Sal Stolfo
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
-
- Information and Cyber Security 5
- Spam and Phishing Detection 3
- Data Mining Algorithms and Applications 2
- Cybercrime and Law Enforcement Studies 2
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- Network Security and Intrusion Detection 8
- Co-authors
- Eleazar Eskin (1 shared paper)Philip K. Chan (3 shared papers)Andreas L. Prodromidis (1 shared paper)Wenke Lee (3 shared papers)Matthew L. Miller (2 shared papers)David Evans (2 shared papers)Steven M. Bellovin (1 shared paper)Ang Cui (2 shared papers)
- Journals
- IEEE Security & Privacy (5 papers)Knowledge and Information Systems (1 paper)Knowledge Discovery and Data Mining (1 paper)IEEE Intelligent Systems and their Applications (1 paper)Columbia Academic Commons (Columbia University) (2 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Sal Stolfo
16 papers receiving 1.2k citations
Sal Stolfo's Hit Papers
Peers
Comparison fields: 5 of 73
- Signal Processing 755
- Computer Networks and Communications 862
- Software 108
- Information Systems 545
- Artificial Intelligence 765
Countries citing papers authored by Sal Stolfo
This map shows the geographic impact of Sal Stolfo'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 Sal Stolfo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sal Stolfo more than expected).
Fields of papers citing papers by Sal Stolfo
This network shows the impact of papers produced by Sal Stolfo. 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 Sal Stolfo. The network helps show where Sal Stolfo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sal Stolfo, 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 | Data mining methods for detection of new malicious executables Hit paper breakdown → | 2002 | 710 |
| 2 | 1999 | 341 | |
| 3 | 2004 | 147 | |
| 4 | 2011 | 35 | |
| 5 | 2002 | 33 | |
| 6 | 2012 | 32 | |
| 7 | 2003 | 22 | |
| 8 | 2004 | 15 | |
| 9 | 2011 | 13 | |
| 10 | 2010 | 13 | |
| 11 | Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining | 2000 | 8 |
| 12 | 2004 | 5 | |
| 13 | Data for Cybersecurity Research: Process and ‘Wish List’ | 2009 | 5 |
| 14 | 2002 | 2 | |
| 15 | 2012 | 2 | |
| 16 | 2002 | 1 |
About Sal Stolfo
Sal Stolfo is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Hardware and Architecture, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Information and Cyber Security (5 papers), Spam and Phishing Detection (3 papers), Advanced Malware Detection Techniques (3 papers), Data Mining Algorithms and Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Cybercrime and Law Enforcement Studies (2 papers) and Artificial Immune Systems Applications (2 papers). The work is most often cited by research in Signal Processing (755 citations), Computer Networks and Communications (862 citations), Software (108 citations), Information Systems (545 citations) and Artificial Intelligence (765 citations). Sal Stolfo has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Eleazar Eskin, Philip K. Chan, Andreas L. Prodromidis, Wenke Lee, Matthew L. Miller, David Evans, Steven M. Bellovin, Ang Cui, Junfeng Yang and Simha Sethumadhavan. Their work appears in journals such as IEEE Security & Privacy, Knowledge and Information Systems, Knowledge Discovery and Data Mining, IEEE Intelligent Systems and their Applications and Columbia Academic Commons (Columbia University).
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.