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ACM

Augmented Humans (AHs) International Conference (AH)

Location: Glasgow , United Kingdom

Conference dates: 3/12/2023 - 3/14/2023

Research H-index
5

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 731 5 11 5

Call for Papers

TOPICS
• Applications in tourism, games, art

• Security, privacy and trust aspects of augmented human technology

• Augmentation of human health through digital technologies

• Augmentation technologies for aspects of live (e.g., sleep, eating)

• Augmented, virtual and mixed reality

• Augmented sport activities

• Bionic systems for amplification and augmentation of human abilities

• Brain-machine interfaces

• Co-robots for human augmentation

• Digital technologies for physical, cognitive, mental, and perceptional augmentation

• Exoskeletons and assistive devices for the amplification of human physical strength and physiological sensing

• Implanted technologies and interfaces

• Sensing for context-awareness

• Sensors and actuators for smart artifacts and smart textiles

• Supernumerary robotic limbs

• Technologies to improve human experience and to reduce stress

• Tele-manipulation and tele-existence using robotics technology

• Training and rehabilitation technology

• Wearable computing and ubiquitous computing for augmenting human capabilities

Overview

The scientific conference ranking presented on this page provides a comprehensive assessment of conferences within the dynamic and evolving field of Computer Science. Developed by Research.com, a leading platform recognized for offering trusted data and rigorous analysis of scientific contributions across all major disciplines since 2014, this ranking is designed to support researchers, academics, and professionals in identifying the most impactful conferences in the domain.

Each conference’s position in the ranking is determined using a unique bibliometric score, meticulously constructed by Research.com. This score integrates two key indicators: the estimated h-index of the conference and the number of leading scientists who have actively contributed to it over the preceding three years. This dual approach ensures that the ranking accurately reflects both the scientific influence and the prominence of participation at each conference.

The Impact Score values included in this ranking were collected as of 2024-11-27, ensuring the timeliness and relevance of the data. The ranking process entailed a thorough evaluation of more than 2,742 conferences. Selection was based on a detailed investigation and rigorous review of over 148,739 scientific documents published in the last three years, authored by 13,184 leading and widely respected scientists within Computer Science.

This methodologically robust process reflects the depth of research and the complexity of expert-driven analysis underlying these rankings. For a comprehensive understanding 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 Augmented Human International Conference (based on the number of publications) are:

  • Tsutomu Terada (23 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • Masahiko Tsukamoto (20 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Masahiko Inami (16 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Hiroyuki Kajimoto (12 papers) absent at the last edition,
  • Suranga Nanayakkara (11 papers) published 2 papers at the last edition, 2 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 Augmented Human International Conference (based on the number of publications) are:

  • University of Tokyo (36 papers) published 9 papers at the last edition, 4 more than at the previous edition,
  • Keio University (28 papers) absent at the last edition,
  • University of Electro-Communications (23 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Kobe University (22 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Singapore University of Technology and Design (13 papers) published 2 papers at the last edition, 3 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 2016 edition, 5.77% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.90% were posted by at least one author from the top 10 institutions publishing at the conference. Another 4.08% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.29% of all publications and 36.73% 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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