Sarvesh Tanwar

139 total papers · 1.0k total citations
79 papers, 490 citations indexed

About

Sarvesh Tanwar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Sarvesh Tanwar has authored 79 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 34 papers in Information Systems and 27 papers in Artificial Intelligence. Recurrent topics in Sarvesh Tanwar's work include Network Security and Intrusion Detection (19 papers), Blockchain Technology Applications and Security (16 papers) and Advanced Malware Detection Techniques (15 papers). Sarvesh Tanwar is often cited by papers focused on Network Security and Intrusion Detection (19 papers), Blockchain Technology Applications and Security (16 papers) and Advanced Malware Detection Techniques (15 papers). Sarvesh Tanwar collaborates with scholars based in India, United Arab Emirates and Saudi Arabia. Sarvesh Tanwar's co-authors include Sumit Badotra, Ajay Rana, Neelam Gupta, Surya Narayan Panda, Anil Kumar, Deepali Gupta, Salil Bharany, Thipendra P. Singh, Mashael Maashi and Mohammed Aljebreen and has published in prestigious journals such as Computers & Security, Multimedia Tools and Applications and Electronics.

In The Last Decade

Sarvesh Tanwar

67 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Sarvesh Tanwar	247	209	166	85	55	79	490
Mohammed Hussain	196 0.8×	124 0.6×	166 1.0×	108 1.3×	40 0.7×	46	428
Syed Atif Moqurrab	159 0.6×	141 0.7×	227 1.4×	57 0.7×	41 0.7×	34	474
G. Narsimha	231 0.9×	120 0.6×	206 1.2×	85 1.0×	39 0.7×	69	520
L. Arockiam	247 1.0×	299 1.4×	211 1.3×	53 0.6×	66 1.2×	109	539
Anand Singh Rajawat	184 0.7×	162 0.8×	93 0.6×	38 0.4×	38 0.7×	81	511
Mohammad Ahsan Chishti	283 1.1×	151 0.7×	142 0.9×	64 0.8×	78 1.4×	58	551
Manal Abdullah Alohali	238 1.0×	122 0.6×	185 1.1×	107 1.3×	62 1.1×	52	510
Abidemi Emmanuel Adeniyi	202 0.8×	116 0.6×	187 1.1×	110 1.3×	52 0.9×	51	458
H L Gururaj	157 0.6×	108 0.5×	138 0.8×	55 0.6×	73 1.3×	79	525
Masayoshi Aritsugi	222 0.9×	149 0.7×	208 1.3×	71 0.8×	62 1.1×	115	543

Countries citing papers authored by Sarvesh Tanwar

Since Specialization

Citations

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

Fields of papers citing papers by Sarvesh Tanwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarvesh Tanwar. 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 Sarvesh Tanwar. The network helps show where Sarvesh Tanwar may publish in the future.

Co-authorship network of co-authors of Sarvesh Tanwar

This figure shows the co-authorship network connecting the top 25 collaborators of Sarvesh Tanwar. A scholar is included among the top collaborators of Sarvesh Tanwar 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 Sarvesh Tanwar. Sarvesh Tanwar 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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