Deepak K. Tosh

112 total papers · 2.2k total citations
71 papers, 1.4k citations indexed

About

Deepak K. Tosh is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Deepak K. Tosh has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 41 papers in Information Systems and 19 papers in Artificial Intelligence. Recurrent topics in Deepak K. Tosh's work include Network Security and Intrusion Detection (22 papers), Blockchain Technology Applications and Security (19 papers) and IoT and Edge/Fog Computing (16 papers). Deepak K. Tosh is often cited by papers focused on Network Security and Intrusion Detection (22 papers), Blockchain Technology Applications and Security (19 papers) and IoT and Edge/Fog Computing (16 papers). Deepak K. Tosh collaborates with scholars based in United States, Cameroon and India. Deepak K. Tosh's co-authors include Charles Kamhoua, Sachin Shetty, Laurent Njilla, Xueping Liang, Kevin Kwiat, Shamik Sengupta, Kevin A. Kwiat, Peter Foytik, Iman Vakilinia and Andrew Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Deepak K. Tosh

62 papers receiving 1.3k citations

Hit Papers

ProvChain: A Blockchain-B... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Deepak K. Tosh 1.1k 691 341 143 94 71 1.4k
Massimiliano Rak 1.1k 1.0× 1.0k 1.5× 330 1.0× 169 1.2× 59 0.6× 139 1.5k
Udo W. Pooch 630 0.6× 798 1.2× 388 1.1× 272 1.9× 57 0.6× 105 1.7k
Wei‐Tek Tsai 1.0k 1.0× 811 1.2× 349 1.0× 76 0.5× 45 0.5× 85 1.5k
Eunmi Choi 929 0.9× 909 1.3× 233 0.7× 50 0.3× 63 0.7× 82 1.4k
Carlos Becker Westphall 759 0.7× 1.0k 1.5× 504 1.5× 235 1.6× 34 0.4× 99 1.5k
Xueping Liang 1.4k 1.3× 793 1.1× 411 1.2× 64 0.4× 94 1.0× 40 1.6k
Paolo Trunfio 597 0.6× 948 1.4× 338 1.0× 94 0.7× 230 2.4× 89 1.6k
Peter Mell 1.2k 1.2× 1.2k 1.7× 458 1.3× 442 3.1× 74 0.8× 45 1.9k
Fuyuki Ishikawa 859 0.8× 644 0.9× 383 1.1× 40 0.3× 87 0.9× 113 1.4k
Tooska Dargahi 772 0.7× 723 1.0× 444 1.3× 239 1.7× 24 0.3× 46 1.4k

Countries citing papers authored by Deepak K. Tosh

Since Specialization
Citations

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

Fields of papers citing papers by Deepak K. Tosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak K. Tosh

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