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Bibliometric Analysis Of Emotional Intelligence Models

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  • Cristina NECULA
  • Adina-Raluca OLTEANU

Abstract

Emotional Intelligence (EI) has evolved through diverse theoretical and measurement traditions, resulting in multiple models that differ in conceptual scope and methodological rigor. This study offers a detailed bibliometric analysis of all major published EI models and their associated measurement instruments from 1995 to 2026, drawing data from Scopus and Web of Science. The investigation maps the intellectual structure, thematic evolution, and citation networks underlying the ability-based, mixed, trait, and behavioral approaches to EI. The analysis compares key models such us Mayer–Salovey–Caruso (MSCEIT), Bar-On (EQ-i), Goleman’s Emotional Competence framework (ECI/ESCI), Petrides’ Trait EI (TEIQue), and workplace measures such as WLEIS, SSEIT, TMMS, Dulewicz & Higgs EIQ, and Genos EI—are assessed in terms of clearly they define EI and how rigorously they measure it. Using visualization tools, including co-citation and keyword co-occurrence mapping, the study reveals how research has shifted from theoretical formulation to applied and organizational domains.

Suggested Citation

  • Cristina NECULA & Adina-Raluca OLTEANU, 2025. "Bibliometric Analysis Of Emotional Intelligence Models," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 19(1), pages 413-433, October.
    • Handle: RePEc:rom:mancon:v:19:y:2025:i:1:p:413-433
    DOI: 10.24818/IMC/2025/04.06
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    References listed on IDEAS

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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
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