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Springer

SAS 2026 — 33rd Static Analysis Symposium (SAS)

Location: Oakland Marriott City Centre, Oakland, CA , United States

Submission deadline: 5/1/2026

Conference dates: 10/6/2026 - 10/8/2026

Research H-index
10

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 162 37 74 9
Computer Science 369 28 58 9

Call for Papers

SAS is the leading international symposium on static analysis of programs, run by the SAS steering committee and co-located with SPLASH. It invites original contributions on abstract interpretation, program verification, static analysis tools, type systems, analysis of machine learning code, security analysis, model checking. Submissions may take the form of full research papers, extended abstracts and poster presentations reporting theoretical, computational and experimental work, as well as industrial case studies and applications. The meeting brings together researchers, engineers, industry practitioners and students to exchange recent results and discuss emerging directions in the field. Accepted papers are published in a Springer proceedings volume.

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, offering researchers, academics, and professionals trustworthy guidance for selecting venues of the highest impact. The ranking has been meticulously prepared by Research.com, an authoritative platform recognized since 2014 for delivering reliable data on scientific contributions across all major disciplines, including Computer Science.

The positions in this ranking are determined by a distinctive bibliometric score developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in the conference within the preceding three years, ensuring both quantitative and qualitative assessment of scholarly activity.

Data underlying the Impact Scores was collected as of 2024-11-27, reflecting the most recent developments and trends in the discipline. The rigorous ranking process included an extensive review of more than 2,742 conferences, carefully chosen following a thorough inspection and comprehensive analysis of over 148,739 scientific documents published in the past three years by 13,184 acclaimed and respected Computer Science experts.

For further information on the calculation procedures and criteria underlying the ranking, detailed explanations 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 Static Analysis Symposium (based on the number of publications) are:

  • Ηλίας Κατσούλης (21 papers) absent at the last edition,
  • Bruno Ando (15 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Βασιλική Γεωργιάδου (14 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Salvatore Baglio (14 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Νίκος Δεμερτζής (10 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 Static Analysis Symposium (based on the number of publications) are:

  • Mercyhurst University (39 papers) published 6 papers at the last edition, 21 less than at the previous edition,
  • Microsoft (22 papers) published 2 papers at the last edition the same number as at the previous edition,
  • University of Zagreb (18 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Oxford (16 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Technische Universität München (16 papers) absent at the last 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 2017 edition, 11.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.07% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 56.25% 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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