Bikash K. Behera

145 total papers · 1.3k total citations
49 papers, 476 citations indexed

About

Bikash K. Behera is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Bikash K. Behera has authored 49 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 19 papers in Atomic and Molecular Physics, and Optics and 9 papers in Computational Theory and Mathematics. Recurrent topics in Bikash K. Behera's work include Quantum Computing Algorithms and Architecture (35 papers), Quantum Information and Cryptography (30 papers) and Quantum Mechanics and Applications (17 papers). Bikash K. Behera is often cited by papers focused on Quantum Computing Algorithms and Architecture (35 papers), Quantum Information and Cryptography (30 papers) and Quantum Mechanics and Applications (17 papers). Bikash K. Behera collaborates with scholars based in India, Qatar and United States. Bikash K. Behera's co-authors include Prasanta K. Panigrahi, Ahmed Farouk, Utkarsh Azad, Anindita Banerjee, Saeed Haddadi, Mohammad Reza Pourkarimi, Christopher Ferrie, Saif Al‐Kuwari, Preeti Mulay and Sanjeev Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Bikash K. Behera

41 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Bikash K. Behera	398	238	56	37	35	49	476
Mohammed Zidan	285 0.7×	136 0.6×	78 1.4×	26 0.7×	24 0.7×	23	475
Jarosław Adam Miszczak	317 0.8×	220 0.9×	86 1.5×	19 0.5×	13 0.4×	43	486
Zhengwen Cao	390 1.0×	302 1.3×	16 0.3×	31 0.8×	25 0.7×	43	439
Tao Shang	340 0.9×	124 0.5×	47 0.8×	42 1.1×	94 2.7×	102	459
Jie Lin	262 0.7×	181 0.8×	22 0.4×	27 0.7×	12 0.3×	41	424
Chao‐Hua Yu	404 1.0×	169 0.7×	115 2.1×	17 0.5×	25 0.7×	20	431
Shenggen Zheng	427 1.1×	120 0.5×	184 3.3×	35 0.9×	11 0.3×	49	467
Bo Liu	377 0.9×	317 1.3×	28 0.5×	56 1.5×	41 1.2×	53	551
Daniel Stilck França	400 1.0×	234 1.0×	67 1.2×	35 0.9×	8 0.2×	27	483
Yan Liang	349 0.9×	208 0.9×	54 1.0×	37 1.0×	16 0.5×	47	473

Countries citing papers authored by Bikash K. Behera

Since Specialization

Citations

This map shows the geographic impact of Bikash K. 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 Bikash K. Behera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bikash K. Behera more than expected).

Fields of papers citing papers by Bikash K. Behera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bikash K. 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 Bikash K. Behera. The network helps show where Bikash K. Behera may publish in the future.

Co-authorship network of co-authors of Bikash K. Behera

This figure shows the co-authorship network connecting the top 25 collaborators of Bikash K. Behera. A scholar is included among the top collaborators of Bikash K. 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 Bikash K. Behera. Bikash K. 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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