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IEEE

14th INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST)

Location: Chennai , India

Conference dates: 1/17/2022 - 1/19/2022

Research H-index
1

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 875 8 29 1

Call for Papers

IIT Madras, Chennai, India, together with Macquarie University, Sydney, Australia is pleased to announce that the 14th International Conference on Sensing Technology (ICST 2022) will be held during January 17 to 19, 2022 at IIT Madras, Chennai, India. ICST 2022 is intended to provide a common forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, developments and applications in the area of sensing technology.

Overview

This comprehensive ranking presents the leading scientific conferences in the field of Engineering and Technology, meticulously curated by Research.com, a distinguished authority in science research since 2014. Research.com is widely recognized for its commitment to providing trusted, data-driven insights into scientific contributions across all major disciplines, including Engineering and Technology.

The ranking is determined by a proprietary bibliometric score developed by Research.com. This unique metric incorporates the estimated h-index and Accounts for the presence of leading scientists who have contributed to each conference over the past three years. Such an approach ensures that both the quality and influence of conference participants are rigorously evaluated in establishing each event’s standing.

Impact Score values featured in this ranking were obtained on 2024-11-27. The evaluation process entailed the examination of more than 2,262 conferences, carefully selected following a thorough inspection of over 26,934 peer-reviewed scientific documents published in the last three years. These works represent the contributions of 9,385 leading and highly regarded researchers within the sphere of Engineering and Technology.

The depth of research, complexity of analytical techniques, and expert judgment involved in the development of this ranking collectively enhance its authority and relevance. For a detailed explanation of the methodology employed 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 Sensing Technology (based on the number of publications) are:

  • Subhas Chandra Mukhopadhyay (51 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Hiroshi Mizoguchi (22 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Alex Mason (22 papers) absent at the last edition,
  • Fusako Kusunoki (20 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Shigenori Inagaki (20 papers) published 2 papers at the last edition, 3 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 Sensing Technology (based on the number of publications) are:

  • Massey University (60 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Macquarie University (32 papers) absent at the last edition,
  • Centre for Development of Advanced Computing (26 papers) absent at the last edition,
  • Tokyo University of Science (25 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Southeast University (24 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.78% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.22% of all publications and 50.00% 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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