Submission Deadline: Sunday 22 Jan 2023
Conference Dates: Jun 25, 2023 - Jun 30, 2023
The aim of International Symposium on Information Theory is to expand the discussion of research in Algorithm, Discrete mathematics, Decoding methods, Communication channel and Theoretical computer science. Discussions in International Symposium on Information Theory are anchored in the subject of Algorithm and the similar topic of Code (cryptography). Some problems in Discrete mathematics that were presented in International Symposium on Information Theory overlapped with concepts under Combinatorics, Block code, Linear code, Binary number and Upper and lower bounds.
The conference explores topics in Linear code which can be helpful for research in disciplines like Hamming code and Low-density parity-check code. It tackles studies in Additive white Gaussian noise and the interrelated subject of Gaussian noise to gain insights into Decoding methods. Transmitter, Computer network and Topology are some topics wherein Communication channel research discussed in it have an impact.
The event explores topics in Topology which can be helpful for research in disciplines like Telecommunications, MIMO and Gaussian. The Theoretical computer science study featured in it draws connections with the study of Information theory. While the conference focused on Concatenated error correction code, it was also able to explore topics like Forward error correction and Turbo code.
The published articles tackle a plethora of topics, such as Algorithm, Discrete mathematics, Decoding methods, Communication channel and Theoretical computer science. Issues in Discrete mathematics were discussed in the conference publications, taking into consideration concepts from other disciplines like Combinatorics, Block code, Linear code, Information theory and Upper and lower bounds. The published papers focus on Communication channel but the discussions also offer insight into other areas such as Transmitter, Computer network and Topology.
Information theory, Algorithm, Decoding methods, Discrete mathematics and Upper and lower bounds are the subjects of interest in International Symposium on Information Theory. The Information theory works featured in International Symposium on Information Theory incorporate elements from Theoretical computer science, Combinatorics, Set (abstract data type), Applied mathematics and Server. International Symposium on Information Theory encompasses Server studies in the context of Computer network as a whole.
While work presented in International Symposium on Information Theory provided substantial information on Algorithm, it also covered topics in Encoding (memory), Communication channel, Binary number, Code (cryptography) and Coding (social sciences). The study of Topology and how it intertwines with concepts under Channel capacity were explored in the presented Communication channel research. Issues in Upper and lower bounds were discussed, taking into consideration concepts from other disciplines like Function (mathematics) and Gaussian.
A key indicator for each conference 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 at International Symposium on Information Theory (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at International Symposium on Information Theory (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
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, 1.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.91% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.99% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.43% of all publications and 40.67% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.
Jun 12, 2024 - Jun 14, 2024
Deadline: Monday 20 Nov 2023
Jul 11, 2021 - Jul 11, 2021
Jun 26, 2022 - Jul 01, 2022
Jun 25, 2023 - Jun 30, 2023
IEEE International Symposium on Information Theory
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