Bibliometric analysis of the world scientific production on emotional intelligence (2000-2021)

Teresa Ramos-Quispe; Dennis Arias-Chavez; Willy Valle Salvatierra; Nilo Albert Velásquez Castillo

doi:10.53730/ijhs.v6nS2.8461

Authors

Teresa Ramos-Quispe
tramosq@unsa.edu.pe
Universidad Nacional de San Agustín de Arequipa, Arequipa, Peru
Dennis Arias-Chavez Universidad Continental, Arequipa, Peru
Willy Valle Salvatierra Los Angeles Catholic University of Chimbote
Nilo Albert Velásquez Castillo Los Angeles Catholic University of Chimbote

Keywords:

bibliometric indicators, scientific production, emotional intelligence

Abstract

The aim of the study is to characterize the worldwide scientific production on emotional intelligence in the Scopus and Web of Science databases. The study is quantitative with bibliometric methodology. Its scope is descriptive and retrospective. The unit of study was considered to be the world scientific production generated on emotional intelligence, in the period from 2000 to 2021. A total of 2000 documents from the Web of Science database and 2000 from Scopus were analyzed. Regarding the number of authors, Scopus presents 4053 and Web of Science 4190 authors. The rate of collaboration between authors is slightly higher in Web of Science (2.26) compared to 2.22 in Scopus. The article "The effects of leader and follower emotional intelligence on performance and attitude: An exploratory study" stands out as the most cited document in this period and Konstantinos Petrides of University College London as the author with the highest number of publications on emotional intelligence. The journal Personality and Individual Differences (Elsevier) is the medium with the largest number of documents on the subject. The United States is the main producer of scientific evidence, highlighting its collaborations with the United Kingdom.

Downloads

Download data is not yet available.

References

Akbey, M. B. (2018). Bibliometric Analysis Of Education-Related Emotional Intelligence Literature. Research Inventy: International Journal of Engineering And Science,8 (2), 31-38.

Anchundia Vera, M. A. (2019). Taller de educación inclusiva en el desempeño docente en una escuela de educación básica de Guayaquil- 2018 [Universidad César Vallejo]. In Repositorio Institucional - UCV. https://repositorio.ucv.edu.pe/handle/20.500.12692/35807

Andriana, E., & Evans, D. (2020). Listening to the voices of students on inclusive education: Responses from principals and teachers in Indonesia. International Journal of Educational Research, 103, 101644. https://doi.org/10.1016/J.IJER.2020.101644

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007

Arias-Chávez, D., Postigo-Zumarán, J., Chumacero Calle, J., Palacios Garay, J., Ocaña-Fernández, Y., & Hernández, R. M. (2021). Global scientific production on Covid-19 vaccine: analysis of the period 2020-2021. Archivos Venezolanos de Farmacología y Terapéutica, 40(4), 296-406. https://doi.org/10.5281/zenodo.5227345.

Ávila Navarrete, M. A. (2019). Inclusión del Siglo XXI: reflexiones sobre la Educación Inclusiva en Chile y Latinoamérica. Polyphōnía: Revista de Educación Inclusiva/Polyphōnía: Inclusive Education Journal, 3, 153–185. http://revista.celei.cl/index.php/PREI/index-153-

Bar-On, R. (1997). The emotional quotient inventory (EQ-i): A test of emotional intelligence. Multi-Health Systems.

Bin Yuan, M. M. Kamruzzaman, Shaonan Shan, "Application of Motion Sensor Based on Neural Network in Basketball Technology and Physical Fitness Evaluation System", Wireless Communications and Mobile Computing, vol. 2021, Article ID 5562954, 11 pages, 2021. https://doi.org/10.1155/2021/5562954

Campos, S., Jorge, F., Correia, R. J., & Teixeira, M. S. (2018). Emotional Intelligence in management and leadership literature-A bibliometric analysis. I Encontro Internacional de Língua Portuguesa e Relações Lusófonas. http://hdl.handle.net/10198/20468

