Ranjan Kumar Behera

1.4k total citations
44 papers, 779 citations indexed

About

Ranjan Kumar Behera is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ranjan Kumar Behera has authored 44 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Statistical and Nonlinear Physics and 13 papers in Computer Networks and Communications. Recurrent topics in Ranjan Kumar Behera's work include Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (9 papers) and Advanced Graph Neural Networks (8 papers). Ranjan Kumar Behera is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (9 papers) and Advanced Graph Neural Networks (8 papers). Ranjan Kumar Behera collaborates with scholars based in India, United States and Nigeria. Ranjan Kumar Behera's co-authors include Santanu Kumar Rath, Sanjay Misra, Monalisa Jena, Kojo Mensa‐Wilmot, Anisha Kumari, Mukesh Kumar, Dharavath Ramesh, Michael P. Pollastri, Bibhudatta Sahoo and Shaun R. Brinsmade and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Ranjan Kumar Behera

40 papers receiving 756 citations

Peers

Ranjan Kumar Behera
Comparison fields: 5 of 118
  • Artificial Intelligence 325
  • Statistical and Nonlinear Physics 144
  • Molecular Biology 142
  • Information Systems 111
  • Epidemiology 109
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Citations per field, relative to Ranjan Kumar Behera
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Citations per year, relative to Ranjan Kumar Behera
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Countries citing papers authored by Ranjan Kumar Behera

Since Specialization
Citations

This map shows the geographic impact of Ranjan Kumar Behera's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ranjan Kumar Behera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjan Kumar Behera more than expected).

Fields of papers citing papers by Ranjan Kumar Behera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranjan Kumar Behera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ranjan Kumar Behera. The network helps show where Ranjan Kumar Behera may publish in the future.

Co-authorship network of co-authors of Ranjan Kumar Behera

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjan Kumar Behera. A scholar is included among the top collaborators of Ranjan Kumar Behera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ranjan Kumar Behera. Ranjan Kumar Behera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 8
4 18
5 2
6 7
7 1
8 12
9 12
10 17
11 3
12 0
13 34
14 1
15 9
16 12
17 8
18
Concept, Design and Performance Evaluation of VLVIW Processor
1
19 30
20
Concept of a Supervector Processor: A Vector Approach to Superscalar Processor, Design and Performance Analysis
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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