Published by: Frontiers Media S.A.
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 141 | 47 | 66 | 18 |
| Electronics and Electrical Engineering | 154 | 103 | 164 | 22 |
| Computer Science | 172 | 202 | 287 | 29 |
Frontiers in Robotics and AI generally zeroes in on subjects such as Artificial intelligence, Robot, Simulation, Robotics and Human–computer interaction. Some problems in Artificial intelligence that were presented in Frontiers in Robotics and AI overlapped with concepts under Machine learning and Computer vision. In addition to Machine learning research, Frontiers in Robotics and AI aims to explore topics under Variety (cybernetics), Visualization, Data mining and Pattern recognition (psychology).
The studies on Computer vision discussed can also contribute to research in the domains of Artificial neural network and Real-time computing. Research in Control theory and the interrelating topic of Work (physics) were among the subjects of interest in the Simulation studies discussed in it. The presented Robotics study covers related areas such as Robot software and Behavior-based robotics and also touches on topics like Task (project management) and Middleware.
The journal explores Human–computer interaction concepts, specifically Virtual reality but expands to research in Focus (computing). The journal focuses on Virtual reality but sometimes tackles the closely related topic of Illusion which is concerned with Immersion (virtual reality). The concepts on Evolutionary robotics presented in it can also apply to other research fields, including Artificial life, Exploit and Design methods.
The most cited articles generally zeroe in on subjects such as Artificial intelligence, Robot, Virtual reality, Simulation and Robotics. The Artificial intelligence study tackled in the most cited publications is a key component of adjacent topics in the area of Cognitive science. The published Robot works encompass concepts such as Evolutionary robotics, Tactile sensor and Robotic systems and examines them in conjunction with Bandwidth (signal processing).
The journal aims to foster the development of research in Artificial intelligence, Robot, Simulation, Robotics and Humanoid robot. Artificial intelligence research presented in the journal encompasses a variety of subjects, including Human–computer interaction, Cognitive science and Computer vision. The Human–computer interaction study presented in it encompasses related topics like Virtual reality and also examines its connection to subjects such as Focus (computing).
The featured Simulation research zeroes in on concepts in Haptic technology but also tackles themes under Virtual machine. Robotics research featured in it incorporates concerns from various other topics such as Real-time computing and Embodied cognition. It deals with Humanoid robot in conjunction with Embedded system and similar fields in Robot software.
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 Frontiers in Robotics and AI (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 Frontiers in Robotics and AI (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 2016 edition, 1.32% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.67% of all publications and 32.00% 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.
Kay M. Stanney;Cali M. Fidopiastis;Linda Foster
(2020)Evangelos Papadopoulos;Farhad Aghili;Ou Ma;Roberto Lampariello
(2021)Jochen Stüber;Claudio Zito;Rustam Stolkin
(2020)Unknown
(2022)Volker Strobel;Eduardo Castelló Ferrer;Eduardo Castelló Ferrer;Marco Dorigo
(2020)Veronica Esther Arriola-Rios;Püren Güler;Fanny Ficuciello;Danica Kragic
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