| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 285 | 40 | 106 | 13 |
| Mechanical and Aerospace Engineering | 316 | 17 | 45 | 7 |
| Computer Science | 522 | 36 | 72 | 11 |
| Engineering and Technology | 951 | 17 | 35 | 8 |
Advanced Robotics mainly deals with areas of study such as Robot, Artificial intelligence, Control theory, Simulation and Control engineering. The journal focuses on Robot research which is adjacent to topics in Human–computer interaction. In addition to Artificial intelligence research, Advanced Robotics aims to explore topics under Position (vector) and Computer vision.
The Control theory study tackled is a key component of adjacent topics in the area of Kinematics. Advanced Robotics connects the study in Simulation with the closely related area of Mechanism (engineering). Control engineering research featured in it incorporates concerns from various other topics such as Control system and Control (management).
In particular, the Mobile robot works presented emphasize discussions on Mobile robot navigation. Specifically, studies on Social robot are prevalent in the Robot control works discussed.
The most cited articles facilitate discussions on Robot, Artificial intelligence, Simulation, Control engineering and Control theory. The most cited articles address concerns in the field of Artificial intelligence by exploring it in line with topics in Computer vision which intersect with Tactile sensor subjects. While Control theory is the focus of the most cited articles, it also provides insights into the studies of Kinematics and Cartesian coordinate system.
The discussions in Advanced Robotics mainly cover the fields of Robot, Artificial intelligence, Human–computer interaction, Computer vision and Control theory. The journal facilitates discussions on Robot that incorporate concepts from other fields like Quality (business) and Development (topology). It facilitated presentations on Artificial intelligence research, particularly Robotics and Reinforcement learning.
Advanced Robotics holds forums on Human–computer interaction that merges themes from other disciplines such as Service (business), Task (project management) and Human–robot interaction. Research on Computer vision addressed in Advanced Robotics frequently intersections with the field of Perception. Control theory research presented in Advanced Robotics encompasses a variety of subjects, including Motion (geometry), Control (management), Model predictive control, Humanoid robot and Joint (geology).
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 Advanced Robotics (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 Advanced Robotics (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.21% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.21% of all publications and 27.59% 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.
Hang Su;Salih Ertug Ovur;Xuanyi Zhou;Wen Qi
(2020)Tomomichi Sugihara;Mitsuharu Morisawa
(2020)Kazuyuki Ito;Yoshihiro Homma;Jonathan M Rossiter
(2020)Keiji Nagatani;Masato Abe;Koichi Osuka;Pang jo Chun
(2021)Hikaru Nagano;Hideto Takenouchi;Nan Cao;Masashi Konyo
(2020)Dingyu Liu;Yusheng Wang;Yonghoon Ji;Hiroshi Tsuchiya
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