Sanjay Kumar Sharma

88 total papers · 515 total citations
48 papers, 325 citations indexed

About

Sanjay Kumar Sharma is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Sanjay Kumar Sharma has authored 48 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 20 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Sanjay Kumar Sharma's work include Cloud Computing and Resource Management (13 papers), Distributed and Parallel Computing Systems (10 papers) and IoT and Edge/Fog Computing (8 papers). Sanjay Kumar Sharma is often cited by papers focused on Cloud Computing and Resource Management (13 papers), Distributed and Parallel Computing Systems (10 papers) and IoT and Edge/Fog Computing (8 papers). Sanjay Kumar Sharma collaborates with scholars based in India, United States and Czechia. Sanjay Kumar Sharma's co-authors include Biranchi Panda, S.S. Mahapatra, J. Amutha, Sandeep Sharma, Dinesh Khanduja, Rajeev Rathi, Ravishankar K. Iyer, Sunil Kumar, Pankaj Jain and Mandeep Mittal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Science Review and The Journal of Supercomputing.

In The Last Decade

Sanjay Kumar Sharma

40 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Sanjay Kumar Sharma	146	100	72	51	46	48	325
Carsten Franke	83 0.6×	143 1.4×	36 0.5×	46 0.9×	54 1.2×	22	321
Claus Rautenstrauch	46 0.3×	89 0.9×	28 0.4×	77 1.5×	49 1.1×	38	292
P. Mathiyalagan	83 0.6×	105 1.1×	22 0.3×	64 1.3×	57 1.2×	37	325
Van‐Dat Cung	32 0.2×	115 1.1×	21 0.3×	62 1.2×	12 0.3×	25	338
Wei Ding	75 0.5×	60 0.6×	16 0.2×	64 1.3×	77 1.7×	53	277
Abdellah Abouabdellah	26 0.2×	89 0.9×	20 0.3×	108 2.1×	68 1.5×	50	307
Diolino José dos Santos Filho	39 0.3×	46 0.5×	30 0.4×	71 1.4×	20 0.4×	54	360
Norbert Meyer	128 0.9×	19 0.2×	16 0.2×	68 1.3×	76 1.7×	63	362
Fitri Maya Puspita	52 0.4×	77 0.8×	42 0.6×	13 0.3×	35 0.8×	89	257
Yee Ming Chen	63 0.4×	51 0.5×	56 0.8×	61 1.2×	30 0.7×	35	324

Countries citing papers authored by Sanjay Kumar Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Sanjay Kumar Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay Kumar Sharma. 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 Sanjay Kumar Sharma. The network helps show where Sanjay Kumar Sharma may publish in the future.

Co-authorship network of co-authors of Sanjay Kumar Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kumar Sharma. A scholar is included among the top collaborators of Sanjay Kumar Sharma 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 Sanjay Kumar Sharma. Sanjay Kumar Sharma 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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