| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 179 | 53 | 61 | 20 |
| Computer Science | 216 | 95 | 97 | 25 |
| Mechanical and Aerospace Engineering | 304 | 14 | 17 | 8 |
Autonomous Robots focuses on Robot, Artificial intelligence, Simulation, Computer vision and Mobile robot. The work on Robot tackled in it brings together disciplines like Task (project management) and Human–computer interaction. Autonomous Robots focuses on Human–computer interaction research which is adjacent to topics in Human–robot interaction.
The study on Artificial intelligence presented in the journal intersects with the topics under Machine learning. The research on Simulation tackled can also make contributions to studies in the areas of Control theory, Real-time computing, Actuator, Torque and Trajectory. The studies on Computer vision discussed can also contribute to research in the domains of Simultaneous localization and mapping, Odometry and Robustness (computer science).
Mobile robot navigation and Social robot are some of the study areas of Mobile robot discussed.
The most cited articles focus on Robot, Artificial intelligence, Simulation, Mobile robot and Computer vision. The Robot research tackled in the most cited articles is interrelated with Human–computer interaction which concerns subjects like User interface. In addition to Artificial intelligence research, the most cited papers aim to explore topics under Machine learning and GRASP.
The journal aims to foster the development of research in Robot, Artificial intelligence, Computer vision, Human–computer interaction and Trajectory. While work presented in it provided substantial information on Robot, it also covered topics in Motion (physics), Distributed computing, Task (project management), Object (computer science) and Set (psychology). The studies in Artificial intelligence featured incorporate elements of Field (computer science) and Pattern recognition.
Some problems in Computer vision that were presented in Autonomous Robots overlapped with concepts under Odometry and Robustness (computer science). Human–computer interaction research discussed connects with the study of Teleoperation. The journal connects the study in Trajectory with the closely related area of Control theory.
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 Autonomous Robots (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 Autonomous Robots (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, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.61% were posted by at least one author from the top 10 institutions publishing in the journal. Another 19.70% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.70% of all publications and 50.00% 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.
Unknown
(2023)Unknown
(2023)Philipp Foehn;Dario Brescianini;Elia Kaufmann;Titus Cieslewski
(2021)Marija Popovic;Teresa A. Vidal-Calleja;Gregory Hitz;Jen Jen Chung
(2020)Rahul Shome;Kiril Solovey;Andrew Dobson;Dan Halperin
(2020)Xieyuanli Chen;Thomas Läbe;Andres Milioto;Timo Röhling
(2021)Zhi Yan;Tom Duckett;Nicola Bellotto
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