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International Conference on Pattern Recognition Applications and Methods (ICPRAM)

Location: Lisbon , Portugal

Submission deadline: 10/10/2022

Conference dates: 2/16/2023 - 2/18/2023

Research H-index
8

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 424 60 94 8

Call for Papers

AREA 1: THEORY AND METHODS

Advanced Learning Methods
Linear Models and Dimensionality Reduction
Machine Learning Methods
Model Representation and Selection
Shape Representation
Signal Processing
Bayesian Models and Stochastic Methods
Classification and Clustering
Deep Learning and Neural Networks
Ensemble Methods
Feature Selection and Extraction
Knowledge Acquisition and Representation
AREA 2: APPLICATIONS

Audio and Speech Analysis
Motion Tracking and Action Recognition
Natural Language Processing
Robotics
Sensors and Early Vision
Virtual Environments
Bioinformatics and Systems Biology
Biometrics
Data Mining and Algorithms for Big Data
Document Analysis
Image and Video Analysis and Understanding
Industry Related Applications
Information Retrieval
Medical Imaging

Overview

This page presents an authoritative ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has provided trusted, data-driven insights into scientific contributions, reinforcing its commitment to accuracy and reliability within the scientific community.

The ranking featured here is the result of a rigorous and comprehensive analysis, based on a proprietary bibliometric score uniquely developed by Research.com. This score is derived from a combination of the estimated h-index and the number of leading scientists who have participated in each conference during the past three years. The ranking incorporates the most current Impact Score values, gathered as of 2024-11-27.

The process underlying this ranking involved the thorough examination of more than 2,742 conferences. These conferences were carefully selected through detailed inspection and rigorous evaluation of over 148,739 scientific documents published in the last three years by 13,184 of the most esteemed scientists in the Computer Science domain.

This methodology exemplifies the depth of expert analysis and the robust evaluation processes conducted by Research.com to ensure the highest standards of academic rigor and credibility in ranking Computer Science conferences. For a comprehensive overview of the methodology used in computing the ranking scores, please visit 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 International Conference on Pattern Recognition Applications and Methods (based on the number of publications) are:

  • Mário A. T. Figueiredo (10 papers) absent at the last edition,
  • Ana L. N. Fred (9 papers) absent at the last edition,
  • Yuji Iwahori (8 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Kunio Kasugai (8 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Manas Kamal Bhuyan (8 papers) published 1 paper at the last edition, 2 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Pattern Recognition Applications and Methods (based on the number of publications) are:

  • Instituto Superior Técnico (17 papers) absent at the last edition,
  • Sapienza University of Rome (14 papers) absent at the last edition,
  • Chubu University (13 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Otto-von-Guericke University Magdeburg (13 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Centre national de la recherche scientifique (10 papers) published 1 paper at the last edition the same number as 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 2019 edition, 12.61% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.42% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.54% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% of all publications and 61.54% 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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