| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 283 | 19 | 28 | 9 |
| Electronics and Electrical Engineering | 359 | 26 | 32 | 8 |
International Journal of Advanced Robotic Systems explores disciplines such as Artificial intelligence, Robot, Simulation, Computer vision and Mobile robot. Artificial intelligence research featured in International Journal of Advanced Robotic Systems incorporates concerns from various other topics such as Machine learning and Pattern recognition. While it focused on Robot, it was also able to explore topics like Control (management) and Human–computer interaction.
International Journal of Advanced Robotic Systems addresses concerns in Simulation which are intertwined with other disciplines, such as Control system, Kinematics, Control theory and Trajectory. The study on Control theory presented is investigated in conjunction with research in Nonlinear system. Mobile robot navigation is a major topic of Mobile robot research.
The most cited articles generally zeroe in on subjects such as Robot, Simulation, Artificial intelligence, Mobile robot and Computer vision. The journal publications with studies in Robot featured incorporate elements of Trajectory and Human–computer interaction. Machine learning, Task (project management) and Pattern recognition are some topics wherein Artificial intelligence research discussed in the journal articles has an impact.
International Journal of Advanced Robotic Systems tackles a plethora of topics, such as Artificial intelligence, Robot, Computer vision, Motion planning and Real-time computing. The Artificial intelligence research presented places emphasis on topics like Deep learning, Object detection, Convolutional neural network, Robotics and Feature extraction. The Robot works featured in International Journal of Advanced Robotic Systems incorporate elements from Motion (physics), Human–computer interaction, Sliding mode control, Robustness (computer science) and Control (management).
The journal explores topics in Control (management) which can be helpful for research in disciplines like Simulation, GRASP and Underwater vehicle. Studies on Computer vision discussed in the journal link to the field of Simultaneous localization and mapping. The research on Motion planning tackled can also make contributions to studies in the areas of A* search algorithm and Obstacle avoidance, Mobile robot.
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 Advanced Robotic 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 International Journal of Advanced Robotic 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 2021 edition, 10.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.22% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.22% of all publications and 46.67% 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.
Xiali Li;Manjun Tian;Shihan Kong;Licheng Wu
(2020)Felix Sygulla;Daniel Rixen
(2020)Anton Antonov;Alexey Fomin;Victor Glazunov;Sergey Kiselev
(2021)Fran Real;Arturo Torres-González;Pablo Ramón-Soria;Jesús Capitán
(2020)Peiyu Guan;Zhiqiang Cao;Erkui Chen;Shuang Liang
(2020)Zhihui Zhao;Jing Wang;Yangquan Chen;Shuang Ju
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