Dan Geer
Impact in
- Information Systems top 1%
- Information and Cyber Security
- Cybercrime and Law Enforcement Studies
- Spam and Phishing Detection
- Software Engineering Research
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- Network Security and Intrusion Detection
Papers in
-
- Information and Cyber Security 12
- Service-Oriented Architecture and Web Services 3
- Cybercrime and Law Enforcement Studies 3
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- Network Security and Intrusion Detection 13
- Distributed and Parallel Computing Systems 3
- Co-authors
- Bob Blakley (2 shared papers)Aviel D. Rubin (2 shared papers)Eric Jardine (3 shared papers)John Speed Meyers (2 shared papers)Michel Chartrain (1 shared paper)Bertrand Meyer (1 shared paper)Yong Wang (1 shared paper)Dan Conway (2 shared papers)
- Journals
- Computer (26 papers)IEEE Security & Privacy (8 papers)Inflammation Research (1 paper)PDA Journal of Pharmaceutical Science and Technology (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Dan Geer
49 papers receiving 775 citations
Peers
Comparison fields: 5 of 86
- Information Systems 519
- Computer Networks and Communications 445
- Signal Processing 199
- Software 53
- Artificial Intelligence 219
Countries citing papers authored by Dan Geer
This map shows the geographic impact of Dan Geer'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 Dan Geer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Geer more than expected).
Fields of papers citing papers by Dan Geer
This network shows the impact of papers produced by Dan Geer. 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 Dan Geer. The network helps show where Dan Geer may publish in the future.
Co-authors
The 13 scholars most cited alongside Dan Geer, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 144 | |
| 2 | 2005 | 67 | |
| 3 | 2003 | 54 | |
| 4 | 2003 | 51 | |
| 5 | 2005 | 48 | |
| 6 | 1998 | 47 | |
| 7 | 2005 | 43 | |
| 8 | 1998 | 42 | |
| 9 | 1990 | 38 | |
| 10 | 2005 | 37 | |
| 11 | 2020 | 31 | |
| 12 | 2003 | 29 | |
| 13 | 2006 | 28 | |
| 14 | 2005 | 28 | |
| 15 | 2001 | 25 | |
| 16 | 2004 | 22 | |
| 17 | 2005 | 18 | |
| 18 | 2006 | 18 | |
| 19 | 2006 | 13 | |
| 20 | 2004 | 12 |
About Dan Geer
Dan Geer is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Information Systems and Management, having authored 55 papers that have together received 918 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Information and Cyber Security (12 papers), Advanced Malware Detection Techniques (7 papers), Distributed and Parallel Computing Systems (3 papers), Scientific Computing and Data Management (3 papers), Complex Network Analysis Techniques (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Cybercrime and Law Enforcement Studies (3 papers). The work is most often cited by research in Information Systems (519 citations), Computer Networks and Communications (445 citations), Signal Processing (199 citations), Software (53 citations) and Artificial Intelligence (219 citations). Dan Geer has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Bob Blakley, Aviel D. Rubin, Eric Jardine, John Speed Meyers, Michel Chartrain, Bertrand Meyer, Yong Wang, Dan Conway, Beth Junker and Ankit Gangwal. Their work appears in journals such as Computer, IEEE Security & Privacy, Inflammation Research, PDA Journal of Pharmaceutical Science and Technology and Communications of the ACM.
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.