| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 254 | 92 | 161 | 14 |
| Mechanical and Aerospace Engineering | 317 | 17 | 27 | 7 |
| Engineering and Technology | 995 | 35 | 38 | 7 |
The foci of the journal are Control theory, Control engineering, Nonlinear system, Control theory and Control (management). Research on Control theory addressed in it frequently intersections with the field of Tracking (particle physics). The work on Control engineering tackled in Transactions of the Institute of Measurement and Control brings together disciplines like Fuzzy logic and Robustness (computer science).
The main points discussed in the journal publications deal with Control theory, Control engineering, Sliding mode control, Control theory and Nonlinear system. Control theory studies presented in the published articles include Control system, PID controller, Adaptive control, Robust control and Robustness (computer science). The Control engineering research presented in the most cited publications focuses mostly on Artificial intelligence and, on occasion, topics in Computer vision.
The journal focuses on Control theory, Nonlinear system, Control (management), Control theory and Tracking (particle physics). Transactions of the Institute of Measurement and Control facilitates discussions on Control theory that incorporate concepts from other fields like Model predictive control and Fuzzy logic. Some problems in Nonlinear system that were presented in it overlapped with concepts under Class (computer programming), Multi-agent system and Finite time.
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 Transactions of the Institute of Measurement and Control (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 Transactions of the Institute of Measurement and Control (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, 8.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.71% of all publications and 60.00% 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.
Ali Mohamed Eltamaly;Ali Mohamed Eltamaly;Mamdooh S. Al-Saud;Ahmed G. Abokhalil;Ahmed G. Abokhalil;Hassan M. H. Farh
(2020)Yong Zhang;Zengqiang Chen;Mingwei Sun
(2020)Arshad Rauf;Shihua Li;Rafal Madonski;Jun Yang
(2020)Yusuf Aydin;Doganay Sirintuna;Cagatay Basdogan
(2021)Wenwu Zhu;Wenwu Zhu;Dongbo Chen;Haibo Du;Xiangyu Wang;Xiangyu Wang
(2020)Hooman Mohammadi Moghadam;Ardashir Mohammadzadeh;Reza Hadjiaghaie Vafaie;Jafar Tavoosi
(2021)Yunlong Zhang;Guoguang Wen;Ahmed Rahmani;Zhaoxia Peng
(2021)Mahdi Ahmadi;Pouya Rikhtehgar;Mohammad Haeri
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