Chris Gates
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
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- Spam and Phishing Detection 2
- Web Data Mining and Analysis 2
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- Advanced Malware Detection Techniques 5
- Co-authors
- Rahul Potharaju (3 shared papers)Cristina Nita-Rotaru (3 shared papers)Ian Molloy (3 shared papers)Ninghui Li (3 shared papers)Yuan Qi (2 shared papers)Hao Peng (2 shared papers)Kevin Roundy (3 shared papers)Peter Ulintz (1 shared paper)
- Journals
- Journal of Biomolecular Techniques JBT (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Methods in molecular biology (2 papers)
- Partner nations
- United States
In The Last Decade
Chris Gates
9 papers receiving 525 citations
Chris Gates's Hit Papers
Peers
Comparison fields: 5 of 57
- Software 203
- Signal Processing 476
- Computer Networks and Communications 333
- Information Systems 278
- Artificial Intelligence 81
Countries citing papers authored by Chris Gates
This map shows the geographic impact of Chris Gates'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 Chris Gates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Gates more than expected).
Fields of papers citing papers by Chris Gates
This network shows the impact of papers produced by Chris Gates. 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 Chris Gates. The network helps show where Chris Gates may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Gates, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Using probabilistic generative models for ranking risks of Android apps Hit paper breakdown → | 2012 | 260 |
| 2 | 2012 | 195 | |
| 3 | 2017 | 35 | |
| 4 | 2018 | 31 | |
| 5 | 2017 | 30 | |
| 6 | 2017 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2020 | 2 | |
| 9 | Using probabilistic generative models for ranking risks of android apps | 2013 | 1 |
About Chris Gates
Chris Gates is a scholar working on Information Systems, Signal Processing, Computer Networks and Communications, Information Systems and Management and Cancer Research, having authored 9 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (3 papers), Cancer Genomics and Diagnostics (2 papers), Spam and Phishing Detection (2 papers), Scientific Computing and Data Management (2 papers), Web Data Mining and Analysis (2 papers), Complex Network Analysis Techniques (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Software (203 citations), Signal Processing (476 citations), Computer Networks and Communications (333 citations), Information Systems (278 citations) and Artificial Intelligence (81 citations). Chris Gates has collaborated with scholars based in United States. Frequent co-authors include Rahul Potharaju, Cristina Nita-Rotaru, Ian Molloy, Ninghui Li, Yuan Qi, Hao Peng, Kevin Roundy, Peter Ulintz, Wei-Sheng Wu and Yevgeniy Vorobeychik. Their work appears in journals such as Journal of Biomolecular Techniques JBT, IEEE Transactions on Visualization and Computer Graphics and Methods in molecular biology.
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.