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IEEE

CRV 2026 — 23rd Conference on Robots and Vision (with Canadian AI 2026) (CRV)

Location: Vancouver, BC , Canada

Conference dates: 5/25/2026 - 5/28/2026

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 486 20 24 7

Call for Papers

CRV is the annual Canadian conference on robotics and computer vision organised by the Canadian Image Processing and Pattern Recognition Society (CIPPRS). It invites original contributions on computer vision, robotics, robot perception, image processing, 3D vision, autonomous systems, machine learning for vision. 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

The conference ranking showcased on this page provides a comprehensive assessment of scientific conferences in the field of Computer Science. This ranking has been meticulously prepared by Research.com, a leading source of trusted data and insights on scientific research contributions across all major academic disciplines, including Computer Science. Since 2014, Research.com has established itself as a reliable authority by delivering in-depth analyses of the scientific landscape.

The position of each conference in this ranking is determined using a unique bibliometric score developed by Research.com. This score integrates an estimated h-index as well as the number of prominent scientists who have presented at the conference within the last three years. By combining these quantitative and qualitative measures, the ranking aims to reflect both the scholarly influence and the engagement of the scientific community with each event.

The current ranking features Impact Score values systematically collected as of 2024-11-27. The rigorous process for developing this ranking entailed the review and analysis of over 2,742 conferences. These conferences were carefully selected after a thorough examination of more than 148,739 published scientific documents spanning the previous three years, authored by an impressive cohort of 13,184 leading and highly respected scientists within the discipline of Computer Science.

This methodology ensures that the ranking delivers an accurate, objective, and robust representation of the most impactful conferences in Computer Science, underpinned by comprehensive data and expert review. For a detailed explanation of the methodological framework and the calculation of 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.

The top authors publishing at Canadian Conference on Computer and Robot Vision (based on the number of publications) are:

  • David A. Clausi (19 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Gregory Dudek (16 papers) published 1 paper at the last edition the same number as at the previous edition,
  • John Zelek (14 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Timothy D. Barfoot (12 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Alexander Wong (12 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 Canadian Conference on Computer and Robot Vision (based on the number of publications) are:

  • University of Waterloo (38 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • McGill University (36 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • University of Alberta (18 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • University of Toronto (17 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • York University (14 papers) published 2 papers 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 2017 edition, 8.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.61% were posted by at least one author from the top 10 institutions publishing at the conference. Another 30.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.91% of all publications and 13.04% 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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