| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 371 | 14 | 20 | 8 |
| Economics and Finance | 612 | 10 | 11 | 2 |
The objective of Dynamic Games and Applications is to combine knowledge in the areas of Mathematical economics, Mathematical optimization, Nash equilibrium, Stochastic game and Microeconomics. It explores topics in Mathematical economics which can be helpful for research in disciplines like Class (set theory), Differential game and Replicator equation. The presentations focused mostly on Differential game in an attempt to further explore topics in Control theory.
The work on Mathematical optimization tackled in the journal brings together disciplines like Normal-form game and Game theory. Dynamic Games and Applications focuses on Nash equilibrium research which is adjacent to topics in Differential (infinitesimal). The journal holds forums on Stochastic game that merges themes from other disciplines such as Value (mathematics), Discrete mathematics, Example of a game without a value and Applied mathematics.
Studies on Applied mathematics discussed in it link to the field of Bellman equation. Incentive, Competition (economics) and Oligopoly studies are all carried out as a component of the study in Microeconomics presented. The main emphasis of Dynamic Games and Applications is the research on Repeated game, emphasizing the topic of Screening game.
The published papers primarily tackle Mathematical economics, Mathematical optimization, Applied mathematics, Nash equilibrium and Uniqueness. The most cited papers facilitate discussions on Mathematical economics that incorporate concepts from other fields like Class (set theory) and Distribution (mathematics). In addition to Mathematical optimization research, the published papers aim to explore topics under Wiener process and Smart grid.
The topics of Nash equilibrium, Mathematical economics, Differential game, Stochastic game and Applied mathematics are the focal point of discussions in the journal. In addition to Nash equilibrium research, it aims to explore topics under Competition (economics) and Bilinear interpolation. It served as a forum through which researchers explored different topics like Mathematical economics and Zero (linguistics).
Dynamic Games and Applications focuses on Differential game but the discussions also offer insight into other areas such as Finite set, Microeconomics, Complete information, Bounded function and Uniqueness. Stochastic game research featured in Dynamic Games and Applications incorporates concerns from various other topics such as Voter turnout, Class (set theory), Mathematical optimization, Value (mathematics) and Strategy. The journal facilitates discussions on Applied mathematics that incorporate concepts from other fields like Differentiable function, Discrete time and continuous time and Nonlinear system.
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 Dynamic Games and Applications (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 Dynamic Games and Applications (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, 4.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.58% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.83% of all publications and 60.42% 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.
Michel Grabisch;Michel Grabisch;Fen Li
(2020)Farzaneh Farhadi;Farzaneh Farhadi;Demosthenis Teneketzis
(2021)Alain Bensoussan;Alain Bensoussan;Boualem Djehiche;Hamidou Tembine;Sheung Chi Phillip Yam
(2020)Régis Y. Chenavaz;Corina Paraschiv;Corina Paraschiv;Gabriel Turinici;Gabriel Turinici
(2021)Rene A. Carmona;Christy V. Graves
(2020)Piermarco Cannarsa;Wei Cheng;Cristian Mendico;Kaizhi Wang
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