Jared Sylvester
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Neural Networks and Applications 4
- Adversarial Robustness in Machine Learning 3
- Neural Networks and Reservoir Computing 3
- Anomaly Detection Techniques and Applications 2
- Explainable Artificial Intelligence (XAI) 2
-
- Neural dynamics and brain function 5
- Neural and Behavioral Psychology Studies 2
- Co-authors
- Edward Raff (5 shared papers)Nitesh V. Chawla (2 shared papers)Mark McLean (2 shared papers)James A. Reggia (6 shared papers)Charles Nicholas (1 shared paper)Richard Zak (1 shared paper)Steven Mills (1 shared paper)William Rand (3 shared papers)
- Journals
- Neural Networks (2 papers)Journal of Computer Virology and Hacking Techniques (1 paper)Neural Computation (1 paper)Lecture notes in computer science (1 paper)Frontiers in artificial intelligence and applications (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Jared Sylvester
16 papers receiving 379 citations
Peers
Comparison fields: 5 of 61
- Signal Processing 136
- Artificial Intelligence 261
- Computer Networks and Communications 113
- Software 18
- Health Informatics 4
Countries citing papers authored by Jared Sylvester
This map shows the geographic impact of Jared Sylvester'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 Jared Sylvester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Sylvester more than expected).
Fields of papers citing papers by Jared Sylvester
This network shows the impact of papers produced by Jared Sylvester. 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 Jared Sylvester. The network helps show where Jared Sylvester may publish in the future.
Co-authors
The 11 scholars most cited alongside Jared Sylvester, 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 | 2016 | 123 | |
| 2 | 2019 | 83 | |
| 3 | 2007 | 41 | |
| 4 | 2018 | 31 | |
| 5 | 2006 | 30 | |
| 6 | 2013 | 18 | |
| 7 | 2016 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2013 | 12 | |
| 10 | The Computational Explanatory Gap | 2014 | 12 |
| 11 | 2011 | 4 | |
| 12 | 2009 | 4 | |
| 13 | A Simple Oscillatory Short-Term Memory. | 2009 | 3 |
| 14 | 2018 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2013 | 1 |
About Jared Sylvester
Jared Sylvester is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Safety Research, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 401 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Neural Networks and Applications (4 papers), Adversarial Robustness in Machine Learning (3 papers), Neural Networks and Reservoir Computing (3 papers), Neural and Behavioral Psychology Studies (2 papers), Anomaly Detection Techniques and Applications (2 papers), Ethics and Social Impacts of AI (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Signal Processing (136 citations), Artificial Intelligence (261 citations), Computer Networks and Communications (113 citations), Software (18 citations) and Health Informatics (4 citations). Jared Sylvester has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Edward Raff, Nitesh V. Chawla, Mark McLean, James A. Reggia, Charles Nicholas, Richard Zak, Steven Mills, William Rand, Michelle Girvan and Chen Wang. Their work appears in journals such as Neural Networks, Journal of Computer Virology and Hacking Techniques, Neural Computation, Lecture notes in computer science and Frontiers in artificial intelligence and applications.
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.