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IEEE

IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2023) (ARSO)

Location: Berlin , Germany

Conference dates: 6/5/2023 - 6/7/2023

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 629 14 15 3
Mechanical and Aerospace Engineering 80 7 7 3
Computer Science 710 11 16 5

Call for Papers

The topic of ARSO 2023 includes, but is not limited to the following:

Human-robot interaction in physical & psychological aspects
Safety standards for advanced robots & autonomous systems
Legal and ethical issues for advanced robots
Impact of robotics on society, e.g. robot business, marketing & economic impact
Robotics for sustainability, climate change or civil aid
Advanced industrial robots for future manufacturing
Healthcare & medical applications
Rehabilitation and transfer robotics
Service & assistance applications
Entertainment & education robotics
Robotics & autonomous driving
Bio-inspired robotics
Soft and wearable robotics

Overview

The ranking presented on this page offers a comprehensive assessment of scientific conferences in the field of Computer Science, meticulously compiled to assist researchers, academics, and professionals in identifying the most influential venues for scholarly exchange. The ranking is the result of an in-depth analysis conducted by Research.com, a leading platform known for providing reliable and trusted data on scientific contributions across all major fields—Computer Science among them—since 2014.

Each conference's position within the ranking is determined by a unique bibliometric score developed by Research.com. This score is calculated based on advanced metrics, specifically an estimated h-index and the number of leading scientists who have contributed to or appeared at each conference during the preceding three years. This multifaceted approach ensures a nuanced and objective evaluation reflecting both the quality and influence of each conference.

The Impact Score values presented are based on data collected as of 2024-11-27, providing a timely representation of the current scientific landscape. The process of constructing this ranking involved exhaustive scrutiny of more than 2,742 conferences, which were selected after a rigorous examination of over 148,739 scientific publications produced in the last three years by 13,184 distinguished scientists in Computer Science.

We invite interested readers to explore the detailed methodology underpinning the computation of ranking scores. Full information on the processes and criteria applied can be found 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 Advanced Robotics and its Social Impacts (based on the number of publications) are:

  • Kei Okada (5 papers) absent at the last edition,
  • Masayuki Inaba (5 papers) absent at the last edition,
  • Han-Pang Huang (4 papers) absent at the last edition,
  • Francesco Mondada (4 papers) absent at the last edition,
  • Kai-Tai Song (4 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 Advanced Robotics and its Social Impacts (based on the number of publications) are:

  • National Taiwan University (11 papers) absent at the last edition,
  • University of Tokyo (10 papers) absent at the last edition,
  • National Chiao Tung University (7 papers) absent at the last edition,
  • Shibaura Institute of Technology (6 papers) absent at the last edition,
  • Waseda University (6 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 2017 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 22.73% were posted by at least one author from the top 10 institutions publishing at the conference. Another 4.55% 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 36.36% 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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