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IEEE

The 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)

Location: Guiyang , China

Submission deadline: 3/15/2022

Conference dates: 7/17/2022 - 7/22/2022

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 258 29 76 7
Computer Science 648 38 61 5

Call for Papers

The 2022 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2022) will take place from July 17 to 22, 2022 in Guiyang, China. The objective of this conference is to provide a forum for researchers in robotics and real-time computing to share the latest results and explore the opportunity of research collaboration. With wide applications of robots in industry and services sectors, real-time computing plays one of the major roles in various topics in robotics including real-time control, human-robot interactions, sensor perception and fusion, robot intelligence, etc. The scope of RCAR 2022 covers research, development and applications in the dynamic and exciting areas of real-time computing and robotics. Guiyang is the capital of Guizhou province of China. It is located in the center of the province, situated on the east of the Yunnan–Guizhou Plateau. Guiyang is surrounded by mountains and forest, the city is home to a large Miao and Bouyei ethnic minority population. RCAR 2022 promises to be a great event for all participants, with excellent technical and social programs.

Overview

This ranking presents a comprehensive evaluation of scientific conferences within the field of Engineering and Technology. Developed by Research.com, one of the foremost platforms for authoritative science research data since 2014, the listing aims to highlight conferences of exceptional impact and relevance, grounded in trusted analysis of scientific contributions.

The ranking methodology is founded on a proprietary bibliometric score exclusively developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in the conference over the past three years. By integrating these critical indicators, the ranking offers an accurate measure of both scientific influence and the caliber of expert involvement.

Impact Score values published in this ranking were collected as of 2024-11-27. The ranking process was distinguished by an extensive and rigorous examination, involving the review of more than 2,262 conferences meticulously chosen after the detailed inspection of over 26,934 scientific documents published within the preceding three years. These documents were contributed by 9,385 of the most respected and prominent scientists in Engineering and Technology, ensuring a thorough and expert-driven approach.

For additional details regarding the criteria, data sources, and calculation processes underpinning these rankings, please consult 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 IEEE International Conference on Real-time Computing and Robotics (based on the number of publications) are:

  • Xinyu Wu (31 papers) published 17 papers at the last edition, 11 more than at the previous edition,
  • Yun-Hui Liu (17 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Guanglin Li (16 papers) published 11 papers at the last edition,
  • Rong Xiong (15 papers) published 8 papers at the last edition, 6 more than at the previous edition,
  • Jun Cheng (15 papers) published 5 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 IEEE International Conference on Real-time Computing and Robotics (based on the number of publications) are:

  • Chinese Academy of Sciences (162 papers) published 83 papers at the last edition, 67 more than at the previous edition,
  • Harbin Institute of Technology (78 papers) published 23 papers at the last edition, 14 more than at the previous edition,
  • The Chinese University of Hong Kong (59 papers) published 13 papers at the last edition, 8 more than at the previous edition,
  • Shanghai Jiao Tong University (57 papers) published 12 papers at the last edition, 4 more than at the previous edition,
  • Beijing Institute of Technology (33 papers) published 5 papers at the last edition, 1 less than 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 2021 edition, 4.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 62.03% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.08% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.50% of all publications and 11.39% 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.

Related Online Degrees & Career Pathways

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