0263-5747
Published by: Cambridge University Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 203 | 43 | 91 | 13 |
| Electronics and Electrical Engineering | 262 | 63 | 84 | 14 |
| Engineering and Technology | 702 | 27 | 41 | 12 |
The journal was organized to reinforce research efforts on Control theory, Robot, Artificial intelligence, Control engineering and Robotics. The work on Control theory tackled in Robotica brings together disciplines like Kinematics and Position (vector). Robotica focuses on Kinematics but the discussions also offer insight into other areas such as Workspace and Mechanism (engineering).
Robot research discussed connects with the study of Simulation. Many of the studies tackled connect Artificial intelligence with a similar field of study like Computer vision. While it focused on Control engineering, it was also able to explore topics like Control system, Control (management) and Actuator.
The study on Mobile robot featured in the journal expounds on the topic of Mobile robot navigation in particular. Studies on Motion planning discussed in Robotica link to the field of Mathematical optimization.
The main points discussed in the published papers deal with Control theory, Robot, Artificial intelligence, Control engineering and Robotics. The journal publications explore topics in Control theory which can be helpful for research in disciplines like Kinematics and Position (vector). While the published articles focused on Robot, they were also able to explore topics like Stability (learning theory) and Simulation.
Control theory, Robot, Artificial intelligence, Computer vision and Control theory are among the topics commonly tackled in Robotica. The study on Control theory presented in the journal intersects with subjects under the field of Motion planning. It focuses on Motion planning research as part of the broader topic of Path (graph theory).
It explores issues in Robot which can be linked to other research areas like Control engineering, Algorithm, Kinematics and Nonlinear system. Robotics and Object (computer science) are all aspects of Artificial intelligence research featured in Robotica. The journal features studies on Computer vision, including topics such as Tracking (particle physics).
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 Robotica (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 Robotica (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, 63.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.76% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.32% of all publications and 78.05% 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.
Abdel-Nasser Sharkawy;Panagiotis N. Koustoumpardis;Nikos A. Aspragathos
(2020)Raouf Fareh;Mohammad Al-Shabi;Maamar Bettayeb;Jawhar Ghommam
(2020)Hang Li;Andrey V. Savkin;Branka Vucetic
(2020)Jiyu Cheng;Yuxiang Sun;Max Q.-H. Meng
(2020)Raouf Fareh;Mohammed Baziyad;Mohammad Habibur Rahman;Tamer Rabie
(2020)Taha Elmokadem;Andrey V. Savkin
(2021)Konstantinos I. Alevizos;Charalampos P. Bechlioulis;Kostas J. Kyriakopoulos
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