| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 480 | 11 | 16 | 4 |
| Mathematics | 780 | 4 | 4 | 2 |
Mathematical Social Sciences investigates areas of study like Mathematical economics, Microeconomics, Discrete mathematics, Axiom and Combinatorics. The journal facilitates discussions on Mathematical economics that incorporate concepts from other fields like Mathematical optimization, Class (set theory) and Set (abstract data type). Topics like Epsilon-equilibrium and Best response are tackled as part of the discussions on Nash equilibrium.
The journal papers are organized to reinforce research efforts on Mathematical economics, Axiom, Discrete mathematics, Microeconomics and Combinatorics. Condorcet method, Preference (economics) and Mathematical optimization are some topics wherein Mathematical economics research discussed in the published articles has an impact. The published articles tackle studies in Social choice theory and the interrelated subject of Arrow to gain insights into Axiom.
The journal mainly deals with areas of study such as Mathematical economics, Microeconomics, Core (game theory), Axiom and Econometrics. Nash equilibrium is a focus of the Mathematical economics works in it. Mathematical Social Sciences addresses concerns in Microeconomics which are intertwined with other disciplines, such as Ranking, Earnings, Aggregate (data warehouse) and Revenue.
The presented research on Core (game theory) deals specifically with Stochastic game but it also addresses topics in Parameter space, Base (topology), Complete information, Alpha (programming language) and Discrete mathematics. The study of Axiom encompasses disciplines such as Social choice theory, as well as fields such as Game theory, Condorcet method, Dual (category theory) and Simple (abstract algebra), all of which overlap with one another. Some problems in Econometrics that were presented in Mathematical Social Sciences overlapped with concepts under Equilibrium point, Xenophobia, Peer influence and Aggregate supply.
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 Mathematical Social Sciences (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 Mathematical Social Sciences (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, 4.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.24% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.94% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.65% of all publications and 66.18% 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.
While Mathematical Social Sciences is a complex and challenging area of study, with a broad range of research topics under its umbrella, it also offers varied and promising career prospects. Graduates can find opportunities in different fields such as academia, public policy, finance, data analysis, and more. Many graduates choose to further their studies by pursuing higher degrees, such as a Master's or a PhD in related fields. This typically leads to careers in academia, where they engage in ongoing research, contribute to the existing body of knowledge, and inspire the next generation of researchers. Another common path for Mathematical Social Sciences graduates involves leveraging their analytical skills and comprehension of economic theories in the finance sector. Roles as financial analysts or consultants are common, where they assess investment opportunities and financial risks for a myriad of corporations or financial institutions. Public policy is another field where graduates can contribute. The blend of mathematics and social sciences puts them in a unique position to understand, analyze, and influence the public policies that shape societal structures. For individuals who are specifically interested in the complex and dynamic world of taxes and financial regulations, a career path as a Certified Public Accountant (CPA) might be a viable choice. To pursue this, certain qualifications and examinations are required, the details of which can be found in this comprehensive guide on how to become a cpa in Minnesota. Lastly, the rise of big data and the advancements in artificial intelligence have made data analysis a hot field for Mathematical Social Sciences graduates. These roles involve making sense out of complex data sets, identifying patterns, and providing actionable insights for organizations to make informed decisions. Clearly, with a degree in Mathematical Social Sciences, graduates are equipped with versatile skills and knowledge that open up many career paths. The challenge lies in identifying the path that aligns best with one's passion and long-term career goals.
Edi Karni;Nan Zhou
(2021)Raouf Boucekkine;Raouf Boucekkine;Rodolphe Desbordes;Paolo Melindi-Ghidi;Paolo Melindi-Ghidi;Paolo Melindi-Ghidi
(2021)Jess Benhabib;Mildred Hager
(2021)Walter Bossert;Susumu Cato
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