Chi, Z., Jiang, Z., Kamruzzaman, M.M. et al. Adaptive momentum-based optimization to train deep neural network for simulating the static stability of the composite structure. Engineering with Computers (2021). https://doi.org/10.1007/s00366-021-01335-5

Clavijo Castillo, R. G., & Bautista-Cerro, M. J. (2019). La educación inclusiva. Análisis y reflexiones en la educación superior ecuatoriana. Alteridad, 15(1), 113–124. https://doi.org/10.17163/ALT.V15N1.2020.09

Consejo Nacional de Educación. (2020). Proyecto Educativo Nacional, PEN 2036 : el reto de la ciudadanía plena. In Ministerio de Educación. https://repositorio.minedu.gob.pe/handle/20.500.12799/6910

Cooper, R. K. & Sawaf, A. (1997). Executive EQ: Emotional intelligence in leadership and organization. Grosset Putnam.

Cristóvão, A. M., Candeias, A. A., & Verdasca, J. (2017). Social and emotional learning and academic achievement in Portuguese schools: A bibliometric study. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.01913

Dhanaraj, R. K., Ramakrishnan, V., Poongodi, M., Krishnasamy, L., Hamdi, M., Kotecha, K., & Vijayakumar, V. (2021). Random Forest Bagging and X-Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data. Wireless Communications and Mobile Computing, 2021.

Dhiman, P., Kukreja, V., Manoharan, P., Kaur, A., Kamruzzaman, M. M., Dhaou, I. B., & Iwendi, C. (2022). A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits. Electronics, 11(3), 495.

do Prado, A. E., & de Campos, F. C. (2018). Bibliometric analysis 1990-2014: Competitive intelligence. Perspectivas Em Ciencia Da Informacao,23 (1), 71-88. https://doi.org/10.1590/1981-5344/2375

Elipe, P., Mora-Merchan, J.A., Ortega-Ruiz, R., & Casas, J.A.. (2015). Perceived emotional intelligence as a moderator variable between cybervictimization and its emotional impact. Frontiers in Psychology, 6, 486. https://doi.org/10.3389/fpsyg.2015.00486. https://doi.org/10.3389/fpsyg.2015.00486

Escribano Hervis, E. (2018). El desempeño del docente como factor asociado a la calidad educativa en América Latina. Revista Educación, 717–739. https://doi.org/10.15517/REVEDU.V42I2.27033

Estela Paredes, R. (2020). 2 Modulo 1 Investig Propositiva. Calameo. https://es.calameo.com/read/006239239f8a941bec906

Fernandez-Berrocal, P., & Extremera, N. (2016). Ability Emotional Intelligence, Depression, and Well-Being. Emotion Review, 8(4), 311-315. https://doi.org/10.1177/1754073916650494.

Garaibordobil, M. & Oñederra, J.A. (2010). Emotional intelligence in bullying victims and bullies. European Journal of Education and Psychology, 3(2), 243-256.

Glänzel, W. & Schoepflin, U. (1995). A bibliometric study on ageing and reception processes of scientific literature. J. Inform. Sci, 21, 37-53 .

Glänzel, W. & Schoepflin, U. (1999). A bibliometric study of reference literature in the sciences and social sciences. Information Processing & Management, 35,31-44 .

Gobierno Regional Lambayeque. (2006). Proyecto Educativo Regional de Lambayeque al 2021. Minedu. https://repositorio.minedu.gob.pe/handle/20.500.12799/1035

Goleman, D. (1998). Working with emotional intelligence. Bantam Books.

González-Sala, F., Osca-Lluch, J., Tortosa, F., & Peñaranda, M. (2017). Benefits of relationships between editorial board members and scientific journals. The case of Iberoamerican journals of Psychology. Revista Española de Documentación Científica, 40(4), e189. https://doi.org/10.3989/redc.2017.4.1460

Gottman, J. (1997). The heart of parenting: How to raise an emotionally intelligent child. Simon & Schuster.

