| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 201 | 75 | 115 | 18 |
| Mechanical and Aerospace Engineering | 208 | 33 | 65 | 13 |
| Computer Science | 379 | 94 | 109 | 15 |
| Engineering and Technology | 764 | 25 | 45 | 11 |
IEEE Robotics & Automation Magazine facilitates discussions on Artificial intelligence, Robot, Robotics, Mobile robot and Control engineering. The Artificial intelligence works featured in the journal incorporate elements from Automation, Engineering management, Engineering ethics and Computer vision. The studies on Robot discussed can also contribute to research in the domains of Simulation, Embedded system and Human–computer interaction.
While Robotics is the focus of it, it also provided insights into the studies of Field (computer science), Multimedia, Software engineering and Systems engineering. Most of the works presented in it deals with Mobile robot but it intersects with the subject of Motion planning.
The published papers are mainly concerned with subjects like Robot, Artificial intelligence, Mobile robot, Robotics and Control engineering. The journal papers explore topics in Robot which can be helpful for research in disciplines like Actuator, Simulation and Human–computer interaction. The journal papers explore issues in Mobile robot which can be linked to other research areas like Motion planning and Motion control.
The journal explores disciplines such as Robot, Artificial intelligence, Robotics, Automation and Human–computer interaction. It holds forums on Robot that merges themes from other disciplines such as Field (computer science), Young professional, Task analysis, Grippers and Software. It addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Software engineering and Systems engineering.
The concepts on Robotics presented in it can also apply to other research fields, including Engineering ethics, Engineering management and 2019-20 coronavirus outbreak. It facilitates discussions on Human–computer interaction that incorporate concepts from other fields like Robotic hand, Object (computer science), Surgical robotics and Robot vision systems. Issues in Health care were discussed, taking into consideration concepts from other disciplines like Mobile robot and Quality of life (healthcare).
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 Robotics & Automation Magazine (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 Robotics & Automation Magazine (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, 26.32% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 33.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.90% of all publications and 40.48% 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.
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(2022)Claudia D'Ettorre;Andrea Mariani;Agostino Stilli;Ferdinando Rodriguez y Baena
(2021)Feifei Chen;Michael Yu Wang
(2020)Margaret M. Coad;Laura H. Blumenschein;Sadie Cutler;Javier A. Reyna Zepeda
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