| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 494 | 4 | 14 | 4 |
The topics of Control theory, Control engineering, Artificial intelligence, Control theory and Nonlinear system are the focal point of discussions in Modeling Identification and Control. Modeling Identification and Control features Control theory research that overlaps with concepts in Mathematical optimization. The work tackled in Modeling Identification and Control goes beyond the discipline of Control engineering as it also encompasses Control (management).
Topics in Artificial intelligence were tackled in line with various other fields like Computer vision and Pattern recognition.
The most cited papers generally zeroe in on subjects such as Control theory, Simulation, Nonlinear system, Control engineering and System identification. The journal papers address concerns in Control theory which are intertwined with other disciplines, such as Simple (abstract algebra), Robotics and Artificial intelligence. The journal publications with studies in Control engineering featured incorporate elements of Tracking (particle physics) and Motion control.
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 Modeling Identification 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 Modeling Identification 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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
Lars Ivar Hatledal;Robert Skulstad;Guoyuan Li;Arne Styve
(2020)Robert Skulstad;Guoyuan Li;Thor I. Fossen;Tongtong Wang
(2021)Alberto Maximiliano Crescitelli;Lars Christian Gansel;Houxiang Zhang
(2021)Savin Viswanathan;Christian Holden;Olav Egeland;Marilena Greco
(2021)Åse Neverlien;Signe Moe;Jan Tommy Gravdahl
(2020)Aksel Sveier;Olav Egeland
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