Guobin Chen, Zhiyong Jiang, M.M. Kamruzzaman. (2020). Radar remote sensing image retrieval algorithm based on improved Sobel operator, Journal of Visual Communication and Image Representation, Volume 71, 2020, 102720, ISSN 1047-3203 https://doi.org/10.1016/j.jvcir.2019.102720.

Hernández Sampieri, R., Fernández Collado, C., & Baptista Lucio, M. del P. (2014). Metodología de la investigación (6th ed.). McGRAW-HILL. https://www.uca.ac.cr/wp-content/uploads/2017/10/Investigacion.pdf

Hernández-Quirama, A., & Oviedo-Cáceres, M. del P. (2019). La educación inclusiva para el colectivo docente es un reto que se asume en soledad. Ciencia & Tecnología, 11(2), 113–125. https://doi.org/10.22335/rlct.v11i2.832

Hill, P.L., Heffernan, M.E., & Allemand, M. (2015). Forgiveness and Subjective Well-Being: Discussing Mechanisms, Contexts, and Rationales. In L.L. Toussaint (Ed.). Forgiveness and Health (pp. 155-169). Springer. https://doi.org/10.1007/978-94-017-9993-5_11

Holden, G., Rosenberg, G., & Barker, K. (2005). Tracing thought through time and space. Social Work in Health Care, 41(3-4), 1-34. https://doi.org/10.1300/J010v41n03_01. https://doi.org/10.1300/J010v41n03_01

K, A.; J, S.; Maurya, S.; Joseph, S.; Asokan, A.; M, P.; Algethami, A.A.; Hamdi, M.; Rauf, H.T. Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. Sensors 2021, 21, 7793. https://doi.org/10.3390/s21237793

Karakus, M., Usak, M., & Ersozlu, A. (2021). Emotions in learning, teaching and leadership: A bibliometric review of Asian literature (1990-2018). SAGE Open,11 (1), 1-18. https://doi.org/10.1177/2158244020988865.

Liu, J., Fan, L., & Yin, H. (2020). A bibliometric analysis on cognitive processing of emotional words. Digital Scholarship in the Humanities,35 (2), 353-365. https://doi.org/10.1093/LLC/FQZ025

Lomas, J., Stough, C., Hansen, K., & Downey, L.A. (2012). Brief report: Emotional intelligence, victimization and bullying in adolescents. Journal of Adolescence, 35, 207-211. https://doi.org/10.1016/j.adolescence.2011.03.002

Lopez Altamirano, D. A., Paredes Zhirzhan, Z. M., Paredes Solís, W. E., Paucar Pomboza, A. B., Cjango Simbaña, J. M., Llerena Medina, L. D., & Sánchez Aguaguiña, R. E. (2021). Necesidades Educativas Especiales: Una mirada a la planificación de actividades según el grado de discapacidad. Dominio de Las Ciencias, 7(4), 719–730. https://doi.org/10.23857/DC.V7I4.2121

Lopez Jimenez, C. C., & Noguera Coronado, T. J. (2019). Formación docente en inclusión de niños con necesidades educativas especiales [Universidad de la Costa]. https://repositorio.cuc.edu.co/handle/11323/5783?show=full

M. M. Kamruzzaman, ""New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Smart Cities,"" 2021 IEEE Globecom Workshops (GC Wkshps), 2021, pp. 1-6, doi: 10.1109/GCWkshps52748.2021.9682055."

M. M. Kamruzzaman, "Performance of Turbo Coded Vertical Bell Laboratories Layered Space Time Multiple Input Multiple Output system," Computer and Information Technology (ICCIT), 2013 16th International Conference on, Khulna, 2014, pp. 455-459.

M. M. Kamruzzaman: Performance of Decode and Forward MIMO Relaying using STBC for Wireless Uplink. JNW 9(12): 3200-3206 (2014)

Ma Victoria, R. (2018). Educación inclusiva en las aulas. Educatio Siglo XXI, 36(1), 256–262. https://www.proquest.com/docview/2053261705/abstract/4CBC1F655F47455BPQ/1?accountid=37610

Martínez, A. R., Moya-Faz, F. J., & de Los Fayos Ruiz, Y. E. J. G. (2013). Emotional intelligence and sport: Current state of research. Cuadernos de Psicologia del Deporte,13 (1), 105-112. https://doi.org/10.4321/S1578-84232013000100011. https://doi.org/10.4321/S1578-84232013000100011.

