| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 912 | 10 | 10 | 4 |
The journal investigates studies in Computer network, Combinatorics, Distributed computing, Discrete mathematics and Interconnection. Journal of Interconnection Networks facilitates discussions on Computer network that incorporate concepts from other fields like Wireless network and Wireless ad hoc network. Research on Combinatorics addressed in it frequently intersections with the field of Upper and lower bounds.
Topics in Distributed computing explored in it were investigated in conjunction with research in Link-state routing protocol, Wireless Routing Protocol, Optimized Link State Routing Protocol and Dynamic Source Routing. Ad hoc wireless distribution service is a primary topic of Optimized Link State Routing Protocol research in it. Destination-Sequenced Distance Vector routing is a major topic of Dynamic Source Routing research presented in the journal.
Cayley graph is the primary subject of Discrete mathematics works presented in it. Many of the studies tackled connect Wireless sensor network with a similar field of study like Key distribution in wireless sensor networks.
The most cited articles mainly deal with areas of study such as Computer network, Discrete mathematics, Distributed computing, Combinatorics and Wireless ad hoc network. Many of the studies tackled in the journal publications connect Computer network with a similar field of study like Key distribution in wireless sensor networks. The works on Discrete mathematics tackled in the most cited articles bring together disciplines like Node (networking), Fault tolerance and Interconnection.
Journal of Interconnection Networks mainly deals with areas of study such as Combinatorics, Graph (abstract data type), Artificial intelligence, Vertex (geometry) and Path (graph theory). It explores research in Class (set theory) and overlapping concepts in Chromatic sum and Hypercube to expand the discourse in Combinatorics. Graph (abstract data type) research in the journal involves the investigation of Cartesian product studies, all of which are linked to disciplines such as Vertex (graph theory).
The Artificial intelligence works featured in Journal of Interconnection Networks incorporate elements from Quality (business) and Pattern recognition. The studies tackled, which mainly focus on Directed acyclic graph, apply to Discrete mathematics as well. The research on Discrete mathematics featured in the journal combines topics in other fields like Social connectedness, Enhanced Data Rates for GSM Evolution, Graph theory, Combinatorial mathematics and Interconnection.
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 Interconnection 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 Interconnection 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, 35.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.30% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.65% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.60% of all publications and 67.44% 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.
For scholars eager to contribute to Journal of Interconnection Networks, a well-structured research approach is essential. Prior to beginning your study, take time to review relevant literature, to understand the gaps and trends in this field. To assist in the writing process, here are a few pointers for authors planning to contribute. 1. **Understand the Context**: Always start your study with a firm understanding of the current progress and issues within the Interconnection Networks field. Draw attention to previous works relating to your topic, and highlight the gaps that your research aims to fill. 2. **Use Reliable Sources**: Be sure to utilise credible and up-to-date sources in your literature review. This boosts the credibility of your research and provides a stronger grounding for your arguments. 3. **Identify Relevant Topics**: Combinatorics, Computer Networks, Distributed Computing, and Discrete Mathematics are common topics within the Journal of Interconnection Networks. Identifying a topic that aligns with these key areas may improve your chances of acceptance. 4. **Acknowledge the Work of Others**: Properly cite any authors whose work you have referenced in your study; not only is this ethical but it also gives your readers a chance to delve deeper into the topic. Readers looking to enter the field of education may find this guide on [how to become an English teacher in Kentucky](https://research.com/careers/how-to-become-an-english-teacher-in-kentucky) useful. 5. **Keep up with Recent Editions of the Journal**: Familiarise yourself with the format and style of the journal by studying recent editions. This will help ensure your work adheres to the journal's norms and increases your probability of publication. By adhering to these guidelines, you'll be well on your way to contributing valuable insights to the interconnection networks' research landscape! Remember, the road to publication can be long and winding, but the pursuit of knowledge is always rewarding.
Yuefang Sun;Gregory Z. Gutin
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