World's Best Scientists 2026 revealed!
Theory and Decision
H-index 8

Theory and Decision

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Economics and Finance 356 33 36 6

Additional Metrics

Number of Best Scientists*: 52
Documents by Best Scientists*: 52
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 48
SCIMAGO SJR: 0.478
Impact Factor: 0.6

Overview

Top Research Topics at Theory and Decision?

The topics of Mathematical economics, Decision theory, Microeconomics, Game theory and Expected utility hypothesis are the focal point of discussions in the journal. Mathematical economics research presented in Theory and Decision encompasses a variety of subjects, including Axiom, Preference (economics) and Rationality. The work on Decision theory addressed in the journal expands to the thematically related Decision rule.

Theory and Decision focuses on Expected utility hypothesis as well as the interrelated topic of Econometrics.

  • Mathematical economics (46.29%)
  • Decision theory (14.00%)
  • Microeconomics (13.36%)

What are the most cited papers published in the journal?

  • THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS (1431 citations)
  • THE STRUCTURE OF RANDOM UTILITY MODELS (1266 citations)
  • Counterintuitive behavior of social systems (508 citations)

Research areas of the most cited articles at Theory and Decision:

The most cited publications generally zeroe in on subjects such as Mathematical economics, Decision theory, Game theory, Expected utility hypothesis and Econometrics. The Mathematical economics research presented in the most cited publications focuses mostly on Rationality and, on occasion, topics in Positive economics. In addition to Decision theory research, the most cited papers aim to explore topics under Event (probability theory), Preference and Operations research.

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

  • Law
  • Statistics
  • Epistemology

The previous edition focused in particular on these issues:

Theory and Decision was organized to reinforce research efforts on Mathematical economics, Ambiguity, Microeconomics, Econometrics and Outcome (game theory). Topics in Mathematical economics were tackled in line with various other fields like Unanimity and Axiom. In it, Epistemology, Prior probability and Persuasion are investigated in conjunction with one another to address concerns in Ambiguity research.

The journal addresses concerns in the field of Microeconomics by exploring it in line with topics in Risk aversion which intersect with Discount points subjects. The research on Econometrics tackled can also make contributions to studies in the areas of Knightian uncertainty, Correlation, Measure (mathematics), CONTEST and Realization (probability). The studies in Expected utility hypothesis featured incorporate elements of Optimism and Pessimism.

The most cited articles from the last journal are:

  • Individual-level loss aversion in riskless and risky choices (28 citations)
  • Signal extraction: experimental evidence (4 citations)
  • Poverty and economic decision making: a review of scarcity theory (3 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 Theory and Decision (based on the number of publications) are:

  • Peter C. Fishburn (17 papers) absent at the last edition,
  • Werner Güth (14 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Pavlo R. Blavatskyy (14 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Shmuel Nitzan (12 papers) published 1 paper at the last edition,
  • R. Duncan Luce (12 papers) absent at the last 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 Theory and Decision (based on the number of publications) are:

  • University of Paris (49 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Centre national de la recherche scientifique (31 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Tilburg University (29 papers) published 2 papers at the last edition,
  • University of California, Irvine (26 papers) published 2 papers at the last edition,
  • Max Planck Society (25 papers) published 1 paper at the last edition, 1 less than at the previous 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, 7.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.43% of all publications and 57.14% 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.

Career Prospects in Mathematical Economics and Decision Theory

With a clear focus on Mathematical Economics, Decision Theory, and related topics, Theory and Decision equips prospective researchers and academicians with the in-depth knowledge and tools needed in these comprehensive and ever-evolving fields. However, a significant number of our readers, especially students and young researchers, are often keen on understanding the practical implications and career prospects that studying these topics can offer.

Exposing yourself to research in Mathematical Economics and Decision Theory doesn't only serve academic interests. Indeed, these topics are highly valued in numerous career paths. In the business world, for instance, experts in these subjects can aid in strategic decision-making, inform financial forecasting, or optimize operational efficiencies. Public sector roles, such as policy-making or advisory positions, may also be heavily influenced by these areas of study.

One particularly noteworthy route is pursuing a career as a Certified Public Accountant (CPA). A strong understanding of Mathematical Economics and Decision Theory can provide a solid foundation for the financial and strategic aspects of accounting roles. Moreover, becoming a CPA can open doors to a wide range of exciting professional opportunities, from auditing and tax services to corporate finance and management consulting. For those curious to learn about this path, check out this guide on how to become a CPA in Nevada.

For readers seeking to leverage their knowledge base to enter academia, numerous universities worldwide offer teaching and research positions in these fields. Alternatively, for those interested in applying their expertise in a real-world business context, consulting agencies, financial institutions, and government bodies are always on the lookout for talents who can apply Mathematical Economics and Decision Theory methodologies to address pressing issues.

In conclusion, equipping oneself with the knowledge of Mathematical Economics and Decision Theory through Theory and Decision can provide a rewarding edge in various academic and professional fields.

Top Publications

  • Individual-level loss aversion in riskless and risky choices

    Simon Gächter;Eric J. Johnson;Andreas Herrmann

    (2021)
    627 Citations
  • Good decision vs. good results: Outcome bias in the evaluation of financial agents

    Christian König-Kersting;Monique Pollmann;Jan Potters;Stefan T. Trautmann

    (2021)
    24 Citations
  • The correct formula of 1979 prospect theory for multiple outcomes

    (2022)
    10 Citations
  • Endowment effects in the risky investment game

    Stein T. Holden;Mesfin Tilahun;Mesfin Tilahun

    (2021)
    9 Citations
  • Signal extraction: experimental evidence

    Te Bao;John Duffy

    (2021)
    8 Citations

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Best Scientists Contributing to This Journal

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