| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 473 | 9 | 13 | 6 |
| Computer Science | 670 | 23 | 30 | 8 |
| Engineering and Technology | 1108 | 14 | 20 | 6 |
Complex network, Theoretical computer science, Topology, Centrality and Artificial intelligence are the subjects of interest in Journal of Complex Networks. It explores research in Complex network and the adjacent study of Data science. The studies in Theoretical computer science featured incorporate elements of Degree (graph theory), Graph (abstract data type), Cluster analysis and Random graph.
Research in Degree (graph theory) discussed is concerned with the study of Combinatorics as a whole. The Centrality study featured in it draws connections with the study of Node (networking). Artificial intelligence research presented in the journal encompasses a variety of subjects, including Machine learning and Pattern recognition.
The published articles explore disciplines such as Theoretical computer science, Centrality, Complex network, Network science and Degree distribution. The most cited articles aim to investigate interdisciplinary topics such as Theoretical computer science and Process (engineering). The most cited papers about Assortative mixing research are fields of study within Complex network but they also intertwine with concepts in Legislation.
The journal investigates areas of study like Complex network, Topology, Artificial intelligence, Centrality and Theoretical computer science. The Complex network research dealing mostly with Network science is the focus of the journal. The Artificial intelligence works featured in it incorporate elements from Machine learning and Pattern recognition.
Journal of Complex Networks addresses concerns in Machine learning which are intertwined with other disciplines, such as Variety (cybernetics) and Visualization. The research on Centrality featured in it combines topics in other fields like Discrete mathematics, Basketball, Mathematics education and Service (systems architecture). The featured Theoretical computer science studies mainly concentrate on Embedding but also cover areas of interest in Curse of dimensionality.
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 Journal of Complex Networks (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 Journal of Complex Networks (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, 4.35% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.91% of all publications and 61.36% 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.
Han L. J. van der Maas;Jonas Dalege;Lourens J. Waldorp
(2020)Michele Benzi;Daniele Bertaccini;Fabio Durastante;Igor Simunec
(2020)Ali Jazayeri;Christopher C Yang
(2020)Leo Torres;Kevin S Chan;Tina Eliassi-Rad
(2020)Jürgen Jost;Raffaella Mulas
(2021)Pavel Skums;Leonid Bunimovich
(2020)Jean-Gabriel Young;George T. Cantwell;M. E. J. Newman
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