ICRA 2022 : IEEE International Conference on Robotics and Automation (ICRA)

This ranking presents a comprehensive evaluation of scientific conferences within the field of Engineering and Technology. The ranking has been meticulously prepared by Research.com, a leading platform recognized for delivering trusted data on scientific contributions across all major fields, including Engineering and Technology, since 2014.

The position of each conference in the ranking is determined using a unique bibliometric score developed by Research.com. This score is computed by considering the estimated h-index and the number of leading scientists who have participated in each conference over the past three years. The ranking includes Impact Score values collected as of 2024-11-27, ensuring that the data reflects the most recent developments in the field.

To ensure the highest level of rigor and reliability, the ranking process involved the examination of more than 2,262 conferences. These were selected after an in-depth review and strict assessment of over 26,934 scientific documents published within the last three years by 9,385 recognized and influential scientists specializing in Engineering and Technology.

This extensive and methodologically robust analysis highlights the credibility and authority of the ranking, offering valuable insights for researchers, institutions, and professionals seeking to identify the most impactful venues in Engineering and Technology. For more detailed information about the methodology employed in computing the ranking scores, 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.

Top authors and change over time

The top authors publishing at International Conference on Robotics and Automation (based on the number of publications) are:

• Roland Siegwart (170 papers) published 21 papers at the last edition, 5 more than at the previous edition,
• Vijay Kumar (128 papers) published 9 papers at the last edition, 7 less than at the previous edition,
• Daniela Rus (127 papers) published 15 papers at the last edition, 1 more than at the previous edition,
• Wolfram Burgard (111 papers) published 2 papers at the last edition, 5 less than at the previous edition,
• Michael Milford (90 papers) published 8 papers 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Robotics and Automation (based on the number of publications) are:

• Massachusetts Institute of Technology (641 papers) published 76 papers at the last edition, 5 more than at the previous edition,
• Carnegie Mellon University (634 papers) published 91 papers at the last edition, 45 more than at the previous edition,
• Georgia Institute of Technology (341 papers) published 57 papers at the last edition, 13 more than at the previous edition,
• Technische Universität München (332 papers) published 58 papers at the last edition, 15 more than at the previous edition,
• ETH Zurich (331 papers) published 65 papers at the last edition, 34 more 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, 5.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.74% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.84% of all publications and 49.37% 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.