Sunil B. Mane
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
Papers in
-
- Blockchain Technology Applications and Security 8
- Spam and Phishing Detection 6
- User Authentication and Security Systems 4
- Cloud Data Security Solutions 4
- Co-authors
- Parag Verma (1 shared paper)M. Balasubramanian (1 shared paper)Pradeep K. Sinha (3 shared papers)Ameya Apte (1 shared paper)
- Journals
- IET Information Security (1 paper)ICT Express (1 paper)Future Internet (1 paper)Advances in intelligent systems and computing (3 papers)Smart innovation, systems and technologies (1 paper)
- Partner nations
- India
In The Last Decade
Sunil B. Mane
29 papers receiving 245 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 55
- Computer Networks and Communications 82
- Computer Vision and Pattern Recognition 63
- Information Systems 62
- Artificial Intelligence 88
Countries citing papers authored by Sunil B. Mane
This map shows the geographic impact of Sunil B. Mane'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 Sunil B. Mane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil B. Mane more than expected).
Fields of papers citing papers by Sunil B. Mane
This network shows the impact of papers produced by Sunil B. Mane. 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 Sunil B. Mane. The network helps show where Sunil B. Mane may publish in the future.
Co-authors
The 4 scholars most cited alongside Sunil B. Mane, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 57 | |
| 2 | 2023 | 23 | |
| 3 | Bluetooth Communication using Hybrid Encryption Algorithm based on AES and RSA | 2013 | 23 |
| 4 | 2016 | 20 | |
| 5 | 2023 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2015 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2012 | 3 |
About Sunil B. Mane
Sunil B. Mane is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 42 papers that have together received 262 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), Advanced Malware Detection Techniques (7 papers), Spam and Phishing Detection (6 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (5 papers), Network Security and Intrusion Detection (5 papers), User Authentication and Security Systems (4 papers) and Cloud Data Security Solutions (4 papers). The work is most often cited by research in Signal Processing (55 citations), Computer Networks and Communications (82 citations), Computer Vision and Pattern Recognition (63 citations), Information Systems (62 citations) and Artificial Intelligence (88 citations). Sunil B. Mane has collaborated with scholars based in India. Frequent co-authors include Parag Verma, M. Balasubramanian, Pradeep K. Sinha and Ameya Apte. Their work appears in journals such as IET Information Security, ICT Express, Future Internet, Advances in intelligent systems and computing and Smart innovation, systems and technologies.
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.