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The 15th International Conference on Machine Vision (ICMV)

Location: Rome , Italy

Submission deadline: 6/10/2022

Conference dates: 11/18/2022 - 11/20/2022

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 668 22 26 5

Call for Papers

Topics

Computer Vision (scene reconstruction, video tracking, 3D pose estimation, action recognition,…)

Active Vision (autonomous cameras, wearable and assistive computing, real-time 3D scene segmentation and reconstruction,…)

3D-Vision (stereovision, laser triangulation, multi-cameras,…)

Machine Learning (artificial intelligence, neural networks, big data & data mining......)

Deep Learning (fundamental techniques and tools for deep learning model, deep learning data, deep learning model architectures, deep learning based data augmentation, transfer learning, transformers, confidence, bias and uncertainty in deep learning frameworks, applications of deep learning to real problems)

Image Processing (analog, digital, electronic, optical, acoustical, hybrid)

Image Processing Methods (pre-processing, image analysis, feature extraction, segmentation, classification, pattern recognition, coding, understanding, modeling, color, texture, shape, geometry, topology, SIMD, MIMD......)

Computational Imaging (coherent diffractive imaging, coded-aperture imaging, super-resolution imaging,…)

Machine Vision Systems and Components (hardware & software, sensor fusion......)

Machine Vision (applications, industrial inspection, navigation, optical metrology, autonomous vehicles, remote sensing, astronomy and astronautics, bio-medical imaging, face and gesture recognition, data compression, security and coding, document processing......)

Image Forensics and Identification (digital image forensics, image forgery detection, document forgery detection, ID forgery, document features identification, document processing......)

Overview

This page presents a comprehensive ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com, a respected authority in science research and bibliometric analysis since 2014. Recognized as one of the leading sources for trusted scientific data across numerous disciplines, Research.com provides reliable insights into academic contributions and research impact.

The placement of each conference in this ranking relies on a distinct bibliometric score, innovatively developed by Research.com. This score integrates two crucial components: the estimated h-index and the number of leading scientists who have participated in the conference over the past three years. This approach ensures that the ranking accurately reflects both scholarly influence and expert engagement within each event.

The current ranking incorporates up-to-date Impact Score values, collected as of 2024-11-27. The underlying analysis involved a thorough review of more than 2,742 conferences, which were carefully selected following an exhaustive examination of over 148,739 scientific documents published in the preceding three years. Contributions from 13,184 distinguished and reputable scientists specializing in Computer Science were considered, highlighting the scale and rigor of the evaluation process.

For those interested in the precise methodology applied to derive these rankings—including detailed descriptions of the bibliometric score and data curation protocols—comprehensive 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.

The top authors publishing at International Conference on Machine Vision (based on the number of publications) are:

  • Dmitry P. Nikolaev (7 papers) published 7 papers at the last edition,
  • Vladimir V. Arlazarov (4 papers) published 4 papers at the last edition,
  • Anastasia Ingacheva (4 papers) published 4 papers at the last edition,
  • Yun Gao (3 papers) published 3 papers at the last edition,
  • Marina Chukalina (3 papers) published 3 papers 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 Machine Vision (based on the number of publications) are:

  • Moscow Institute of Physics and Technology (8 papers) published 8 papers at the last edition,
  • Xi'an Jiaotong University (4 papers) published 4 papers at the last edition,
  • Silesian University of Technology (3 papers) published 3 papers at the last edition,
  • National Research University – Higher School of Economics (3 papers) published 3 papers at the last edition,
  • University of Gabès (3 papers) published 3 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 2018 edition, 19.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.11% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.56% of all publications and 23.33% 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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