Mayer, J. D., Caruso, D., & Salovey, P. (2000). Selecting a measure of emotional intelligence: the case for ability scales. In R. Bar-On & J. D. A. Parker (Eds.), The handbook of emotional intelligence: Theory, development, assessment, and application at home, school, and in the workplace (pp. 320-342). Jossey-Bass.

Mayer, J. D., Roberts, R., & Barsade. S. (2008). Human abilities: Emotional intelligence. Annual Review of Psychology, 59. 507-536. https://doi.org/10.1146/annurev.psych.59.103006.093646

Mayer, J. D., Salovey, P., & Caruso, D. R. (2004). Emotional intelligence: Theory, findings, and implications. Psychological Inquiry, 15(3). 197–215. https://doi.org/10.1207/s15327965pli1503_02

Mayer, J. D., Salovey, P., Caruso, D. R., & Sitarenios, G. (2003). Measuring emotional intelligence with the MSCEIT V2.0. Emotion, 3(1). 97–105. https://doi.org/10.1037/1528-3542.3.1.97

Md Hossain, MM Kamruzzaman, Shuvo Sen, Mir Mohammad Azad, Mohammad Sarwar Hossain Mollah, Hexahedron Core with Sensor Based Photonic Crystal Fiber,2021

Md Nazirul Islam Sarker, Md Lamiur Raihan, Yang Peng, Tahmina Chumky, MM Kamruzzaman, Roger C Shouse, Huh Chang Deog, "COVID-19: Access to Information, Health Service, Daily Life Facility and Risk Perception of Foreigners during Coronavirus pandemic in South Korea," Archives of Medical Science, 2021, https://doi.org/10.5114/aoms/141164

Md Selim Hossain, MM Kamruzzaman, Shuvo Sen, Mir Mohammad Azad, Mohammad Sarwar Hossain Mollah, Hexahedron core with sensor based photonic crystal fiber: An approach of design and performance analysis," Sensing and Bio-Sensing Research, 32, 100426

Mingju Chen, Xiaofeng Han, Hua Zhang, Guojun Lin, M.M. Kamruzzaman, Quality-guided key frames selection from video stream based on object detection, Journal of Visual Communication and Image Representation, Volume 65, 2019, 102678, ISSN 1047-3203

Ministerio de educación. (2014). Marco de Buen Desempeño Docente. Corporación Gráfica Navarrete. http://www.minedu.gob.pe/pdf/ed/marco-de-buen-desempeno-docente.pdf

Molina Bernal, M. C. (2017). Propuesta de formación docente para la educación inclusiva de estudiantes en situación de discapacidad intelectual. [Universidad Sergio Arboleda]. https://repository.usergioarboleda.edu.co/handle/11232/1308

Montoya-González, A. (2021). Educación inclusiva. ¿Cómo estamos? Revista Innova Educación, 3(3), 33–52. https://doi.org/10.35622/j.rie.2021.03.002

Naciones Unidas. (2018). La Agenda 2030 y los Objetivos de Desarrollo Sostenible: una oportunidad para América Latina y el Caribe. LC/G.2681-P/Rev.3. www.cepal.org/es/suscripciones

Olaleye, S. A. (2020). Visualizing cultural emotional intelligence literature: A bibliometric review 2001 - 2020. In: P. Laine, I. Némethová & T. Wiwczaroski (Eds.) Intercultural competence at work. Seinäjoki: Seinäjoen ammattikorkeakoulu. Publications of Seinäjoki University of Applied Sciences B. Reports 160, 142 - 156. http://urn.fi/URN:NBN:fi-fe20201215100768

Osca-Lluch, J., Miguel, S., González, C., Peñaranda-Ortega, M., & Quiñones-Vidal, E. (2013). Coverage and overlap of Web of Science and Scopus in the analysis of Spanish scientific activity in psychology. Anales de Psicología, 29(3), 1025-1031. https://doi.org/10.6018/analesps.29.3.154911.

