0097-5397
Published by: Society for Industrial and Applied Mathematics
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 202 | 125 | 132 | 26 |
| Mathematics | 243 | 34 | 39 | 11 |
SIAM Journal on Computing primarily focuses on research topics in Combinatorics, Discrete mathematics, Algorithm, Time complexity and Upper and lower bounds. Issues in Combinatorics were discussed, taking into consideration concepts from other disciplines like Computational complexity theory and Bounded function. It addresses concerns in Discrete mathematics which are intertwined with other disciplines, such as Set (abstract data type), Degree (graph theory), Constant (mathematics), Function (mathematics) and Polynomial.
Most of the works presented in it deals with Algorithm but it intersects with the subject of Theoretical computer science. The Upper and lower bounds study featured in SIAM Journal on Computing draws connections with the study of Omega. The journal tackles topics on Approximation algorithm, which can potentially contribute to the wider field of Mathematical optimization.
SIAM Journal on Computing focuses on Mathematical optimization as well as the interrelated topic of Scheduling (computing).
The journal papers mostly deal with topics like Combinatorics, Discrete mathematics, Algorithm, Time complexity and Approximation algorithm. The journal papers address concerns in the field of Combinatorics by exploring it in line with topics in Upper and lower bounds which intersect with Omega subjects. Discrete mathematics study tackled in the most cited articles is connected to the field of Polynomial.
SIAM Journal on Computing generally zeroes in on subjects such as Combinatorics, Discrete mathematics, Approximation algorithm, Communication complexity and Mathematical optimization. Combinatorics research discussed connects with the study of Matching (graph theory). The studies in Discrete mathematics featured incorporate elements of List decoding, Pseudorandomness, Matrix (mathematics), Space (mathematics) and Constraint satisfaction problem.
The journal focuses on Approximation algorithm but the discussions also offer insight into other areas such as Network planning and design, Spanner, Maximization, Combinatorial auction and Topology. Aside from discussions in Communication complexity, SIAM Journal on Computing also deals with the subject of Exponential function which intersects with Nonnegative rank and Linear programming disciplines. The journal explores research in Scheduling (computing) and overlapping concepts in Lift (data mining) and Wireless network to expand the discourse in Mathematical optimization.
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 SIAM Journal on Computing (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 SIAM Journal on Computing (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, 91.30% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 50.00% 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.
Amit Sahai;Brent Waters
(2021)Dan Feldman;Melanie Schmidt;Christian Sohler
(2020)Scott Aaronson
(2020)Cristian S. Calude;Sanjay Jain;Bakhadyr Khoussainov;Wei Li
(2020)Omer Reingold;Guy N. Rothblum;Ron D. Rothblum
(2021)Yang Cai;Nikhil R. Devanur;S. Matthew Weinberg
(2021)Paul Dütting;Michal Feldman;Thomas Kesselheim;Brendan Lucier
(2020)Andrea Montanari
(2021)Artur Czumaj;Jakub Ła̧cki;Aleksander Ma̧dry;Slobodan Mitrović
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