| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 155 | 46 | 57 | 17 |
| Electronics and Electrical Engineering | 177 | 83 | 103 | 20 |
| Computer Science | 205 | 111 | 140 | 26 |
| Engineering and Technology | 486 | 33 | 42 | 17 |
The topics of Artificial intelligence, Robot, Computer vision, Simulation and Mobile robot are the focal point of discussions in the journal. Artificial intelligence research presented in the journal encompasses a variety of subjects, including Machine learning and Task (project management). Robotics and Autonomous Systems explores topics in Robot which can be helpful for research in disciplines like Control theory, Trajectory and Human–computer interaction.
Computer vision research featured in Robotics and Autonomous Systems incorporates concerns from various other topics such as Robustness (computer science) and GRASP. Control system, Kinematics, Actuator, Position (vector) and Manipulator are some topics wherein Simulation research discussed in the journal have an impact. Robotics and Autonomous Systems focuses on Mobile robot as well as the interrelated topic of Motion planning.
The journal articles mainly tackle studies in Artificial intelligence, Robot, Mobile robot, Simulation and Robotics. In addition to Artificial intelligence research, the most cited papers aim to explore topics under Machine learning, Human–computer interaction, Task (project management) and Computer vision. While Simulation is the key highlight in the journal publications, thet also covered some subjects on Control theory and Fuzzy logic.
The journal is organized to address concerns in the fields of Trajectory, Robot, Linear-quadratic regulator, Control theory and Tracking error. Robotics and Autonomous Systems focuses on Trajectory but the discussions also offer insight into other areas such as Mobile manipulator, Overshoot (signal), Cuckoo search, Metaheuristic and Backstepping. While Robot is the focus of the journal, it also provided insights into the studies of Natural rubber, Rotational speed, Tree (data structure), Energy (signal processing) and Ranging.
The journal explores issues in Linear-quadratic regulator which can be linked to other research areas like Unmanned ground vehicle, Model predictive control and Extended Kalman filter.
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 Robotics and Autonomous Systems (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 Robotics and Autonomous Systems (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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 75.00% 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.
Zhongkui Wang;Keung Or;Shinichi Hirai
(2020)Sina Sharif Mansouri;Christoforos Kanellakis;Dariusz Kominiak;George Nikolakopoulos
(2020)Daehyung Park;Yuuna Hoshi;Harshal P. Mahajan;Hokeun Kim
(2020)Ronja Möller;Antonino Furnari;Sebastiano Battiato;Aki Härmä
(2021)Yueyue Liu;Zhijun Li;Huaping Liu;Zhen Kan
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