Anoop Singhal

3.6k citations
139 papers · 2.8k · h-index 25

Impact in

Papers in

Anoop Singhal

130 papers receiving 2.6k citations

Peers

Anoop Singhal
Comparison fields: 5 of 70
  • Signal Processing 1.2k
  • Information Systems 2.2k
  • Computer Networks and Communications 2.1k
  • Software 234
  • Artificial Intelligence 425
Replace Marc Daciér with:
Marc Daciér France
Natalia Stakhanova Canada
Frederick T. Sheldon United States
Massimiliano Albanese United States
Sal Stolfo United States
Alessio Merlo Italy
Xiaohong Li China
Yingnong Dang United States
Roberto Perdisci United States
Sandro Etalle Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Anoop Singhal

Since Specialization
Citations

This map shows the geographic impact of Anoop Singhal'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 Anoop Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anoop Singhal more than expected).

Fields of papers citing papers by Anoop Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anoop Singhal. 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 Anoop Singhal. The network helps show where Anoop Singhal may publish in the future.

Co-authors

The 25 scholars most cited alongside Anoop Singhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anoop Singhal Line = papers co-authored together Anoop Singhal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008298
2 2008196
3 2013136
4 2007121
5 2018115
6
Measuring Security Risk of Networks Using Attack Graphs
2010104
7 2016103
8 201399
9 200798
10 201081
11 201775
12 201156
13 201356
14 201454
15
Simulation-based Approaches to Studying Effectiveness of Moving-Target Network Defense | NIST
201253
16 201250
17 201148
18 201335
19 201434
20 201332

About Anoop Singhal

Anoop Singhal is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 139 papers that have together received 2.8k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (84 papers), Information and Cyber Security (74 papers), Advanced Malware Detection Techniques (57 papers), Digital and Cyber Forensics (12 papers), Software System Performance and Reliability (9 papers), Cloud Data Security Solutions (8 papers), Data Quality and Management (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Signal Processing (1.2k citations), Information Systems (2.2k citations), Computer Networks and Communications (2.1k citations), Software (234 citations) and Artificial Intelligence (425 citations). Anoop Singhal has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include Sushil Jajodia, Lingyu Wang, Xinming Ou, Steven Noel, Tania Islam, Tao Long, Duminda Wijesekera, Xiaoyan Sun, Peng Liu and Changwei Liu. Their work appears in journals such as Journal of Computer Security, Computer, IEEE Transactions on Dependable and Secure Computing, Lecture notes in computer science and IEEE Transactions on Information Forensics and Security.

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.

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