Debra L. Cook
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Angelos D. KeromytisVishal MisraDan RubensteinAngelos StavrouVijay K. GurbaniMoti YungDannielle Joy DavisEuthimios Panagos
- Topics
- Internet Traffic Analysis and Secure E-voting (5 papers)Network Security and Intrusion Detection (5 papers)Chaos-based Image/Signal Encryption (4 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Debra L. Cook
13 papers receiving 191 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 177
- Artificial Intelligence 149
- Signal Processing 92
- Information Systems 57
- Computer Vision and Pattern Recognition 17
Countries citing papers authored by Debra L. Cook
This map shows the geographic impact of Debra L. Cook'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 Debra L. Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra L. Cook more than expected).
Fields of papers citing papers by Debra L. Cook
This network shows the impact of papers produced by Debra L. Cook. 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 Debra L. Cook. The network helps show where Debra L. Cook may publish in the future.
Co-authorship network of co-authors of Debra L. Cook
This figure shows the co-authorship network connecting the top 25 collaborators of Debra L. Cook. A scholar is included among the top collaborators of Debra L. Cook 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 Debra L. Cook. Debra L. Cook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Women Educational Leaders' Narratives: The Dynamics of Service Learning on Training and Transformation | 3 |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | CryptoGraphics: Exploiting Graphics Cards For Security (Advances in Information Security) | 2 |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 37 | |
| 10 | 19 | |
| 11 | 8 | |
| 12 | 114 | |
| 13 | 3 |
About Debra L. Cook
Debra L. Cook is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 13 papers that have together received 216 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (5 papers), Network Security and Intrusion Detection (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Signal Processing (92 citations), Computer Networks and Communications (177 citations) and Artificial Intelligence (149 citations). Debra L. Cook has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Angelos D. Keromytis, Vishal Misra, Dan Rubenstein, Angelos Stavrou, Vijay K. Gurbani, Moti Yung, Dannielle Joy Davis, Euthimios Panagos and Giovanni Di Crescenzo. Their work appears in journals such as Computer Networks, Journal of Computer Security and Security and Communication Networks.
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.