Dan Geer
Impact in
- Information Systems top 1%
- Information and Cyber Security
- Cybercrime and Law Enforcement Studies
- Spam and Phishing Detection
- Software Engineering Research
-
- 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
-
- 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)Dan Conway (2 shared papers)Michel Chartrain (1 shared paper)Beth Junker (1 shared paper)Bertrand Meyer (1 shared paper)
- Journals
- Computer (26 papers)IEEE Security & Privacy (8 papers)Queue (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
52 papers receiving 923 citations
Peers
Comparison fields: 5 of 88
- Information Systems 600
- Computer Networks and Communications 528
- Signal Processing 243
- Software 60
- Artificial Intelligence 256
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 166 | |
| 2 | 2005 | 76 | |
| 3 | 2003 | 72 | |
| 4 | 2003 | 59 | |
| 5 | 1998 | 57 | |
| 6 | 2005 | 55 | |
| 7 | 1998 | 51 | |
| 8 | 2005 | 51 | |
| 9 | 1990 | 45 | |
| 10 | 2005 | 40 | |
| 11 | 2020 | 35 | |
| 12 | 2003 | 35 | |
| 13 | 2006 | 34 | |
| 14 | 2005 | 29 | |
| 15 | 2001 | 28 | |
| 16 | 2004 | 25 | |
| 17 | 2004 | 20 | |
| 18 | 2005 | 19 | |
| 19 | 2006 | 18 | |
| 20 | 2006 | 14 |
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 57 papers that have together received 1.1k 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), Service-Oriented Architecture and Web Services (3 papers), Cybercrime and Law Enforcement Studies (3 papers), Scientific Computing and Data Management (3 papers), Complex Network Analysis Techniques (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Information Systems (600 citations), Computer Networks and Communications (528 citations), Signal Processing (243 citations), Software (60 citations) and Artificial Intelligence (256 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, Dan Conway, Michel Chartrain, Beth Junker, Bertrand Meyer, Yong Wang and Paul A. J. Henricks. Their work appears in journals such as Computer, IEEE Security & Privacy, Queue, 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.