Donald G. Marks
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Atmospheric Science
- Computer Networks and Communications top 10%
- Co-authors
- Chris CliftonAlec YasinsacRobert F. ErbacherPeter SommerMark PollittPeter MellR. T. MerrillRobert W. Burpee
- Topics
- Network Security and Intrusion Detection (5 papers)Advanced Malware Detection Techniques (4 papers)Tropical and Extratropical Cyclones Research (3 papers)
- Journals
- Monthly Weather ReviewBulletin of the American Meteorological SocietyIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United States
In The Last Decade
Donald G. Marks
13 papers receiving 351 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 208
- Information Systems 176
- Signal Processing 93
- Atmospheric Science 73
- Computer Networks and Communications 71
Countries citing papers authored by Donald G. Marks
This map shows the geographic impact of Donald G. Marks'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 Donald G. Marks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald G. Marks more than expected).
Fields of papers citing papers by Donald G. Marks
This network shows the impact of papers produced by Donald G. Marks. 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 Donald G. Marks. The network helps show where Donald G. Marks may publish in the future.
Co-authorship network of co-authors of Donald G. Marks
This figure shows the co-authorship network connecting the top 25 collaborators of Donald G. Marks. A scholar is included among the top collaborators of Donald G. Marks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donald G. Marks. Donald G. Marks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Security trumps efficiency: putting it into the curriculum | 2 |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 91 | |
| 5 | 2 | |
| 6 | Denial of Service Resistant Intrusion Detection Architecture | 1 |
| 7 | 21 | |
| 8 | 13 | |
| 9 | SECURITY AND PRIVACY IMPLICATIONS OF DATA MINING | 176 |
| 10 | 29 | |
| 11 | Hypersemantic Data Modeling for Inference Analysis | 1 |
| 12 | The Beta and advection model for hurricane track forecasting | 55 |
| 13 | 17 | |
| 14 | 3 |
About Donald G. Marks
Donald G. Marks is a scholar working on Signal Processing, Computer Networks and Communications and Atmospheric Science, having authored 14 papers that have together received 420 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (4 papers) and Tropical and Extratropical Cyclones Research (3 papers). The work is most often cited by research in Signal Processing (93 citations), Information Systems (176 citations) and Artificial Intelligence (208 citations). Donald G. Marks has collaborated with scholars based in United States. Frequent co-authors include Chris Clifton, Alec Yasinsac, Robert F. Erbacher, Peter Sommer, Mark Pollitt, Peter Mell, R. T. Merrill, Robert W. Burpee, Bhavani Thuraisingham and Michael Stinson. Their work appears in journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and IEEE Transactions on Knowledge and Data Engineering.
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.