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IEEE

THE 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)

Location: Kyoto , Japan

Submission deadline: 3/1/2022

Conference dates: 10/23/2022 - 10/27/2022

Research H-index
38

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 8 290 1056 35
Mechanical and Aerospace Engineering 3 119 437 28

Call for Papers

The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) is a premier flagship academic conference in robotics. For over 30-years, IROS has showcased leading-edge research. In hindsight, the work has been seminal, underpinning much of today’s global robotics industries, products, and services. IROS continues to be the place to learn future directions and the latest approaches, designs, outcomes, and networks with the world’s leading roboticists.

Overview

This comprehensive ranking presents an authoritative list of scientific conferences in the field of Computer Science, meticulously curated to reflect the most influential gatherings within the discipline. The ranking has been developed by Research.com, a leading platform in the provision of trusted data on scientific research across all major fields, including Computer Science, with a proven track record since 2014.

Conference positions in this ranking are determined using a unique bibliometric score created by Research.com. This score is calculated based on a sophisticated evaluation that considers the estimated h-index as well as the number of distinguished scientists who have participated in the conference over the last three years. Such a multifaceted approach ensures that both the scientific impact and the prestige of conference contributors are thoroughly incorporated into the ranking process.

The Impact Score values featured in this ranking were gathered as of 2024-11-27, offering the most current and accurate representation of conference influence. The rigorous ranking process involved the examination of more than 2,742 conferences, which were carefully selected after an in-depth review and analysis of over 148,739 scientific documents published by 13,184 renowned and highly respected scientists in Computer Science during the preceding three years. This exhaustive evaluation highlights both the depth of research and the methodological complexity that underpin the resulting rankings.

For a comprehensive explanation of the methodology used to compute the ranking scores, please visit 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 Intelligent Robots and Systems (based on the number of publications) are:

  • Masayuki Inaba (85 papers) absent at the last edition,
  • Roland Siegwart (81 papers) absent at the last edition,
  • Kei Okada (80 papers) absent at the last edition,
  • Wolfram Burgard (79 papers) absent at the last edition,
  • Darwin G. Caldwell (72 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 Intelligent Robots and Systems (based on the number of publications) are:

  • Carnegie Mellon University (353 papers) published 2 papers at the last edition, 50 less than at the previous edition,
  • Massachusetts Institute of Technology (272 papers) absent at the last edition,
  • University of Tokyo (220 papers) absent at the last edition,
  • Technische Universität München (205 papers) published 4 papers at the last edition, 10 less than at the previous edition,
  • Istituto Italiano di Tecnologia (188 papers) published 1 paper at the last edition, 17 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, 6.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 26.67% 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.

Related Online Degrees & Career Pathways

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