| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 655 | 12 | 10 | 3 |
The aim of the journal is to expand the discussion of research in Combinatorics, Discrete mathematics, Pure mathematics, Mathematical analysis and Applied mathematics. Combinatorics research featured in the journal incorporates concerns from various other topics such as Convex hull, Convex body, Space (mathematics), Sequence and Convex set. It focuses on Pure mathematics as well as the interrelated topic of Type (model theory).
The most cited papers mainly tackle studies in Discrete mathematics, Combinatorics, Mathematical analysis, Sequence and Order (group theory). The journal papers with studies in Discrete mathematics featured incorporate elements of Bounded function and Core (graph theory). The studies on Combinatorics discussed at the published articles can also contribute to research in the domains of Sumset, Convex body and Convex set.
The journal covers a variety of subjects, including Pure mathematics, Combinatorics, Discrete mathematics, Applied mathematics and Algebra. Topics in Pure mathematics explored in it were investigated in conjunction with research in Series (mathematics), Uniqueness, Ricci curvature, Inequality and Sylow theorems. Some problems in Inequality that were presented in it overlapped with concepts under Martingale (probability theory), Weak type, Differential operator and Type (model theory).
In addition to Combinatorics, it tackled discussions on RNA splicing. It facilitates the exploration of Discrete mathematics in relation to the field of Stirling numbers of the first kind. Studia Scientiarum Mathematicarum Hungarica focuses on Applied mathematics but the discussions also offer insight into other areas such as Logistic map, Interpolation, Obstacle, Entropy (classical thermodynamics) and Monotonic function.
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 Studia Scientiarum Mathematicarum Hungarica (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 Studia Scientiarum Mathematicarum Hungarica (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, 35.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 83.33% 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.
Daniel Hug;Rolf Schneider
(2021)Yuriko Pitones;Enrique Reyes;Rafael H. Villarreal
(2021)Gauss M. Cordeiro;Thiago G. Ramires;Edwin M. M. Ortega;Rodrigo R. Pescim
(2020)Gert Vegter;Mathijs Wintraecken
(2020)For students pursuing Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Programs such as a masters in marketing combine analytical skills with market strategy, providing a competitive edge in data-driven marketing roles.
Additionally, professionals seeking leadership roles often consider accelerated options like 1 year mba programs. These intensive courses fast-track business acumen, complementing a math background with management expertise.
For those interested in organizational dynamics and talent management, pursuing the best online masters degree in human resource management programs offers a flexible avenue to develop strategic HR skills alongside quantitative analysis.
Moreover, combining mathematical knowledge with healthcare can lead to roles supported by cheap nursing programs, enabling a cost-effective transition into nursing with a strong foundation in critical thinking and problem-solving.
Considering these related pathways enriches one's career prospects by blending mathematical expertise with practical, industry-relevant skills.