Pérez, A. (2017). WoS and Scopus: the great allies of every researcher. https://doi.org/10.3916/escuela-de-autores-031

Picard, P., Vyzas, E., & Healey, J. (2001). Toward machine emotional intelligence: analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10). 1175-1191. https://doi.org/10.1109/34.954607

Poongodi, M., Hamdi, M., Gao, J., & Rauf, H. T. (2021, December). A Novel Security Mechanism of 6G for IMD using Authentication and Key Agreement Scheme. In 2021 IEEE Globecom Workshops (GC Wkshps) (pp. 1-6). IEEE.

Poongodi, M., Hamdi, M., Sharma, A., Ma, M., & Singh, P. K. (2019). DDoS detection mechanism using trust-based evaluation system in VANET. IEEE Access, 7, 183532-183544.

Poongodi, M., Hamdi, M., Varadarajan, V., Rawal, B. S., & Maode, M. (2020, July). Building an authentic and ethical keyword search by applying decentralised (Blockchain) verification. In IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 746-753). IEEE.

Poongodi, M., Hamdi, M., Vijayakumar, V., Rawal, B. S., & Maode, M. (2020, September). An effective electronic waste management solution based on blockchain smart contract in 5G communities. In 2020 IEEE 3rd 5G World Forum (5GWF) (pp. 1-6). IEEE.

Poongodi, M., Nguyen, T. N., Hamdi, M., & Cengiz, K. (2021). Global cryptocurrency trend prediction using social media. Information Processing & Management, 58(6), 102708.

Poongodi, M., Vijayakumar, V., Al-Turjman, F., Hamdi, M., & Ma, M. (2019). Intrusion prevention system for DDoS attack on VANET with reCAPTCHA controller using information based metrics. IEEE Access, 7, 158481-158491.

Ramos-Huenteo, V., García-Vásquez, H., Olea-González, C., Lobos-Peña, K., & Sáez-Delgado, F. (2020). Percepción docente respecto al trabajo pedagógico durante la COVID-19. CienciAmérica, 9(2), 334–353. https://doi.org/10.33210/CA.V9I2.325

Rawal, B. S., Manogaran, G., Poongodi M & Hamdi, M. (2021). Multi-Tier Stack of Block Chain with Proxy Re-Encryption Method Scheme on the Internet of Things Platform. ACM Transactions on Internet Technology (TOIT), 22(2), 1-20.

Rey, L., Quintana-Orts, C., Mérida-López, S., & Extremera, N. (2018). Emotional intelligence and cybervictimization in adolescents: Gender as a moderator. Comunicar, 56, 09-18. https://doi.org/10.3916/C56-2018-01.

Rivas, J., Uribe-Tirado, A., López-Meza, E., & Limaymanta, C. (2021). Information literacy in Library and Information Science A bibliometric analysis in Latin America (2001-2020). Information, Culture, and Society, 45. 95-112. https://doi.org/10.34096/ics.i45.10433.

Sahoo, S. K., Mudligiriyappa, N., Algethami, A. A., Manoharan, P., Hamdi, M., & Raahemifar, K. (2022). Intelligent Trust-Based Utility and Reusability Model: Enhanced Security Using Unmanned Aerial Vehicles on Sensor Nodes. Applied Sciences, 12(3), 1317.

Salovey, P., & Mayer, J. D. (1990). Emotional Intelligence. Imagination, Cognition and Personality,9 (3), 185-211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG

Salovey, P., Woolery, A., & Mayer, J. D. (2001) Emotional intelligence: Conceptualization and measurement. In G. J. O. Fletcher & M. S. Clark (Eds.). Blackwell handbook of social psychology: Interpersonal processes (pp. 279-307). Blackwell Publishers.

