| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 412 | 108 | 128 | 14 |
| Mathematics | 489 | 19 | 25 | 5 |
Information & Computation tackles a plethora of topics, such as Discrete mathematics, Algorithm, Control theory, Combinatorics and Artificial intelligence. Topics in Discrete mathematics were tackled in line with various other fields like Bounded function, Set (abstract data type) and Algebra. Algorithm research featured in the journal incorporates concerns from various other topics such as Theoretical computer science and Mathematical optimization.
The study on Control theory presented in the journal intersects with the topics under Control (management). Combinatorics research discussed connects with the study of Upper and lower bounds. The Artificial intelligence works featured in the journal incorporate elements from Natural language processing, Machine learning, Computer vision and Pattern recognition.
The most cited articles are organized to address concerns in the fields of Discrete mathematics, Algorithm, Combinatorics, Algebra and Theoretical computer science. The journal publications focus on Discrete mathematics but the discussions also offer insight into other areas such as Automaton, Bounded function and Set (abstract data type). The studies on Algebra discussed at the journal publications can also contribute to research in the domains of Process calculus and Bisimulation.
Theoretical computer science, Discrete mathematics, Combinatorics, Set (abstract data type) and Decidability are the subjects of interest in the journal. In the journal, Computational complexity theory, Context (language use), Semantics (computer science) and Petri net are investigated in conjunction with one another to address concerns in Theoretical computer science research. Time complexity is a primary topic of Discrete mathematics research in the journal.
The concepts on Combinatorics presented in it can also apply to other research fields, including Word (group theory) and String (computer science). Topics in Set (abstract data type) explored in it were investigated in conjunction with research in Power (physics), Word (computer architecture), Function (mathematics), Topology and Data structure. The close relationship between Bounded function and Algorithm and Upper and lower bounds is one of the points of interest dissected in Decidability research.
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 Information & Computation (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 Information & Computation (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, 10.08% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.28% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.28% of all publications and 71.03% 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.
Shaull Almagor;Udi Boker;Orna Kupferman
(2020)Benjamin Fuller;Xianrui Meng;Leonid Reyzin
(2020)Bosheng Song;Kenli Li;David Orellana-Martín;Luis Valencia-Cabrera
(2020)Zhengbing Bian;Fabián A. Chudak;William G. Macready;Aidan Roy
(2020)Christel Baier;Christian Hensel;Lisa Hutschenreiter;Sebastian Junges
(2020)Éric Goubault;Jérémy Ledent;Sergio Rajsbaum
(2021)Daowen Qiu;Shenggen Zheng
(2020)Francis George C. Cabarle;Francis George C. Cabarle;Xiangxiang Zeng;Xiangxiang Zeng;Niall Murphy;Tao Song
(2021)Nathanaël Fijalkow;Nathanaël Fijalkow;Cristian Riveros;Cristian Riveros;James Worrell
(2020)For those interested in advancing their education in Computer Science, exploring doctoral programs online can be a strategic move. These accelerated programs offer opportunities to specialize deeply, often with flexible schedules that fit working professionals.
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Considering future trends is also crucial. The best majors for the future highlight evolving industries and emerging technologies, helping students select degrees that offer both relevance and resilience in a competitive job market.
