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ICPR 2020 : International Conference on Pattern Recognition

ICPR 2020 : International Conference on Pattern Recognition

Milan , Italy

Submission Deadline: Wednesday 15 Jul 2020

Conference Dates: Jan 10, 2021 - Jan 10, 2021

Research
Impact Score 4.10

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 4.10
Contributing Best Scientists: 195
H5-index:
Papers published by Best Scientists 244
Research Ranking (Computer Science) 117

Conference 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

Top Research Topics at International Conference on Pattern Recognition?

  • Artificial intelligence (91.97%)
  • Pattern recognition (43.05%)
  • Computer vision (41.46%)

Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Image segmentation are the subjects of interest in International Conference on Pattern Recognition. The studies on Artificial intelligence discussed can also contribute to research in the domains of Algorithm and Machine learning. Some problems in Pattern recognition that were presented in the conference overlapped with concepts under Artificial neural network, Facial recognition system and Feature (computer vision).

Research in the field of Face (geometry) was used to conduct the presented Facial recognition system study. The event facilitated presentations on Computer vision research, particularly Pixel, Image processing, Image texture, Object detection and Image (mathematics). The Feature extraction works featured in International Conference on Pattern Recognition incorporate elements from Feature (machine learning), Speech recognition, Feature vector, Discriminative model and Convolutional neural network.

The study on Speech recognition featured in International Conference on Pattern Recognition expounds on the topic of Hidden Markov model in particular. Research on Image segmentation presented in the event focuses, in particular, on Scale-space segmentation and Segmentation-based object categorization.

What are the most cited papers published at the conference?

  • Data clustering: 50 years beyond K-means (5499 citations)
  • Recognizing human actions: a local SVM approach (2986 citations)
  • Direct least squares fitting of ellipses (2248 citations)

Research areas of the most cited articles at International Conference on Pattern Recognition:

The most cited publications tackle a plethora of topics, such as Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Image segmentation. The most cited articles connects research in Artificial intelligence with the related topics of Machine learning. The published papers address concerns in Pattern recognition which are intertwined with other disciplines, such as Histogram, Speech recognition and Feature (computer vision).

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.

Research.com

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.

Research.com

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.

Research.com

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.

Research.com

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.

Research.com

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.

Research.com

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).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Previous Editions

26th International Conference on Pattern Recognition

Aug 21, 2022 - Aug 25, 2022

Montréal Québec , Canada, Canada

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