Nabíl Schear
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
-
- Internet Traffic Analysis and Secure E-voting 7
- Security and Verification in Computing 5
- Cryptography and Data Security 4
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- Network Security and Intrusion Detection 6
- Network Traffic and Congestion Control 3
- Co-authors
- Nikita Borisov (3 shared papers)Emily Shen (4 shared papers)Arkady Yerukhimovich (5 shared papers)Sophia Yakoubov (5 shared papers)Thomas Moyer (5 shared papers)Vijay Gadepally (2 shared papers)Samuel T. King (1 shared paper)Negar Kiyavash (1 shared paper)
- Journals
- Big Data (2 papers)ACM SIGPLAN Notices (1 paper)Lecture notes in computer science (2 papers)SIMULATION (1 paper)
- Partner nations
- United StatesVietnam
In The Last Decade
Nabíl Schear
20 papers receiving 301 citations
Peers
Comparison fields: 5 of 28
- Signal Processing 130
- Computer Networks and Communications 173
- Artificial Intelligence 231
- Information Systems 143
- Hardware and Architecture 23
Countries citing papers authored by Nabíl Schear
This map shows the geographic impact of Nabíl Schear'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 Nabíl Schear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabíl Schear more than expected).
Fields of papers citing papers by Nabíl Schear
This network shows the impact of papers produced by Nabíl Schear. 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 Nabíl Schear. The network helps show where Nabíl Schear may publish in the future.
Co-authors
The 25 scholars most cited alongside Nabíl Schear, 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 | 2009 | 52 | |
| 2 | 2014 | 49 | |
| 3 | 2012 | 36 | |
| 4 | 2016 | 32 | |
| 5 | 2017 | 31 | |
| 6 | 2010 | 27 | |
| 7 | Glavlit: Preventing Exfiltration at Wire Speed. | 2006 | 21 |
| 8 | 2008 | 17 | |
| 9 | 2016 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2009 | 7 | |
| 13 | 2008 | 7 | |
| 14 | Secure and Resilient Cloud Computing for the Department of Defense | 2015 | 3 |
| 15 | Automated Provenance Analytics: A Regular Grammar Based Approach with Applications in Security. | 2017 | 2 |
| 16 | 2016 | 2 | |
| 17 | 2010 | 1 | |
| 18 | Preventing encrypted traffic analysis | 2011 | 1 |
| 19 | Security and Privacy Assurance Research (SPAR) Pilot Final Report | 2015 | 1 |
| 20 | 2016 | 1 |
About Nabíl Schear
Nabíl Schear is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Information Systems and Management, having authored 20 papers that have together received 317 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (7 papers), Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (6 papers), Cloud Data Security Solutions (5 papers), Security and Verification in Computing (5 papers), Cryptography and Data Security (4 papers), Scientific Computing and Data Management (3 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Signal Processing (130 citations), Computer Networks and Communications (173 citations), Artificial Intelligence (231 citations), Information Systems (143 citations) and Hardware and Architecture (23 citations). Nabíl Schear has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Nikita Borisov, Emily Shen, Arkady Yerukhimovich, Sophia Yakoubov, Thomas Moyer, Vijay Gadepally, Samuel T. King, Negar Kiyavash, Xun Gong and David M. Nicol. Their work appears in journals such as Big Data, ACM SIGPLAN Notices, Lecture notes in computer science and SIMULATION.
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.