Impact Score* 4.5
The journal generally zeroes in on subjects such as Robot, Control theory, Artificial intelligence, Mobile robot and Computer vision. It facilitates discussions on Robot that incorporate concepts from other fields like Control engineering and Simulation. Many of the studies tackled connect Control engineering with a similar field of study like Control system.
IEEE Transactions on Robotics explores topics in Control theory which can be helpful for research in disciplines like Kinematics and Motion control. IEEE Transactions on Robotics facilitated presentations on Kinematics research, particularly Parallel manipulator and Inverse kinematics. The journal concentrates on Artificial intelligence topics that focus on Robotics, Visual servoing, Simultaneous localization and mapping, Humanoid robot and Robustness (computer science).
The research on Mobile robot featured in the journal combines topics in other fields like Algorithm and Distributed computing. The journal focuses on Computer vision as well as the interrelated topic of Tactile sensor. It explores research in Motion planning and the adjacent study of Mathematical optimization.
The most cited publications are organized to address concerns in the fields of Artificial intelligence, Robot, Control theory, Robotics and Control engineering. The journal papers feature Artificial intelligence research that overlaps with concepts in Computer vision. The most cited publications explore issues in Control theory which can be linked to other research areas like Kinematics, Robot kinematics and Motion control.
Robot, Artificial intelligence, Control theory, Computer vision and Trajectory are among the topics commonly tackled in IEEE Transactions on Robotics. The majority of Robot studies are focused on the issues of Robot kinematics. Topics in Robot kinematics explored in it were investigated in conjunction with research in Control system and Task analysis.
The study on Artificial intelligence presented is investigated in conjunction with research in GRASP. Control theory, Actuator, Torque, Parallel manipulator and Robustness (computer science) are among the concentrations of Control theory that garnered much attention in the journal. Computer vision study tackled is connected to the field of Tactile sensor.
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 IEEE Transactions on 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 IEEE Transactions on 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, 16.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.47% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.95% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.94% of all publications and 47.64% 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.
*The metrics for this journal are compiled based on the data for scientists listed under Mechanical and Aerospace Engineering