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16th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2024) (IHMSC)

Location: Hangzhou , China

Conference dates: 8/24/2024 - 8/25/2024

Research H-index
3

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 867 12 22 3

Call for Papers

As a continuation of IHMSC 2009 to IHMSC 2023, which were held successfully in Hangzhou, Nanjing, and Nanchang etc., the 16th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2024) will take place at Zhejiang University in Hangzhou, China, between 24-25 August, 2024 The aim of this conference is to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of Human-Machine Systems and Cybernetics.

Overview

The Computer Science Conference Ranking presented on this page offers a comprehensive and authoritative list of scientific conferences in the field of Computer Science. This ranking has been meticulously prepared by Research.com, a recognized leader in the provision of trusted data on scientific contributions across all major fields, including Computer Science. Since 2014, Research.com has been a reliable resource for researchers and professionals seeking high-quality and rigorously curated scientific information.

The position of each conference in this ranking is determined using a unique bibliometric score developed by Research.com. This score is computed based on a combination of the estimated h-index and the number of leading scientists who have participated in the conference over the past three years. This approach ensures a balanced reflection of both the impact and influence of each conference within the scientific community.

The Impact Score values used in the ranking were gathered as of November 27, 2024. The ranking process entailed the thorough examination of more than 2,742 conferences, each selected following a detailed and rigorous assessment of over 148,739 scientific documents published during the previous three years. These documents were authored by 13,184 leading and highly respected scientists in the field of Computer Science, ensuring that only the most influential and credible contributions were considered.

Further insights about the methodology employed in computing the ranking scores are available on our Methodology Page. This resource details the sophisticated and expert-driven procedures that underlie the ranking, highlighting the commitment to accuracy, transparency, and academic rigor.

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 Intelligent Human-Machine Systems and Cybernetics (based on the number of publications) are:

  • Li-Minn Ang (12 papers) absent at the last edition,
  • Kah Phooi Seng (12 papers) absent at the last edition,
  • Dongwei Guo (11 papers) absent at the last edition,
  • Qijie Zhao (10 papers) absent at the last edition,
  • Feihong Yu (9 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 Intelligent Human-Machine Systems and Cybernetics (based on the number of publications) are:

  • Beijing Institute of Technology (73 papers) absent at the last edition,
  • National University of Defense Technology (62 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Shanghai University (50 papers) published 2 papers at the last edition, 7 less than at the previous edition,
  • Beihang University (50 papers) absent at the last edition,
  • Naval University of Engineering (41 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 2021 edition, 13.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.64% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.36% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 36.36% of all publications and 38.64% 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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