Emmanuel S. Pilli
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques 42
- Computer Networks and Communications top 0.5%
- Network Security and Intrusion Detection 42
- IoT and Edge/Fog Computing 20
- Information Systems top 0.5%
- Cloud Computing and Resource Management 16
- Digital and Cyber Forensics 14
- Cloud Data Security Solutions 10
- Spam and Phishing Detection 7
- Artificial Intelligence top 1%
- Internet Traffic Analysis and Secure E-voting 18
- Hardware and Architecture top 10%
- Co-authors
- Preeti MishraVijay VaradharajanUdaya TupakulaR. C. JoshiMahesh Chandra GovilRajdeep NiyogiGirdhari SinghArka Prokash Mazumdar
- Journals
- IEEE Communications Surveys & Tutorials (1 paper)IEEE Access (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Emmanuel S. Pilli
98 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Signal Processing 945
- Computer Networks and Communications 1.6k
- Information Systems 920
- Artificial Intelligence 1.0k
- Hardware and Architecture 42
Countries citing papers authored by Emmanuel S. Pilli
This map shows the geographic impact of Emmanuel S. Pilli'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 Emmanuel S. Pilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel S. Pilli more than expected).
Fields of papers citing papers by Emmanuel S. Pilli
This network shows the impact of papers produced by Emmanuel S. Pilli. 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 Emmanuel S. Pilli. The network helps show where Emmanuel S. Pilli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emmanuel S. Pilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 4 | |
| 11 | Survey of Peer-to-Peer Botnets and Detection Frameworks. | 2018 | 14 |
| 12 | 2018 | 0 | |
| 13 | 2017 | 16 | |
| 14 | 2015 | 5 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 13 | |
| 17 | 2014 | 2 | |
| 18 | A Generic Process Model for Botnet Forensic Analysis | 2013 | 6 |
| 19 | 2013 | 75 | |
| 20 | 2013 | 2 |
About Emmanuel S. Pilli
Emmanuel S. Pilli is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (42 papers), Advanced Malware Detection Techniques (42 papers), IoT and Edge/Fog Computing (20 papers), Internet Traffic Analysis and Secure E-voting (18 papers), Cloud Computing and Resource Management (16 papers), Digital and Cyber Forensics (14 papers), Cloud Data Security Solutions (10 papers) and Spam and Phishing Detection (7 papers). The work is most often cited by research in Signal Processing (945 citations), Computer Networks and Communications (1.6k citations) and Information Systems (920 citations). Emmanuel S. Pilli has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Preeti Mishra, Vijay Varadharajan, Udaya Tupakula, R. C. Joshi, Mahesh Chandra Govil, Rajdeep Niyogi, Girdhari Singh, Arka Prokash Mazumdar, Pankaj Kumar Keserwani and C. Rama Krishna. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Applied Soft 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.