David Gresty
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 5%
- Digital and Cyber Forensics
- Cloud Data Security Solutions
- Cybercrime and Law Enforcement Studies
- User Authentication and Security Systems
Papers in
-
- Digital and Cyber Forensics 17
- Cybercrime and Law Enforcement Studies 8
- Information and Cyber Security 4
- Spam and Phishing Detection 2
-
- Advanced Malware Detection Techniques 11
- Co-authors
- Mark Taylor (17 shared papers)J. S. Haggerty (13 shared papers)David Lamb (1 shared paper)Robert Hegarty (1 shared paper)Peter R. Almond (3 shared papers)M. Merabti (1 shared paper)David England (1 shared paper)Diane Gan (6 shared papers)
- Journals
- Systems Research and Behavioral Science (2 papers)Information and Software Technology (1 paper)Digital Investigation (1 paper)Journal of Further and Higher Education (1 paper)Active Learning in Higher Education (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
David Gresty
25 papers receiving 239 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 144
- Information Systems 226
- Safety Research 19
- Computer Vision and Pattern Recognition 42
- Artificial Intelligence 60
Countries citing papers authored by David Gresty
This map shows the geographic impact of David Gresty'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 David Gresty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gresty more than expected).
Fields of papers citing papers by David Gresty
This network shows the impact of papers produced by David Gresty. 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 David Gresty. The network helps show where David Gresty may publish in the future.
Co-authors
The 18 scholars most cited alongside David Gresty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 80 | |
| 2 | 2010 | 70 | |
| 3 | 2014 | 22 | |
| 4 | 2006 | 21 | |
| 5 | 2001 | 9 | |
| 6 | 2005 | 9 | |
| 7 | 2007 | 8 | |
| 8 | 2015 | 6 | |
| 9 | 2012 | 6 | |
| 10 | 2010 | 6 | |
| 11 | 2008 | 6 | |
| 12 | 2010 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2009 | 5 | |
| 16 | 2005 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2001 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2004 | 2 |
About David Gresty
David Gresty is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 282 indexed citations. Recurring topics across this work include Digital and Cyber Forensics (17 papers), Advanced Malware Detection Techniques (11 papers), Cybercrime and Law Enforcement Studies (8 papers), Information and Cyber Security (4 papers), Digital Media Forensic Detection (3 papers), Stalking, Cyberstalking, and Harassment (2 papers), Network Security and Intrusion Detection (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Signal Processing (144 citations), Information Systems (226 citations), Safety Research (19 citations), Computer Vision and Pattern Recognition (42 citations) and Artificial Intelligence (60 citations). David Gresty has collaborated with scholars based in United Kingdom. Frequent co-authors include Mark Taylor, J. S. Haggerty, David Lamb, Robert Hegarty, Peter R. Almond, M. Merabti, David England, Diane Gan, Qi Shi and Paul Fergus. Their work appears in journals such as Systems Research and Behavioral Science, Information and Software Technology, Digital Investigation, Journal of Further and Higher Education and Active Learning in Higher Education.
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.