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ACM

SIGCSE TS 2027 — 58th ACM Technical Symposium on Computer Science Education (SIGCSE)

Location: SAFE Credit Union Convention Center, Sacramento, CA , United States

Conference dates: 2/17/2027 - 2/20/2027

Research H-index
23

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 100 130 301 23
Social Sciences and Humanities 4 17 31 8

Call for Papers

The ACM SIGCSE Technical Symposium is the largest computing-education conference, bringing together educators, researchers and practitioners who teach computing at every level from K-12 to graduate school. It invites papers in three tracks — computing education research, experience reports and tools, and position and curricula initiatives — on topics such as introductory programming, assessment and feedback, broadening participation and equity, AI and large language models in the classroom, curriculum design, software engineering and data science education, and teacher professional development. Panels, special sessions, workshops, posters and demos complement the paper programme, and accepted papers are published in the ACM Digital Library.

Overview

The conference ranking presented on this page highlights leading scientific conferences in the field of Computer Science. This comprehensive ranking has been meticulously developed by Research.com, a premier platform recognized for delivering reliable data on scientific research and contributions since 2014. As a trusted source across all major disciplines, including Computer Science, Research.com leverages its extensive expertise to offer an authoritative perspective on conference impact.

Conference positions within the ranking are determined using a unique bibliometric score created exclusively by Research.com. This score incorporates both the estimated h-index and the number of distinguished scientists who have participated in each conference over the most recent three-year period, thus providing a robust measure of scientific influence and prestige.

The ranking utilizes Impact Score values collected as of 2024-11-27. The development of this ranking involved the systematic review of over 2,742 conferences, selected through detailed scrutiny. Our rigorous examination encompassed more than 148,739 scientific documents published in the last three years by a respected group of 13,184 prominent scientists within Computer Science. This careful vetting process ensures the reliability and comprehensiveness of the ranking results.

For those interested in a deeper understanding of the analytical framework and criteria underpinning the ranking scores, complete details are available on 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 Technical Symposium on Computer Science Education (based on the number of publications) are:

  • Daniel D. Garcia (63 papers) published 9 papers at the last edition the same number as at the previous edition,
  • Tiffany Barnes (54 papers) published 6 papers at the last edition the same number as at the previous edition,
  • Stephen H. Edwards (44 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Colleen M. Lewis (40 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Elizabeth K. Hawthorne (40 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 Technical Symposium on Computer Science Education (based on the number of publications) are:

  • North Carolina State University (144 papers) published 18 papers at the last edition, 8 less than at the previous edition,
  • University of Washington (141 papers) published 11 papers at the last edition, 9 less than at the previous edition,
  • Virginia Tech (131 papers) published 7 papers at the last edition, 5 less than at the previous edition,
  • University of California, Berkeley (106 papers) published 13 papers at the last edition, 8 less than at the previous edition,
  • Carnegie Mellon University (102 papers) published 2 papers at the last edition, 7 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, 3.91% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.39% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.72% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.74% of all publications and 51.15% 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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