| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 103 | 37 | 54 | 22 |
| Electronics and Electrical Engineering | 108 | 66 | 115 | 29 |
| Engineering and Technology | 494 | 23 | 34 | 17 |
The journal tackles a plethora of topics, such as Artificial intelligence, Robot, Control theory, Computer vision and Control engineering. Most of the Artificial intelligence studies addressed also intersect with Machine learning. Robot research presented in it encompasses a variety of subjects, including Task (project management), Simulation and Human–computer interaction.
Kinematics and Position (vector) are some topics wherein Control theory research discussed in it have an impact. The work tackled in The International Journal of Robotics Research goes beyond the discipline of Computer vision as it also encompasses Simultaneous localization and mapping. The International Journal of Robotics Research focuses on Control engineering but the discussions also offer insight into other areas such as Control system and Robot control.
It connects the study in Motion planning with the closely related area of Mathematical optimization.
The journal articles primarily tackle Artificial intelligence, Robot, Control theory, Control engineering and Computer vision. The Robot research tackled in the most cited publications is interrelated with Simulation which concerns subjects like Terrain. In addition to Control theory research, the journal articles aim to explore topics under Industrial robot and Kinematics.
The International Journal of Robotics Research investigates studies in Robot, Artificial intelligence, Soft robotics, Control theory and Human–computer interaction. Topics in Robot were tackled in line with various other fields like Stiffness, Task (project management), Control engineering, Continuum (topology) and Adaptive control. Control engineering research discussed connects with the study of Actuator.
Studies on Artificial intelligence discussed in the journal link to the field of Computer vision. The International Journal of Robotics Research centers on topics in Control theory, with a focus on Trajectory. The work on Human–computer interaction tackled in it brings together disciplines like Active learning (machine learning), Control (linguistics), Human–robot interaction and Learning from demonstration.
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 The International Journal of Robotics Research (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 The International Journal of Robotics Research (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, 2.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.80% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.68% of all publications and 36.62% 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.
Douglas Morrison;Peter Corke;Jürgen Leitner
(2020)Ross Hartley;Maani Ghaffari Jadidi;Jessy W. Grizzle;Ryan M. Eustice
(2020)Renaud Dubé;Andrei Cramariuc;Daniel Dugas;Hannes Sommer
(2020)Cosimo Della Santina;Robert K. Katzschmann;Antonio Bicchi;Antonio Bicchi;Daniela Rus
(2020)Jonathan D Gammell;Timothy D Barfoot;Siddhartha S Srinivasa
(2020)Chenghao Yang;Chenghao Yang;Shineng Geng;Ian D. Walker;David T. Branson
(2020)Matthew Pitropov;Danson Evan Garcia;Jason Rebello;Michael Smart
(2021)David Fridovich-Keil;Andrea Bajcsy;Jaime F. Fisac;Sylvia L. Herbert
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