| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 387 | 7 | 10 | 5 |
| Electronics and Electrical Engineering | 452 | 11 | 14 | 5 |
The journal is mainly concerned with subjects like Robot, Artificial intelligence, Humanoid robot, Simulation and Computer vision. Robot research featured in International Journal of Humanoid Robotics incorporates concerns from various other topics such as Trajectory and Human–computer interaction. The Artificial intelligence study featured in it draws connections with the study of Task (project management).
Topics in Humanoid robot were tackled in line with various other fields like Gait (human) and Motion planning. Issues in Simulation were discussed, taking into consideration concepts from other disciplines like Kinematics, Control theory, Torque, Work (physics) and Zero moment point. It features Computer vision research that overlaps with concepts in Inverse kinematics.
The published articles primarily tackle Artificial intelligence, Robot, Humanoid robot, Simulation and Human–computer interaction. The most cited publications with studies in Artificial intelligence featured incorporate elements of Control system, Computer vision and Set (psychology). The published papers hold forums on Robot that merge themes from other disciplines such as Motion (physics) and Task (project management).
The scientific interests tackled in the journal are Robot, Artificial intelligence, Humanoid robot, Computer vision and Control (management). Studies on Robot discussed in International Journal of Humanoid Robotics link to the field of Reliability (statistics). Topics in Artificial intelligence explored in International Journal of Humanoid Robotics were investigated in conjunction with research in Tactile perception and Pattern recognition.
Humanoid robot research presented in International Journal of Humanoid Robotics encompasses a variety of subjects, including Simulation, Impedance control and Human–computer interaction. While Computer vision is the focus of it, it also provided insights into the studies of Sample entropy and Key (cryptography). The Human operator studies presented in it fall under the field of Control (management), but it also has connections to other fields such as Design modeling, Direct instruction and Operator (computer programming).
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 International Journal of Humanoid 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 International Journal of Humanoid 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, 6.25% 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 13.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 53.33% 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.
Julia Starke;Christian Eichmann;Simon Ottenhaus;Tamim Asfour
(2020)J. Rogelio Guadarrama Olvera;Emmanuel Dean Leon;Florian Bergner;Gordon Cheng
(2020)Tianyi Ko;Kazuya Murotani;Ko Yamamoto;Yoshihiko Nakamura
(2021)Shintaro Noda;Fumihito Sugai;Kunio Kojima;Kim-Ngoc-Khanh Nguyen
(2020)Peter Regier;Andres Milioto;Cyrill Stachniss;Maren Bennewitz
(2020)Tianwei Zhang;Yoshihiko Nakamura
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