Manu Vardhan
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Evolutionary Algorithms and Applications 8
- Cryptography and Data Security 6
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- Network Security and Intrusion Detection 13
- Co-authors
- Alok Kumar Shukla (13 shared papers)Pradeep Singh (12 shared papers)Sarsij Tripathi (11 shared papers)Vikas Sihag (7 shared papers)Pradeep Kumar Singh (6 shared papers)Nikita Singh (5 shared papers)Gaurav Choudhary (4 shared papers)Pankaj Chauhan (1 shared paper)
In The Last Decade
Manu Vardhan
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Signal Processing 265
- Computer Networks and Communications 464
- Artificial Intelligence 622
- Information Systems 328
- Software 49
Countries citing papers authored by Manu Vardhan
This map shows the geographic impact of Manu Vardhan'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 Manu Vardhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manu Vardhan more than expected).
Fields of papers citing papers by Manu Vardhan
This network shows the impact of papers produced by Manu Vardhan. 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 Manu Vardhan. The network helps show where Manu Vardhan may publish in the future.
Co-authors
The 23 scholars most cited alongside Manu Vardhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2019 | 94 | |
| 3 | 2019 | 79 | |
| 4 | 2023 | 66 | |
| 5 | 2020 | 66 | |
| 6 | 2018 | 61 | |
| 7 | 2018 | 59 | |
| 8 | 2021 | 57 | |
| 9 | 2021 | 56 | |
| 10 | 2019 | 51 | |
| 11 | 2019 | 49 | |
| 12 | 2020 | 43 | |
| 13 | 2020 | 39 | |
| 14 | De-LADY: Deep learning based Android malware detection using Dynamic features. | 2021 | 31 |
| 15 | 2021 | 31 | |
| 16 | 2019 | 30 | |
| 17 | 2019 | 29 | |
| 18 | 2022 | 27 | |
| 19 | 2022 | 25 | |
| 20 | 2020 | 25 |
About Manu Vardhan
Manu Vardhan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Molecular Biology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Cloud Computing and Resource Management (11 papers), Advanced Malware Detection Techniques (11 papers), Gene expression and cancer classification (8 papers), Evolutionary Algorithms and Applications (8 papers), Smart Agriculture and AI (7 papers), Cryptography and Data Security (6 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Signal Processing (265 citations), Computer Networks and Communications (464 citations), Artificial Intelligence (622 citations), Information Systems (328 citations) and Software (49 citations). Manu Vardhan has collaborated with scholars based in India, Denmark and China. Frequent co-authors include Alok Kumar Shukla, Pradeep Singh, Sarsij Tripathi, Vikas Sihag, Pradeep Kumar Singh, Nikita Singh, Gaurav Choudhary, Pankaj Chauhan, Dharmaveer Singh and Shiyin Liu. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Computing, Chemometrics and Intelligent Laboratory Systems, Applied Sciences and Swarm and Evolutionary Computation.
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.