Sanchez-Gomez, M. (2019). The Mobile Emotional Intelligence Test (MEIT): An Ability Test to Assess Emotional Intelligence at Work. https://doi.org/10.3390/su11030827

Schoeps, K., Tamarit, A., Peris-Hernández, M., & Montoya-Castilla, I. (2021). Impact of Emotional Intelligence on Burnout among Spanish Teachers: A Mediation Study. Psicología Educativa. Revista de los Psicólogos de la Educación, 27(2),135-143. https://www.redalyc.org/articulo.oa?id=613766889004

Shapiro, L. E. (1997). How to raise a child with a higher EQ. Harper Collins.

Suárez, M. & Martín, J. (2021). The Mediating Effect of University Teaching Staff's Psychological Well-being between Emotional Intelligence and Burnout. Psicología Educativa. Journal of Educational Psychologists, 27(2), 145-153. https://www.redalyc.org/articulo.oa?id=613766889005

Tenorio Trigoso, A. J. (2019). Marco del Buen Desempeño Docente y desarrollo profesional docente en la Institución Educativa “José Antonio Encinas” de Víctor Larco -Trujillo-2019 [Universidad Cesar Vallejo]. In Repositorio Institucional - UCV. https://repositorio.ucv.edu.pe/handle/20.500.12692/37934

Tucker, J.R., Bitman, R.L., Wade, N.G., & Cornish, M.A.. (2015). Defining forgiveness: Historical roots, contemporary research, and key considerations for health outcomes. In L. Toussaint, E. Worthington, & D. Williams (Eds.), Forgiveness and HealthScientific Evidence and Theories Relating Forgiveness to Better Health (pp. 13-28). Springer. https://doi.org/10.1007/978-94-017-9993-5_2

UNESCO. (2020). Informe de seguimiento de la educación en el mundo, 2020: Inclusión y educación: todos y todas sin excepción - UNESCO Biblioteca Digital. In UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000374817

UNESCO. (2021). Garantizar un aprendizaje a distancia efectivo durante la disrupción causada por la COVID-19: guía para docentes. UNESDOC Biblioteca Digital.

Wallin, J. A. (2005). Bibliometric Methods: Pitfalls and Possibilities. Basic & Clinical Pharmacology & Toxicology,97 (5), 261-275. https://doi.org/10.1111/j.1742-7843.2005.pto_139.x

Wong, C. S., & Law, K. S. (2002). The effects of leader and follower emotional intelligence on performance and attitude: An exploratory study. The Leadership Quarterly, 13(3), 243-274. https://doi.org/10.1016/S1048-9843(02)00099-1

Xing Li, Junpei Zhong, M.M. Kamruzzaman, “Complicated robot activity recognition by quality-aware deep reinforcement learning”, Future Generation Computer Systems,Volume 117, 2021, Pages 480-485.

Y. Shi, S. Wang, S. Zhou and M. M. Kamruzzaman. (2020). Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite. IEEE Access, vol. 8, pp. 159067-159076, 2020, doi: 10.1109/ACCESS.2020.3018180

Yan Zhang, M. M. Kamruzzaman, and Lu Feng “Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data,” Complexity, vol. 2021, Article ID 6690606, 10 pages, 2021. https://doi.org/10.1155/2021/6690606

Yousaf, F., Masrek, M. N., & Bahry, F. D. S. (2021). Emotional Intelligence: A Bibliometric Analysis and Implication for Future Research. Library Philosophy and Practice, 1-31. https://digitalcommons.unl.edu/libphilprac/5689/.

Yuanjin Xu, Ming Wei, M.M. Kamruzzaman, Inter/intra-category discriminative features for aerial image classification: A quality-aware selection model,Future Generation Computer Systems,Volume 119,2021,Pages 77-83,ISSN 0167-739X,https://doi.org/10.1016/j.future.2020.11.015.

Zaldivar Acosta, M., & Quintal Escobedo, S. A. (2022). Factores que influyen en el desempeño docente del nivel básico. Un estudio en la zona rural de Yucatán, México. Plumilla Educativa, 15–27. https://doi.org/10.30554/PE.1.4465.2022