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ACM

STOC 2021 : ACM Symposium on Theory of Computing (STOC)

Location: Rome , Italy

Submission deadline: 11/6/2020

Conference dates: 6/21/2021 - 6/21/2021

Research H-index
32

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 55 167 300 32

Call for Papers

Typical but not exclusive topics of interest for STOC papers include foundational areas such as algorithms and data structures, computational complexity, parallel and distributed algorithms, quantum computing, continuous and discrete optimization, randomness in computing, approximation algorithms, combinatorics and algorithmic graph theory, cryptography, computational geometry, algebraic computation, computational applications of logic, and algorithmic coding theory. Typical topics also include computation and foundational aspects of areas such as machine learning, economics, fairness, privacy, networks, data management, and biology. Papers that broaden the reach of the theory of computing, or raise important problems that can benefit from theoretical investigation and analysis, are encouraged.

Overview

The ranking presented on this page offers an authoritative evaluation of scientific conferences within the field of Computer Science. It has been meticulously prepared by Research.com, a leading independent resource renowned for providing trusted data on scientific contributions across all major research domains since 2014.

Conference positions in this ranking are determined using a unique bibliometric score, exclusively developed by Research.com. This score reflects an advanced and data-driven methodology that incorporates the estimated h-index as well as the number of leading scientists who have contributed to each conference over the last three years.

The ranking features Impact Score values for each conference, with data comprehensively gathered as of 2024-11-27. The process behind compiling this ranking involved an extensive review of more than 2,742 conferences, each selected following a detailed and rigorous assessment of over 148,739 scientific documents published in the past three years by 13,184 highly respected experts in Computer Science.

This analytical depth and complexity underscore the reliability and accuracy of the resulting conference ranking, underlining Research.com’s commitment to supporting scholarly assessment with robust, data-driven metrics. For a comprehensive overview of the methodology used in computing these ranking scores, please refer to 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 the Theory of Computing (based on the number of publications) are:

  • Avi Wigderson (66 papers) absent at the last edition,
  • Moni Naor (36 papers) published 1 paper at the last edition,
  • Noam Nisan (35 papers) published 1 paper at the last edition,
  • Mihalis Yannakakis (34 papers) absent at the last edition,
  • Rafail Ostrovsky (33 papers) absent 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 the Theory of Computing (based on the number of publications) are:

  • Massachusetts Institute of Technology (421 papers) published 21 papers at the last edition, 7 more than at the previous edition,
  • IBM (267 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Princeton University (236 papers) published 11 papers at the last edition the same number as at the previous edition,
  • University of California, Berkeley (236 papers) published 7 papers at the last edition, 2 more than at the previous edition,
  • Microsoft (208 papers) published 4 papers at the last edition, 1 less than 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 47.59% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.66% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.48% of all publications and 16.27% 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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