Kevin S. Killourhy
- Information Systems top 1%
- Signal Processing top 2%
- Human-Computer Interaction top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Topics
- User Authentication and Security Systems (6 papers)Advanced Malware Detection Techniques (5 papers)Biometric Identification and Security (2 papers)
- Journals
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- United States
In The Last Decade
Kevin S. Killourhy
12 papers receiving 531 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Information Systems 476
- Signal Processing 422
- Human-Computer Interaction 149
- Computer Networks and Communications 99
- Artificial Intelligence 94
Countries citing papers authored by Kevin S. Killourhy
This map shows the geographic impact of Kevin S. Killourhy'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 Kevin S. Killourhy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin S. Killourhy more than expected).
Fields of papers citing papers by Kevin S. Killourhy
This network shows the impact of papers produced by Kevin S. Killourhy. 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 Kevin S. Killourhy. The network helps show where Kevin S. Killourhy may publish in the future.
Co-authorship network of co-authors of Kevin S. Killourhy
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin S. Killourhy. A scholar is included among the top collaborators of Kevin S. Killourhy 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 Kevin S. Killourhy. Kevin S. Killourhy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | A scientific understanding of keystroke dynamics | 23 |
| 3 | Why did my detector do that?!: predicting keystroke-dynamics error rates | 43 |
| 4 | 53 | |
| 5 | 4 | |
| 6 | Comparing anomaly-detection algorithms for keystroke dynamicsbreakdown → | 345 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 40 | |
| 12 | Undermining an Anomaly-Based Intrusion Detection System Using Common Exploits | 10 |
About Kevin S. Killourhy
Kevin S. Killourhy is a scholar working on Signal Processing, Human-Computer Interaction and Information Systems, having authored 12 papers that have together received 581 indexed citations. Recurring topics across this work include User Authentication and Security Systems (6 papers), Advanced Malware Detection Techniques (5 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Signal Processing (422 citations), Human-Computer Interaction (149 citations) and Information Systems (476 citations). Kevin S. Killourhy has collaborated with scholars based in United States. Frequent co-authors include Roy A. Maxion, Kymie Tan, David Banks and Leanna House. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.