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Society for Industrial and Applied Mathematics

ACM-SIAM Symposium on Discrete Algorithms (SODA23) (SODA)

Location: Florence , Italy

Submission deadline: 7/10/2022

Conference dates: 1/22/2023 - 1/24/2023

Research H-index
21

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 1 31 41 14
Computer Science 114 107 130 21

Call for Papers

SODA is sponsored by the SIAM Activity Group on Discrete Mathematics and the ACM Special Interest Group on Algorithms and Computation Theory.

This symposium focuses on research topics related to design and analysis of efficient algorithms and data structures for discrete problems.

The scope includes theoretical analysis, as well as experimental validation, and the mathematical problems related to their development or limitations. The scope also includes aspects of combinatorics and discrete mathematics related to discrete algorithms. Papers that raise important algorithmic problems that can benefit from theoretical investigation and analysis, are encouraged.

The following meetings will be held jointly:
ACM-SIAM Symposium on Discrete Algorithms (SODA23)
Algorithm Engineering and Experiments (ALENEX23)
SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS23)
SIAM Symposium on Simplicity in Algorithms (SOSA23)

Overview

The scientific conference ranking presented on this page offers a comprehensive evaluation of events in the field of Computer Science. This ranking is meticulously compiled by Research.com, a trusted leader in providing reliable scientific data across major disciplines since 2014, with a strong focus on delivering accurate assessments of contributions in Computer Science.

Conference positions in this ranking are determined using a unique bibliometric score specifically developed by Research.com. This score is derived from an analysis combining the estimated h-index of conferences and the number of leading scientists who have presented at each event over the preceding three years. Such a methodology allows for a nuanced reflection of both the scholarly impact and the intellectual leadership associated with each conference.

The 2024 ranking draws upon Impact Score values that were meticulously gathered as of 2024-11-27. The ranking process entailed a rigorous, in-depth evaluation of more than 2,742 conferences, each selected after comprehensive scrutiny and critical examination. Our analysis considered over 148,739 scientific documents published within the last three years by 13,184 esteemed and influential scientists in the domain of Computer Science.

This extensive evaluation underscores our commitment to presenting a credible, data-driven, and authoritative overview of academic events in Computer Science. For a detailed explanation of the methodology used to compute these ranking scores, please visit our Methodology Page.

Papers citation over time

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 Symposium on Discrete Algorithms (based on the number of publications) are:

  • Anupam Gupta (43 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Piotr Indyk (41 papers) absent at the last edition,
  • MohammadTaghi Hajiaghayi (41 papers) absent at the last edition,
  • Pankaj K. Agarwal (39 papers) published 3 papers at the last edition,
  • Sanjeev Khanna (37 papers) published 1 paper at the last edition.

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 Symposium on Discrete Algorithms (based on the number of publications) are:

  • Massachusetts Institute of Technology (319 papers) published 10 papers at the last edition the same number as at the previous edition,
  • Carnegie Mellon University (222 papers) published 8 papers at the last edition, 7 less than at the previous edition,
  • Tel Aviv University (214 papers) published 10 papers at the last edition, 4 more than at the previous edition,
  • Stanford University (210 papers) published 10 papers at the last edition, 2 more than at the previous edition,
  • IBM (154 papers) published 1 paper at the last edition the same number as at the previous edition.

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.

Publication chance based on affiliation

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, 2.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.51% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.77% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.77% of all publications and 28.96% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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