| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 448 | 11 | 34 | 2 |
| Electronics and Electrical Engineering | 529 | 26 | 63 | 2 |
The journal was organized to reinforce research efforts on Robot, Artificial intelligence, Control theory, Computer vision and Control engineering. The studies in Robot featured incorporate elements of Simulation and Human–computer interaction. Robotics, Object (computer science) and Motion (physics) are all aspects of Artificial intelligence discussed in the journal.
The Control theory study tackled is a key component of adjacent topics in the area of Position (vector). The study on Control engineering presented in Journal of the Robotics Society of Japan intersects with subjects under the field of Control (management). Mobile robot navigation is a focus of the presented Mobile robot works and it dives deep in Mobile robot navigation.
The Robot control works, particularly on Social robot are tackled in the journal.
The journal articles investigate studies in Robot, Artificial intelligence, Control theory, Mobile robot and Simulation. The most cited papers hold forums on Robot that merge themes from other disciplines such as Control engineering, Actuator and Human–computer interaction. While the published articles focused on Artificial intelligence, they were also able to explore topics like Task (project management) and Computer vision.
The aim of Journal of the Robotics Society of Japan is to expand the discussion of research in Artificial intelligence, Robot, Robotics, Human–computer interaction and Computer vision. It concentrates on Artificial intelligence topics that focus on Reinforcement learning and Inverse reinforcement learning. The journal facilitates discussions on Robot that incorporate concepts from other fields like Mechanical engineering and Mechanism (engineering).
The research on Robotics featured in it combines topics in other fields like Session (computer science) and Cognitive science. While Committee report is the focus of the conference, it also discussed overlapping research pursuits in other fields like Medical education and Multimedia.
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 Journal of the Robotics Society of Japan (based on the number of publications) are:
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 Journal of the Robotics Society of Japan (based on the number of publications) are:
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.
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, 13.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.86% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.97% of all publications and 21.01% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Yuji Suzuki;Minhyeok Lee;Hajime Asama;Keiji Nagatani
(2021)Kazunori Kikuchi;Keiji Nagatani;Tomohiro Komatsu;Seiga Kiribayashi
(2020)Kenzo Nonami
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