| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 182 | 94 | 117 | 19 |
| Mechanical and Aerospace Engineering | 222 | 44 | 58 | 12 |
| Computer Science | 274 | 83 | 111 | 21 |
| Engineering and Technology | 485 | 33 | 106 | 17 |
Control theory, Robot, Artificial intelligence, Control engineering and Computer vision are the subjects of interest in Journal of Intelligent and Robotic Systems. It focuses on different Control theory studies like Control theory, Trajectory, Nonlinear system, Control system and Robustness (computer science). The Control theory study featured in it draws parallels with the field of Lyapunov function.
Simulation and Human–computer interaction are some topics wherein Robot research discussed in Journal of Intelligent and Robotic Systems have an impact. The Simulation study tackled is a key component of adjacent topics in the area of Real-time computing. It explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Task (project management) and Position (vector).
The work on Control engineering tackled in it brings together disciplines like Control (management), Actuator and Fuzzy logic. Mobile robot navigation is a focus of the presented Mobile robot works and it dives deep in Mobile robot navigation. The Motion planning study featured falls within the larger field of Path (graph theory).
Control theory, Control engineering, Artificial intelligence, Robot and Simulation are the main subjects of interest in the published articles. The studies on Control engineering discussed at the journal publications can also contribute to research in the domains of Control system, Control (management) and Fuzzy logic. The most cited articles address concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning and Computer vision.
The topics of Robot, Artificial intelligence, Control theory, Control theory and Computer vision are the focal point of discussions in the journal. Some problems in Robot that were presented in it overlapped with concepts under Control engineering and Task (project management). It connects research in Artificial intelligence with the related topic of Pattern recognition.
It links adjacent topics like Control theory with Model predictive control. The studies on Control theory discussed can also contribute to research in the domains of Control (management) and Parametric statistics. The journal explores topics in Motion planning which can be helpful for research in disciplines like Algorithm and Real-time computing.
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 Journal of Intelligent and Robotic Systems (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 Journal of Intelligent and Robotic Systems (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, 8.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.81% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.90% of all publications and 69.11% 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.
Xunyu Zhong;Jun Tian;Huosheng Hu;Xiafu Peng
(2020)Loris Roveda;Jeyhoon Maskani;Paolo Franceschi;Arash Abdi
(2020)Stefano Primatesta;Alessandro Rizzo;Anders la Cour-Harbo
(2020)Davide Bicego;Davide Bicego;Jacopo Mazzetto;Ruggero Carli;Marcello Farina
(2020)Tomas Baca;Matej Petrlik;Matous Vrba;Vojtech Spurny
(2021)Son Thanh Nguyen;Hung Manh La
(2021)Saeed H. Alsamhi;Ou Ma;Mohammad Samar Ansari
(2020)Luís Martins;Carlos B. Cardeira;Paulo Oliveira
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