| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 81 | 235 | 440 | 35 |
| Computer Science | 212 | 119 | 175 | 25 |
| Engineering and Technology | 407 | 72 | 118 | 19 |
The main research concerns discussed in the journal are Mathematical optimization, Control theory, Control system, Network topology and Multi-agent system. IEEE Transactions on Control of Network Systems facilitates discussions on Mathematical optimization that incorporate concepts from other fields like Distributed algorithm, Convergence (routing) and Algorithm design. The journal features studies on Convergence (routing), including topics such as Rate of convergence.
It focused on Control theory research but expanded to cover Decentralised system. While the journal focused on Control system, it was also able to explore topics like Stability (learning theory), Control (management) and Distributed computing. The journal focuses on Network topology but the discussions also offer insight into other areas such as Node (networking), Topology (electrical circuits) and Topology.
It explores research in Topology and the adjacent study of Controllability. Consensus is part of Multi-agent system studies tackled in the journal.
The published articles are organized to address concerns in the fields of Mathematical optimization, Control theory, Control system, Network topology and Multi-agent system. The published articles discuss concepts in Optimization problem under Mathematical optimization and how they intertwine with disciplines like Convex optimization. The most cited articles focus on Control theory but sometimes tackle the closely related topic of Electric power system which is concerned with Stability (probability).
The journal is organized to address concerns in the fields of Mathematical optimization, Control theory, Control system, Convergence (routing) and Topology. The Mathematical optimization study tackled is a key component of adjacent topics in the area of Distributed algorithm. The concepts on Control theory presented in the journal can also apply to other research fields, including Control (management) and Multi-agent system.
While work presented in it provided substantial information on Multi-agent system, it also covered topics in Upper and lower bounds, Theoretical computer science and State (computer science). Topics in Control system explored in it were investigated in conjunction with research in Algorithm, Computer network and Distributed computing. Topology research featured in it incorporates concerns from various other topics such as Network topology, Controllability, Topology (electrical circuits) and Stability (probability).
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 IEEE Transactions on Control of Network Systems (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 IEEE Transactions on Control of Network Systems (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, 18.87% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.51% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.28% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.51% of all publications and 40.70% 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.
Chao Deng;Changyun Wen
(2020)Junyan Hu;Parijat Bhowmick;Alexander Lanzon
(2020)Dongyu Li;Shuzhi Sam Ge;Tong Heng Lee
(2021)Ning Zhao;Peng Shi;Wen Xing;Jonathon Chambers
(2021)Fei Chen;Dimos V. Dimarogonas
(2021)Federico Rossi;Ramon Iglesias;Mahnoosh Alizadeh;Marco Pavone
(2020)Changkun Du;Xiangdong Liu;Wei Ren;Pingli Lu
(2020)Tommaso Menara;Giacomo Baggio;Danielle S. Bassett;Fabio Pasqualetti
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