IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

This Computer Science Conference Ranking presents a comprehensive list of scientific conferences in the field of Computer Science, meticulously curated to assist the academic community, industry professionals, and research institutions in identifying leading venues for scholarly contributions. The ranking has been developed by Research.com, a prominent platform renowned for providing trusted and in-depth data on scientific research and contributions across all major disciplines since 2014.

Each conference’s position in this ranking is determined using Research.com’s proprietary bibliometric score, a carefully designed metric that synthesizes the estimated h-index with the number of leading scientists who have contributed to the conference during the past three years. This multifaceted approach ensures objective evaluation reflecting both scientific impact and the prestige of contributors.

The Impact Score values incorporated into this ranking were collected on 2024-11-27, ensuring that the data reflects the most recent and relevant scientific developments and participation trends. The rigorous ranking process involved the examination of over 2,742 conferences, all of which were selected following an extensive vetting process. This procedure included the analysis of more than 148,739 peer-reviewed scientific documents published over the last three years by 13,184 leading and well-respected Computer Science scholars.

The methodology guiding this ranking is the result of expert-driven and analytically robust procedures designed to maintain the highest standards of credibility and transparency. For those seeking a deeper understanding of the processes and metrics used, detailed information is 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.

Top authors and change over time

The top authors publishing at Computer Vision and Pattern Recognition (based on the number of publications) are:

• Luc Van Gool (130 papers) published 16 papers at the last edition, 6 more than at the previous edition,
• Thomas S. Huang (107 papers) published 1 paper at the last edition, 4 less than at the previous edition,
• Ming-Hsuan Yang (101 papers) published 4 papers at the last edition, 5 less than at the previous edition,
• Marc Pollefeys (98 papers) published 9 papers at the last edition, 2 more than at the previous edition,
• Larry S. Davis (95 papers) published 8 papers at the last edition, 2 more 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 Computer Vision and Pattern Recognition (based on the number of publications) are:

• Microsoft (756 papers) published 60 papers at the last edition, 6 less than at the previous edition,
• Carnegie Mellon University (671 papers) published 49 papers at the last edition, 2 less than at the previous edition,
• Chinese Academy of Sciences (534 papers) published 128 papers at the last edition, 34 more than at the previous edition,
• Massachusetts Institute of Technology (466 papers) published 36 papers at the last edition, 3 more than at the previous edition,
• Tsinghua University (445 papers) published 112 papers at the last edition, 41 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, 3.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.47% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.38% of all publications and 39.02% 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.