| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 27 | 117 | 198 | 29 |
| Computer Science | 207 | 92 | 140 | 26 |
| Engineering and Technology | 338 | 62 | 96 | 23 |
The journal primarily focuses on research topics in Mathematical optimization, Numerical analysis, Combinatorics, Discrete mathematics and Algorithm. The Mathematical optimization works featured in Mathematical Programming incorporate elements from Nonlinear programming and Convex optimization. The journal dives deep in exploring the relationship between the study of Nonlinear programming and Constrained optimization.
Convex optimization study tackled is connected to the field of Convex function. The tackled Numerical analysis research is interrelated with Applied mathematics which concerns subjects like Rate of convergence. The concepts on Combinatorics presented in it can also apply to other research fields, including Convex hull and Integer programming.
The studies in Discrete mathematics featured incorporate elements of Semidefinite programming and Combinatorial optimization. Simplex algorithm and Linear-fractional programming are all topics related to Linear programming research discussed. Mathematical Programming facilitates discussions on Convex analysis that incorporate concepts from other fields like Convex combination and Convex set.
The journal publications primarily tackle Mathematical optimization, Numerical analysis, Algorithm, Combinatorics and Linear programming. In addition to Mathematical optimization research, the most cited papers aim to explore topics under Nonlinear programming and Convex optimization. While Numerical analysis is the key highlight in the most cited papers, thet also covered some subjects on Quadratic programming and Quadratic equation and Second-order cone programming.
The journal primarily tackles Numerical analysis, Applied mathematics, Combinatorics, Mathematical optimization and Regular polygon. The research on Numerical analysis featured in the journal combines topics in other fields like Discrete mathematics, Pure mathematics, Nonlinear system, Linear programming and Optimization problem. Topics in Discrete mathematics were tackled in line with various other fields like Semidefinite programming and Integer programming.
It focuses on Applied mathematics but the discussions also offer insight into other areas such as Convergence (routing), Rate of convergence, Quadratic equation, Convex function and Convex optimization. While Combinatorics is the key highlight in Mathematical Programming, it also covered some subjects on Matrix (mathematics) and Rank (linear algebra). Mathematical Programming features Mathematical optimization research that overlaps with concepts in Class (set theory).
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 Programming (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 Programming (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, 4.69% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.20% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.67% of all publications and 49.75% 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.
Shi Pu;Angelia Nedić
(2021)Bin Shi;Simon S. Du;Michael I. Jordan;Weijie J. Su
(2021)Guanghui Lan;Soomin Lee;Yi Zhou
(2020)Artur Alves Pessoa;Ruslan Sadykov;Eduardo Uchoa;François Vanderbeck
(2020)Mert Gürbüzbalaban;Asuman E. Ozdaglar;Pablo A. Parrilo
(2021)Yurii E. Nesterov
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