Ranjan Kumar Behera

83 total papers · 1.4k total citations
43 papers, 768 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 43 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 15 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, Shaun R. Brinsmade and Bibhudatta Sahoo 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 746 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ranjan Kumar Behera	323	140	139	111	106	43	768
Frank Lin	263 0.8×	121 0.9×	173 1.2×	87 0.8×	39 0.4×	54	758
Peng Zhang	163 0.5×	453 3.2×	91 0.7×	114 1.0×	16 0.2×	50	854
Libo Zhang	201 0.6×	9 0.1×	264 1.9×	117 1.1×	39 0.4×	35	875
Jianjun Wang	71 0.2×	37 0.3×	195 1.4×	17 0.2×	29 0.3×	54	635
Armin R. Mikler	94 0.3×	62 0.4×	44 0.3×	40 0.4×	180 1.7×	73	666
Ming Yan	333 1.0×	51 0.4×	19 0.1×	123 1.1×	13 0.1×	58	880
Xian Yang	189 0.6×	24 0.2×	119 0.9×	79 0.7×	26 0.2×	62	641
Benyun Shi	151 0.5×	79 0.6×	21 0.2×	51 0.5×	98 0.9×	73	797
Xiangfeng Dai	160 0.5×	154 1.1×	33 0.2×	38 0.3×	50 0.5×	37	647
Ming Liu	194 0.6×	32 0.2×	239 1.7×	105 0.9×	5 0.0×	43	742

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

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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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