| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 430 | 10 | 16 | 6 |
| Computer Science | 669 | 23 | 36 | 8 |
| Engineering and Technology | 1049 | 12 | 19 | 7 |
| Medicine | 2408 | 25 | 23 | 10 |
International Journal of Medical Robotics and Computer Assisted Surgery explores disciplines such as Surgery, Artificial intelligence, Simulation, Robotic surgery and Robot. The work tackled in it goes beyond the discipline of Surgery as it also encompasses General surgery. The Artificial intelligence works featured in International Journal of Medical Robotics and Computer Assisted Surgery incorporate elements from Imaging phantom and Computer vision.
Some problems in Imaging phantom that were presented in International Journal of Medical Robotics and Computer Assisted Surgery overlapped with concepts under Biomedical engineering and Ultrasound. The journal holds forums on Simulation that merges themes from other disciplines such as Workspace and Teleoperation. The work on Robotic surgery tackled in International Journal of Medical Robotics and Computer Assisted Surgery brings together disciplines like Laparoscopic surgery and Colorectal cancer.
The main emphasis of International Journal of Medical Robotics and Computer Assisted Surgery is the research on Robot, emphasizing the topic of Robotic systems.
The journal papers focus largely on the fields of Surgery, Artificial intelligence, Robot, Simulation and Robotic surgery. In addition to Surgery research, the most cited articles aim to explore topics under Medical physics and General surgery. The study on Artificial intelligence presented in the most cited papers is investigated in conjunction with research in Computer vision.
The journal facilitates discussions on Surgery, Robotic surgery, Robot, Artificial intelligence and Perioperative. The tackled Surgery research is interrelated with Colorectal cancer which concerns subjects like Mortality rate. The studies in Robotic surgery featured incorporate elements of Stage (cooking), Prostatectomy, Retrospective cohort study and Colorectal surgery.
The research on Robot featured in it combines topics in other fields like Trajectory, Imaging phantom, Simulation, Work (physics) and Biomedical engineering. While Simulation is the focus of International Journal of Medical Robotics and Computer Assisted Surgery, it also provided insights into the studies of Workspace and Degrees of freedom (mechanics). The studies in Artificial intelligence featured incorporate elements of Pedicle screw and Computer vision.
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 Medical Robotics and Computer Assisted Surgery (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 Medical Robotics and Computer Assisted Surgery (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, 5.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.75% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.55% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.87% of all publications and 52.83% 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.
Minho Hwang;Dong-Soo Kwon
(2020)Qingchuan Ma;Etsuko Kobayashi;Bowen Fan;Keiichi Nakagawa
(2020)Murilo Marques Marinho;Kanako Harada;Akio Morita;Mamoru Mitsuishi
(2020)Dehlela Shabir;Nihal Abdurahiman;Jhasketan Padhan;May Trinh
(2021)Shane O'Sullivan;Simon Leonard;Andreas Holzinger;Colin Allen
(2020)Julia K Grass;Chien-Chih Chen;Nathaniel Melling;Bharathi Lingala
(2021)Hansoul Kim;Minho Hwang;Joonhwan Kim;Jae Min You
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