Vinod Mahor

52 total papers · 853 total citations
12 papers, 38 citations indexed

About

Vinod Mahor is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Vinod Mahor has authored 12 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Vinod Mahor's work include Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Vinod Mahor is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Vinod Mahor collaborates with scholars based in India and Spain. Vinod Mahor's co-authors include Santanu Chatterjee, Romil Rawat, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Sandeep Raghuwanshi, Debajyoti Mukhopadhyay, Rabindra Nath Shaw, Surendra Kumar Shukla, Ankush Ghosh, Dhirendra Pratap Singh and Josefa Díaz‐Álvarez and has published in prestigious journals such as Peer-to-Peer Networking and Applications, International Journal of Security and Networks and International Journal of Information Security and Privacy.

In The Last Decade

Vinod Mahor

8 papers receiving 36 citations

Author Peers

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

Author Last Decade Papers Cites
Vinod Mahor 18 17 14 11 8 12 38
A. Singer 21 1.2× 14 0.8× 10 0.7× 15 1.4× 7 0.9× 14 49
Sudheesh Singanamalla 16 0.9× 15 0.9× 17 1.2× 6 0.5× 5 0.6× 8 40
Dwayne Williams 31 1.7× 17 1.0× 21 1.5× 14 1.3× 9 1.1× 9 61
Asad Ali 20 1.1× 11 0.6× 24 1.7× 12 1.1× 5 0.6× 14 46
Shailja Gupta 14 0.8× 19 1.1× 14 1.0× 5 0.5× 5 0.6× 8 42
Michael Richardson 10 0.6× 17 1.0× 28 2.0× 9 0.8× 3 0.4× 10 44
Gerhard de Koning Gans 19 1.1× 19 1.1× 21 1.5× 7 0.6× 2 0.3× 7 42
Simon Josefsson 19 1.1× 17 1.0× 50 3.6× 6 0.5× 6 0.8× 11 64
Sven Schäge 27 1.5× 45 2.6× 21 1.5× 5 0.5× 10 1.3× 8 52
Herun Wan 37 2.1× 15 0.9× 14 1.0× 19 1.7× 27 3.4× 8 45

Countries citing papers authored by Vinod Mahor

Since Specialization
Citations

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

Fields of papers citing papers by Vinod Mahor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod Mahor

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