| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 610 | 12 | 13 | 2 |
| Mathematics | 630 | 4 | 7 | 4 |
| Computer Science | 952 | 5 | 8 | 4 |
International Journal of Game Theory mainly tackles studies in Mathematical economics, Game theory, Microeconomics, Combinatorics and Repeated game. International Journal of Game Theory explores research in Mathematical economics alongside concepts in Class (set theory) and other areas of study in Monotonic function. Common value auction and Bargaining problem are some of the facets of Microeconomics tackled in International Journal of Game Theory.
The Combinatorics study featured in the journal draws connections with the study of Discrete mathematics. Aside from discussions in Repeated game, the journal also deals with the subject of Sequential game which intersects with Non-cooperative game disciplines. While Bondareva–Shapley theorem is the key highlight in International Journal of Game Theory, it also covered some subjects on Shapley value and Value (mathematics) and Axiom.
International Journal of Game Theory explores topics in Nash equilibrium which can be helpful for research in disciplines like Correlated equilibrium and Equilibrium selection. The work on Stochastic game addressed in the journal expands to the thematically related Mathematical optimization. The Epsilon-equilibrium study tackling the subject of Trembling hand perfect equilibrium is the focus of it.
The most cited papers explore disciplines such as Mathematical economics, Game theory, Repeated game, Stochastic game and Microeconomics. The published papers investigate Mathematical economics research which frequently intersects with Axiom. The journal papers explore issues in Repeated game which can be linked to other research areas like Sequential game and Non-cooperative game.
International Journal of Game Theory focuses largely on the fields of Mathematical economics, Combinatorics, Discrete mathematics, Game theory and Stochastic game. Issues in Mathematical economics were discussed, taking into consideration concepts from other disciplines like Class (set theory) and Axiom. It holds forums on Combinatorics that merges themes from other disciplines such as Characterization (mathematics) and Disjunctive sum, Combinatorial game theory.
The work on Discrete mathematics tackled in International Journal of Game Theory brings together disciplines like Event (probability theory), Energy (signal processing), Posterior probability and Sequence. It facilitates discussions in Search game as part of the larger field of Game theory, however, it also tackles fields such as Dynamic search. The studies on Stochastic game discussed can also contribute to research in the domains of Stochastic process, Generalization and Partially ordered set.
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 International Journal of Game Theory (based on the number of publications) are:
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 International Journal of Game Theory (based on the number of publications) are:
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.
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, 4.62% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.13% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.42% of all publications and 51.61% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
The principles and theories represented in the International Journal of Game Theory greatly impact other fields of academic study. Accounting and finance are prime examples. Using game theoretic concepts, professionals in these fields can make more informed and strategic decisions. This includes everything from deciding on major corporate investments to navigating complex taxation laws. Game theory principles such as Nash Equilibrium and Sequential Games can be crucial to understanding financial markets and investment strategies. For instance, in the context of investment decision-making, investors can use these theories to predict the actions of other market participants and strategically plan their investment moves accordingly. Similarly, principles of repeated games can guide firms in their long-term financial decision-making processes. Game theory’s impact in accounting cannot be overstated either. The understanding of strategic interactions, a core concept in game theory, is fundamental to implementing effective tax planning strategies. For example, considerations of how governing bodies may react to certain tax strategies can lead to more effective implementation of these strategies. Nash equilibrium, a fundamental concept in game theory, is also often used to understand and navigate situations involving audit and tax compliance. The application of game theory to accounting and finance is a rapidly developing area of study. For those interested in further expanding their knowledge on the subject, exploring courses and programs that provide a deeper understanding could be beneficial. For instance, you could consider enrolling in one of the best accounting programs in Georgia, where you could delve into other related topics such as mathematical economics and microeconomics - other important concepts discussed in the International Journal of Game Theory.
Lawrence M. Ausubel;Oleg Baranov
(2020)Endre Boros;Vladimir Gurvich;Nhan Bao Ho;Kazuhisa Makino
(2021)Yangbo Song;Mihaela van der Schaar
(2020)Exploring related online degrees can open diverse career opportunities alongside a traditional Computer Science education. For those interested in cutting-edge technology, pursuing a degree in what jobs can you get with an ai degree provides insight into roles such as AI developer, machine learning engineer, and data scientist.
Additionally, fields like environmental science and engineering continue to grow, offering unique interdisciplinary career paths. Students looking to combine technology with sustainability might explore an environmental science degree or consider environmental engineering degrees online for affordable, flexible education options.
For those aiming to speed up their career entry, the best online accelerated computer science degree programs offer a way to gain skills quickly and efficiently. More details can be found under accelerated computer science degree.
Overall, combining computer science with related online degrees broadens career pathways in technology, sustainability, and innovation, making it easier to tailor education to future goals.
