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IEEE

SCAM 2026 — 26th IEEE International Conference on Source Code Analysis and Manipulation (co-located with ICSME 2026) (SCAM)

Location: Benevento , Italy

Submission deadline: 6/11/2026

Conference dates: 9/14/2026 - 9/15/2026

Research H-index
9

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 346 53 56 9

Call for Papers

SCAM is the annual IEEE conference on the theory and practice of source code analysis and manipulation, co-located with ICSME. It invites original contributions on static analysis, dynamic analysis, program transformation, refactoring, software security analysis, mining software repositories, code generation with LLMs. 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 the conference proceedings and submitted to IEEE Xplore.

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading platforms for science research recognized for providing trusted and authoritative data on scientific contributions across all major academic disciplines since 2014. The ranking is determined through an innovative and robust bibliometric scoring system developed by Research.com, which integrates the estimated h-index and the number of prominent scientists who have participated in each conference over the preceding three years, offering a multifaceted assessment of conference impact and prestige.

Impact Score values included in this ranking were collected as of 2024-11-27, ensuring a current and relevant perspective on the most influential events in Computer Science. The extensive process of ranking the conferences relied upon a thorough examination of more than 2,742 conferences, each selected following a rigorous inspection and critical review of over 148,739 scientific documents published in the last three years. This analysis encompassed contributions from 13,184 leading and highly respected scholars in the field, reflecting the significant breadth and depth of research underpinning the ranking.

For those interested in understanding the detailed methodology employed in the computation of these ranking scores, a comprehensive description is available on our Methodology Page, which outlines the criteria, metrics, and data analysis strategies applied by our team of experts.

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 Source Code Analysis and Manipulation (based on the number of publications) are:

  • Chanchal K. Roy (12 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Tibor Gyimóthy (8 papers) published 1 paper at the last edition,
  • Bram Adams (8 papers) absent at the last edition,
  • Coen De Roover (7 papers) published 1 paper at the last edition,
  • Rudolf Ferenc (6 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 Source Code Analysis and Manipulation (based on the number of publications) are:

  • University of Szeged (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Saskatchewan (12 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Queen's University (9 papers) absent at the last edition,
  • Loyola University Maryland (6 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University College London (5 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 2018 edition, 7.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.00% of all publications and 36.00% 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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