Tom Longstaff
Impact in
- Information Systems top 5%
- Information and Cyber Security
- Cybercrime and Law Enforcement Studies
- Software Engineering Research
- Software Engineering Techniques and Practices
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Information and Cyber Security 6
-
- Network Security and Intrusion Detection 2
- Co-authors
- Bradford J. Wood (1 shared paper)Mark T. Maybury (1 shared paper)Robert H. Anderson (2 shared papers)John B. Goodenough (1 shared paper)Mark Klein (1 shared paper)Peter H. Feiler (1 shared paper)Linda Northrop (1 shared paper)R.C. Linger (1 shared paper)
- Journals
- IEEE Security & Privacy (1 paper)Figshare (1 paper)RAND Corporation eBooks (1 paper)Defense Technical Information Center (DTIC) (2 papers)
- Partner nations
- United States
In The Last Decade
Tom Longstaff
8 papers receiving 131 citations
Peers
Comparison fields: 5 of 39
- Information Systems 110
- Signal Processing 45
- Computer Networks and Communications 80
- Software 12
- Artificial Intelligence 31
Countries citing papers authored by Tom Longstaff
This map shows the geographic impact of Tom Longstaff'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 Tom Longstaff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Longstaff more than expected).
Fields of papers citing papers by Tom Longstaff
This network shows the impact of papers produced by Tom Longstaff. 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 Tom Longstaff. The network helps show where Tom Longstaff may publish in the future.
Co-authors
The 16 scholars most cited alongside Tom Longstaff, 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 | Analysis and Detection of Malicious Insiders | 2005 | 67 |
| 2 | 2018 | 47 | |
| 3 | Research on Mitigating the Insider Threat to Information Systems - #2 | 2000 | 28 |
| 4 | 2010 | 9 | |
| 5 | 2000 | 3 | |
| 6 | CERT Experience with Security Problems in Software | 2003 | 2 |
| 7 | Build Secure Application with DevSecOps | 2018 | 1 |
| 8 | 2021 | 1 |
About Tom Longstaff
Tom Longstaff is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Political Science and International Relations and Management Information Systems, having authored 8 papers that have together received 158 indexed citations. Recurring topics across this work include Information and Cyber Security (6 papers), Advanced Malware Detection Techniques (2 papers), Network Security and Intrusion Detection (2 papers), Crime Patterns and Interventions (1 paper), Scientific Computing and Data Management (1 paper), Cybersecurity and Cyber Warfare Studies (1 paper), Terrorism, Counterterrorism, and Political Violence (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Information Systems (110 citations), Signal Processing (45 citations), Computer Networks and Communications (80 citations), Software (12 citations) and Artificial Intelligence (31 citations). Tom Longstaff has collaborated with scholars based in United States. Frequent co-authors include Bradford J. Wood, Mark T. Maybury, Robert H. Anderson, John B. Goodenough, Mark Klein, Peter H. Feiler, Linda Northrop, R.C. Linger, Kevin Sullivan and Kurt Wallnau. Their work appears in journals such as IEEE Security & Privacy, Figshare, RAND Corporation eBooks and Defense Technical Information Center (DTIC).
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.