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IEEE

ICPR 2020 : International Conference on Pattern Recognition (ICPR)

Location: Milan , Italy

Submission deadline: 7/15/2020

Conference dates: 1/10/2021 - 1/10/2021

Research H-index
37

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 44 603 927 37

Call for Papers

The 25th International Conference on Pattern Recognition (ICPR 2020), sponsored by the International Association for Pattern Recognition (IAPR), will take place at the MiCo Milano Congress Center, ITALY 13 -18 September 2020

Overview

This comprehensive ranking showcases scientific conferences in the field of Computer Science, meticulously curated to guide researchers and professionals toward the most impactful venues for scholarly exchange. Prepared by Research.com, one of the leading websites dedicated to science research across all major disciplines, the ranking builds on a reputation for providing trusted, data-driven insights on scientific contributions since 2014.

The position of each conference in this ranking is determined using a unique bibliometric score developed by Research.com. This score is calculated through a sophisticated process that combines the estimated h-index of each conference with the number of leading scientists who have contributed to the conference over the most recent three years. This ensures that the ranking not only reflects academic impact but also the active participation of prominent experts in the field.

For the preparation of this ranking, Impact Score values were gathered as of 2024-11-27. The selection and evaluation process involved a detailed analysis of more than 2,742 conferences. These conferences were chosen following rigorous examination of over 148,739 scientific documents published in the last three years by 13,184 leading and highly respected scientists in Computer Science. This depth of research underscores the thoroughness and credibility of the ranking, emphasizing the extent of expert oversight and analytical complexity applied throughout its development.

To provide full transparency regarding the methodology applied to compute the ranking scores, comprehensive details are available on our Methodology Page, allowing users to explore the precise criteria and analytical frameworks involved in this process.

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 International Conference on Pattern Recognition (based on the number of publications) are:

  • Edwin R. Hancock (59 papers) absent at the last edition,
  • Qiang Ji (43 papers) absent at the last edition,
  • Tieniu Tan (40 papers) absent at the last edition,
  • Ching Y. Suen (33 papers) published 16 papers at the last edition, 15 more than at the previous edition,
  • Yunhong Wang (29 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 International Conference on Pattern Recognition (based on the number of publications) are:

  • Chinese Academy of Sciences (272 papers) published 1 paper at the last edition, 75 less than at the previous edition,
  • IBM (97 papers) absent at the last edition,
  • Tsinghua University (68 papers) absent at the last edition,
  • Peking University (65 papers) published 1 paper at the last edition, 8 less than at the previous edition,
  • National University of Singapore (65 papers) absent 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 2020 edition, 7.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 1.90% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.10% of all publications and 66.67% 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.

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