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International Journal of Social Robotics
H-index 31

International Journal of Social Robotics

1875-4791

Published by: Springer

https://www.springer.com/journal/12369

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 186 92 131 28
Electronics and Electrical Engineering 250 26 46 15

Additional Metrics

Number of Best Scientists*: 153
Documents by Best Scientists*: 202
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 85
SCIMAGO SJR: 1.157
Impact Factor: 3.7

Overview

Top Research Topics at International Journal of Social Robotics?

The journal was organized to reinforce research efforts on Artificial intelligence, Robot, Robotics, Social robot and Human–computer interaction. Simulation, Task (project management) and Computer vision are some topics wherein Artificial intelligence research discussed in International Journal of Social Robotics have an impact. The Robot works, particularly on Human–robot interaction are tackled in International Journal of Social Robotics.

The research on Robotics tackled can also make contributions to studies in the areas of Motion (physics), Communication, Applied psychology, Mechatronics and Gesture. Some problems in Social robot that were presented in the journal overlapped with concepts under Developmental psychology, Robot learning, Personal robot and Set (psychology). Usability is a key component of Human–computer interaction research discussed in it.

  • Artificial intelligence (70.65%)
  • Robot (70.27%)
  • Robotics (64.04%)

What are the most cited papers published in the journal?

  • Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots (1138 citations)
  • Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model (476 citations)
  • Acceptance of Healthcare Robots for the Older Population: Review and Future Directions (473 citations)

Research areas of the most cited articles at International Journal of Social Robotics:

Robot, Artificial intelligence, Robotics, Human–robot interaction and Social robot are the main subjects of interest in the most cited articles. The journal publications explore issues in Robot which can be linked to other research areas like Social psychology, Perception and Autism. Issues in Artificial intelligence were discussed in the journal articles, taking into consideration concepts from other disciplines like Set (psychology), Human–computer interaction and Computer vision.

What topics the last edition of the journal is best known for?

  • Artificial intelligence
  • Law
  • Social psychology

The previous edition focused in particular on these issues:

The journal focuses on Robot, Artificial intelligence, Robotics, Social robot and Human–computer interaction. Human–robot interaction is a major topic of Robot research. The work on Human–robot interaction addressed in International Journal of Social Robotics expands to the thematically related Social psychology.

The studies in Motion (physics) under the umbrella field of Artificial intelligence overlap with concepts in Field (computer science). The subject of Mechatronics, which is connected to the field of Simulation, serves as the foundation of the Robotics research featured in the journal. Social robot research presented in International Journal of Social Robotics encompasses a variety of subjects, including Cognitive science, Social cue and Set (psychology).

The most cited articles from the last journal are:

  • Developing Kaspar: A Humanoid Robot for Children with Autism (22 citations)
  • Towards Ethical Guidelines of Using Telepresence Robots in Residential Care (18 citations)
  • It’s in the Eyes: The Engaging Role of Eye Contact in HRI (14 citations)

Papers citation over time

A key indicator for each journal 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 in International Journal of Social Robotics (based on the number of publications) are:

  • Hiroshi Ishiguro (28 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Takayuki Kanda (23 papers) absent at the last edition,
  • Norihiro Hagita (18 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Masahiro Shiomi (17 papers) published 2 papers at the last edition,
  • Raymond H. Cuijpers (10 papers) published 1 paper at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in International Journal of Social Robotics (based on the number of publications) are:

  • Osaka University (29 papers) published 3 papers at the last edition,
  • Eindhoven University of Technology (20 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Bielefeld University (17 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Technische Universität München (17 papers) published 1 paper at the last edition,
  • Istituto Italiano di Tecnologia (13 papers) published 4 papers at the last edition, 3 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

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, 3.70% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.74% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.13% of all publications and 60.99% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal 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 journal 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 in a journal. The index includes the authors publishing at the last edition of a journal, 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.

Impact of Social Robotics in Education

The role of social robotics in education, specifically in elementary school teaching, is becoming increasingly pertinent. School systems, particularly in areas like Mississippi, are beginning to incorporate technology in classrooms in diverse and immersive ways. Social robots can play a crucial role in this scenario as they can offer engaging learning experiences for young students. They are used to encourage creativity and critical thinking skills and provide personal attention that can adapt to individual learners’ needs. For those considering a career in elementary education in Mississippi, the importance of understanding and adapting to these technological advances can't be overstated. Knowing how to utilize social robotics in a classroom setting can significantly elevate the learning environment and outcomes how to become an elementary school teacher in Mississippi. Researchers at the International Journal of Social Robotics have begun to dive into these applications, considering both the advancements in the technology itself and studies on how these robots are received and interacted with by students. Increased focus on this sector could provide valuable insights for future innovation, curriculum development, and teaching strategies.

Top Publications

  • Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams

    Ewart J. de Visser;Marieke M. M. Peeters;Malte F. Jung;Spencer Kohn

    (2020)
    382 Citations
  • A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots

    Stanislava Naneva;Marina Sarda Gou;Thomas L. Webb;Tony J. Prescott

    (2020)
    332 Citations
  • Social robots on a global stage: establishing a role for culture during human-robot interaction

    Velvetina Lim;Maki Rooksby;Emily S. Cross;Emily S. Cross

    (2021)
    172 Citations
  • Developing Kaspar: A Humanoid Robot for Children with Autism

    Luke Jai Wood;Abolfazl Zaraki;Ben Robins;Kerstin Dautenhahn

    (2021)
    136 Citations
  • Child–robot relationship formation: A narrative review of empirical research

    Caroline L. van Straten;Jochen Peter;Rinaldo Kühne

    (2020)
    105 Citations
  • Potential Applications of Social Robots in Robot-Assisted Interventions for Social Anxiety

    (2022)
    98 Citations
  • Socially Assistive Robots as Mental Health Interventions for Children: A Scoping Review

    Katarzyna Kabacińska;Tony J. Prescott;Julie M. Robillard

    (2021)
    73 Citations

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Best Scientists Contributing to This Journal