| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 482 | 55 | 61 | 12 |
| Engineering and Technology | 867 | 26 | 31 | 9 |
The journal covers a variety of subjects, including Combinatorics, Mathematical optimization, Discrete mathematics, Algorithm and Computer network. In the Combinatorics research discussed, Graph, Time complexity, Vertex (geometry), Chordal graph and Steiner tree problem are all tackled. Chordal graph and Indifference graph are closely related fields of research discussed in the journal.
The studies on Mathematical optimization discussed can also contribute to research in the domains of Routing (electronic design automation), Vehicle routing problem and Set (abstract data type). It dives deep in exploring the relationship between the study of Discrete mathematics and Graph theory. The Algorithm study featured in Networks draws parallels with the field of Shortest path problem.
Shortest path problem research is the primary subject tackled in it with a focus on K shortest path routing. The in-depth study on Computer network also explores topics in the intersecting field of Distributed computing. It links adjacent topics like Spanning tree with Minimum spanning tree.
The journal articles tackle a plethora of topics, such as Mathematical optimization, Combinatorics, Algorithm, Discrete mathematics and Shortest path problem. The journal papers with studies in Mathematical optimization featured incorporate elements of Routing (electronic design automation) and Vehicle routing problem. Algorithm study tackled in the journal publications is connected to the field of Upper and lower bounds.
The objective of Networks is to combine knowledge in the areas of Mathematical optimization, Combinatorics, Vehicle routing problem, Integer programming and Routing (electronic design automation). Topics in Mathematical optimization explored in the journal were investigated in conjunction with research in Flow (mathematics) and Computational complexity theory. Networks explores research in Combinatorics and the adjacent study of Dynamic programming.
While it focused on Vehicle routing problem, it was also able to explore topics like Set (abstract data type), Arc routing and Branch and cut. The study of Integer programming encompasses disciplines such as Combinatorial optimization, as well as fields such as Theoretical computer science, all of which overlap with one another. The journal explores the study of Routing (electronic design automation) to improve our understanding of the broader topic of Computer network.
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 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 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, 5.32% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.74% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.87% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.10% of all publications and 66.29% 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.
A career in research comes with numerous opportunities, especially in areas outlined in our journal, such as Combinatorics, Mathematical optimization, and Discrete mathematics. Many of our readers and contributors have kick-started their research careers by aligning their interests and specializing in these areas. Depending on their professional backdrop, they go on to work in universities, research institutions, or the technology industry. It is essential to consider that venturing into a research career requires a significant investment in education. For individuals who find joy in teaching and collection of historical data, becoming a history teacher could be a fulfilling career path. In a State like Colorado, the amount of time varies based on the path chosen by the individual. In case you're interested in understanding the requirements, you can click on how long does it take to become a teacher in Colorado for a detailed guide. Based on the topics covered in our journal, you can see that each subject area holds potential for a rich and varied career path. Advances in areas such as Algorithm studies or Computer networks could lead to innovative solutions in technology and computing, illustrating just some of the exciting opportunities that a career in research presents.
Claudia Archetti;Luca Bertazzi
(2021)Afonso H. Sampaio;Martin W. P. Savelsbergh;Lucas P. Veelenturf;Tom Van Woensel
(2020)Luigi Di Puglia Pugliese;Giusy Macrina;Francesca Guerriero
(2021)Mauro Dell'Amico;Roberto Montemanni;Stefano Novellani
(2021)Jason I. Brown;Charles J. Colbourn;Danielle Cox;Christina Graves
(2021)Niels A. H. Agatz;Mike Hewitt;Barrett W. Thomas
(2021)Briseida Sarasola;Karl F. Doerner
(2020)Mohd. Hafiz Hasan;Pascal Van Hentenryck
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