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Journal of Behavioral and Experimental Finance
H-index 28

Journal of Behavioral and Experimental Finance

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Economics and Finance 61 86 122 23

Additional Metrics

Number of Best Scientists*: 135
Documents by Best Scientists*: 173
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 46
SCIMAGO SJR: 1.049
Impact Factor: 4.7

Overview

Top Research Topics at Journal of Behavioral and Experimental Finance?

The journal primarily tackles Social psychology, Microeconomics, Econometrics, Monetary economics and Actuarial science. The journal encompasses presentations on Social psychology, specifically Dictator game, Social preferences, Affect (psychology) and Prosocial behavior. In particular, the Microeconomics works presented emphasize discussions on Public good.

Journal of Behavioral and Experimental Finance explores research in Monetary economics and the adjacent study of Stock market.

  • Social psychology (18.13%)
  • Microeconomics (12.38%)
  • Econometrics (10.81%)

What are the most cited papers published in the journal?

  • Prolific.ac—A subject pool for online experiments (429 citations)
  • Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns. (329 citations)
  • oTree—An open-source platform for laboratory, online, and field experiments (319 citations)

Research areas of the most cited articles at Journal of Behavioral and Experimental Finance:

The published papers are mainly concerned with subjects like Social psychology, Financial economics, Econometrics, Stock market and Behavioral economics. Issues in Social psychology were discussed in the journal articles, taking into consideration concepts from other disciplines like Cognitive Reflection Test and Cognition. The journal articles address concerns in Behavioral economics which are intertwined with other disciplines, such as Financial risk, Actuarial science and Capital asset pricing model.

What topics the last edition of the journal is best known for?

  • Law
  • Social psychology
  • Statistics

The previous edition focused in particular on these issues:

The journal mostly deals with topics like Social psychology, Monetary economics, Econometrics, Sample (statistics) and Microeconomics. In the Social psychology research discussed, Big Five personality traits, Affect (psychology), Dictator game, Prosocial behavior and Personality are all tackled. While Monetary economics is the focus of Journal of Behavioral and Experimental Finance, it also provided insights into the studies of Volatility (finance) and Stock market.

The most cited articles from the last journal are:

  • COVID-19 pandemic and stock market response: A culture effect (17 citations)
  • A tale of company fundamentals vs sentiment driven pricing: The case of GameStop (13 citations)
  • Coronavirus (COVID-19)-An epidemic or pandemic for financial markets (vol 27, 100341, 2020) (9 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Journal of Behavioral and Experimental Finance (based on the number of publications) are:

  • Ofer H. Azar (9 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Andreas Hellmann (7 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Gustav Tinghög (6 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Kelmara Mendes Vieira (6 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Michael Lynn (6 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Behavioral and Experimental Finance (based on the number of publications) are:

  • Ben-Gurion University of the Negev (18 papers) published 5 papers at the last edition the same number as at the previous edition,
  • University of Innsbruck (18 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • University of Gothenburg (16 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Radboud University Nijmegen (14 papers) absent at the last edition,
  • Max Planck Society (14 papers) published 2 papers at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 6.35% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.32% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.86% of all publications and 74.58% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Potential Career Paths after Degree in Behavioral and Experimental Finance

After acquiring a degree in Behavioral and Experimental Finance, numerous career paths open up for the graduates. These include roles in financial institutions, governmental agencies, non-profit organizations, and consulting firms, among others. For those passionate about numbers and business, earning certifications like the Certified Public Accountant (CPA) credential can increase job opportunities and earning potential. For instance, in Missouri, the pathway to becoming a CPA involves meeting specific education, examination, and experience requirements. Interested candidates typically need a degree with a concentration in accounting or a similar field, a passing score on the Uniform CPA Examination, and a certain amount of experience working under the supervision of an active CPA. For further details and guidance on how to navigate this profession in Missouri, you can [view more here](https://research.com/degrees/best-accounting-schools-in-missouri "how to become a cpa in missouri"). In the Behavioral and Experimental Finance sector, professionals with a CPA designation gain a competitive edge. Their knowledge about financial regulations, risk analysis, and strategic thinking, coupled with their ability to apply behavioral and experimental finance concepts profoundly affects decision-making processes in organizations. Therefore, investing in further education and certifications can elevate career prospects for Behavioral and Experimental Finance graduates, allowing them to meaningfully contribute to the financial landscape.

Top Publications

  • Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis

    John W. Goodell;Satish Kumar;Satish Kumar;Weng Marc Lim;Debidutta Pattnaik

    (2021)
    630 Citations
  • The reaction of G20+ stock markets to the Russia–Ukraine conflict “black-swan” event: Evidence from event study approach

    Unknown

    (2022)
    274 Citations
  • A time-frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets.

    Zaghum Umar;Mariya Gubareva

    (2020)
    214 Citations
  • The COVID-19 global fear index and the predictability of commodity price returns

    Afees A. Salisu;Lateef Akanni;Ibrahim Raheem

    (2020)
    196 Citations
  • This time is indeed different: A study on global market reactions to public health crisis

    Daniel Schell;Mei Wang;Toan Luu Duc Huynh;Toan Luu Duc Huynh

    (2020)
    121 Citations

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Best Scientists Contributing to This Journal