| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 399 | 13 | 20 | 7 |
| Mechanical and Aerospace Engineering | 400 | 11 | 17 | 4 |
The discussions in the journal mainly cover the fields of Robot, Artificial intelligence, Computer vision, Simulation and Mobile robot. It explores issues in Robot which can be linked to other research areas like Task (project management) and Human–computer interaction. Some problems in Artificial intelligence that were presented in it overlapped with concepts under Machine learning, Service (systems architecture) and Pattern recognition.
The journal holds forums on Computer vision that merges themes from other disciplines such as Robustness (computer science) and GRASP. While Simulation is the focus of Intelligent Service Robotics, it also provided insights into the studies of Control system, Kinematics, Control (management), Humanoid robot and Control theory. It dives deep in exploring the relationship between the study of Mobile robot and Real-time computing.
Motion planning study tackled is connected to the field of Algorithm.
The journal articles are organized to address concerns in the fields of Artificial intelligence, Robot, Simulation, Mobile robot and Robotics. The most cited articles focus on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Computer vision. In addition to Robot research, the most cited publications aim to explore topics under Task (project management), Service (systems architecture) and Human–computer interaction.
Intelligent Service Robotics was organized to reinforce research efforts on Robot, Artificial intelligence, Motion planning, Computer vision and Trajectory. Intelligent Service Robotics focused on works that combine different research areas such as Robot and Obstacle. While it focused on Artificial intelligence, it was also able to explore topics like Machine learning and Pattern recognition.
It focuses on Motion planning but the discussions also offer insight into other areas such as Model predictive control, Convergence (routing), Vehicle dynamics, Cognitive map and Topological map. While work presented in Intelligent Service Robotics provided substantial information on Computer vision, it also covered topics in Wearable computer, Robustness (computer science), Exoskeleton and Degrees of freedom (mechanics). Peg in hole, Real-time computing, Torque and Revolute joint are some topics wherein Trajectory research discussed in Intelligent Service Robotics have an impact.
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 Intelligent Service 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 Intelligent Service 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, 4.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.22% of all publications and 48.89% 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.
Abdel-Nasser Sharkawy;Abdel-Nasser Sharkawy;Panagiotis N. Koustoumpardis;Nikos A. Aspragathos
(2020)Francisco Yumbla;Francisco Yumbla;June-Sup Yi;Meseret Abayebas;Mahir Shafiyev
(2020)Josie Hughes;Kieran Gilday;Luca Scimeca;Soham Garg
(2020)Tatsuya Nomura;Takayuki Kanda;Sachie Yamada;Tomohiro Suzuki
(2021)Luong Tin Phan;Yoon Haeng Lee;Young Hun Lee;Hyunyong Lee
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