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Society for Industrial and Applied Mathematics

ALENEX 2022 : Meeting on Algorithm Engineering and Experiments (ALENEX)

Location: Alexandria, VA , United States

Submission deadline: 8/11/2021

Conference dates: 1/9/2022 - 1/9/2022

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 722 9 7 5

Call for Papers

The aim of ALENEX is to provide a forum for the presentation of original research in the design, implementation, and experimental evaluation of algorithms and data structures. Typical submissions will include an extensive experimental analysis of nontrivial algorithmic results, ideally bridging the gap between theory and practice. We also invite submissions that address methodological issues and standards in the experimental evaluation of algorithms and data structures.

Relevant areas of applied algorithmic research include but are not limited to databases; geometry; graphs and networks, including web applications; operations research; combinatorial aspects of scientific computing; and computational problems in the natural sciences or engineering.

Also encouraged are submissions that address algorithms and data structures for advanced models of computing, including memory hierarchies and parallel computing, ranging from instruction parallelism over multicore computing to high-performance and cloud computing.

ALENEX is co-located with the meetings listed below. Since researchers in all fields are approaching the problem of learning detailed information about the performance of particular algorithms, we expect that interesting synergies will develop.

Proceedings will be published openly and electronically in January 2022 as SIAM ePubs. ALENEX is supported by SIAM.

Overview

This comprehensive ranking showcases leading scientific conferences in the field of Computer Science, meticulously curated by Research.com—recognized since 2014 as one of the most trusted platforms for providing in-depth, validated data across all major scientific disciplines, including Computer Science. The ranking is underpinned by a unique bibliometric score rigorously developed by Research.com, which synthesizes the estimated h-index and the number of leading scientists participating at each conference during the most recent three-year period.

The Impact Score values presented in this ranking were compiled on 2024-11-27, reflecting the most current and relevant data available. The evaluation process commenced with an extensive review of over 2,742 conferences, each selected through a detailed and methodical assessment. This thorough examination entailed the analysis of more than 148,739 scientific documents published within the last three years by a distinguished group of 13,184 leading scientists in Computer Science.

This methodology ensures that the ranking delivers a robust, data-driven perspective on conference impact and scientific contribution within the discipline. For a comprehensive explanation of our scoring procedures and the underlying metrics employed in this ranking, 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 Algorithm Engineering and Experimentation (based on the number of publications) are:

  • Peter Sanders (10 papers) absent at the last edition,
  • Christian Schulz (9 papers) published 5 papers at the last edition,
  • Sabine Storandt (8 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Dorothea Wagner (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Henning Meyerhenke (6 papers) published 1 paper at the last edition, 1 less than at the previous 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 Algorithm Engineering and Experimentation (based on the number of publications) are:

  • Karlsruhe Institute of Technology (36 papers) published 6 papers at the last edition, 3 less than at the previous edition,
  • University of Stuttgart (7 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Max Planck Society (6 papers) absent at the last edition,
  • University of Vienna (6 papers) published 5 papers at the last edition,
  • Technical University of Dortmund (5 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 2019 edition, 5.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 75.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.75% of all publications and 6.25% 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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Best Scientists who published in this Conference