D. G. Narayan
Impact in
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- IoT and Edge/Fog Computing 25
- Network Security and Intrusion Detection 24
- Software-Defined Networks and 5G 23
- Mobile Ad Hoc Networks 13
- Cooperative Communication and Network Coding 12
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- Blockchain Technology Applications and Security 19
- Cloud Computing and Resource Management 18
- Co-authors
- Mohammed Moin Mulla (15 shared papers)Meena S.M. (2 shared papers)Prashant Narayankar (1 shared paper)Priyadarshini Patil (1 shared paper)Vishwanath P. Baligar (2 shared papers)P. S. Hiremath (4 shared papers)Uma M (5 shared papers)Amit Kumar Jha (1 shared paper)
In The Last Decade
D. G. Narayan
63 papers receiving 896 citations
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 674
- Signal Processing 203
- Information Systems 296
- Artificial Intelligence 410
- Computer Vision and Pattern Recognition 150
Countries citing papers authored by D. G. Narayan
This map shows the geographic impact of D. G. Narayan'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 D. G. Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. G. Narayan more than expected).
Fields of papers citing papers by D. G. Narayan
This network shows the impact of papers produced by D. G. Narayan. 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 D. G. Narayan. The network helps show where D. G. Narayan may publish in the future.
Co-authors
The 16 scholars most cited alongside D. G. Narayan, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 232 | |
| 2 | 2020 | 94 | |
| 3 | 2017 | 79 | |
| 4 | 2020 | 72 | |
| 5 | 2016 | 69 | |
| 6 | 2018 | 45 | |
| 7 | 2020 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 21 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2013 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2012 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 10 |
About D. G. Narayan
D. G. Narayan is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 960 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (25 papers), Network Security and Intrusion Detection (24 papers), Software-Defined Networks and 5G (23 papers), Blockchain Technology Applications and Security (19 papers), Cloud Computing and Resource Management (18 papers), Internet Traffic Analysis and Secure E-voting (16 papers), Mobile Ad Hoc Networks (13 papers) and Cooperative Communication and Network Coding (12 papers). The work is most often cited by research in Computer Networks and Communications (674 citations), Signal Processing (203 citations), Information Systems (296 citations), Artificial Intelligence (410 citations) and Computer Vision and Pattern Recognition (150 citations). D. G. Narayan has collaborated with scholars based in India and Canada. Frequent co-authors include Mohammed Moin Mulla, Meena S.M., Prashant Narayankar, Priyadarshini Patil, Vishwanath P. Baligar, P. S. Hiremath, Uma M, Amit Kumar Jha, Caitlyn Vlasschaert and Andrew G. Day. Their work appears in journals such as Arabian Journal for Science and Engineering, Journal of High Speed Networks, Computers & Electrical Engineering, Critical Care Medicine and International Journal of Ad Hoc and Ubiquitous Computing.
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.