Matthew Glickman
Impact in
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- Network Security and Intrusion Detection
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
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- Metaheuristic Optimization Algorithms Research 5
- Evolutionary Algorithms and Applications 5
- Reinforcement Learning in Robotics 2
- Anomaly Detection Techniques and Applications 2
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- Network Security and Intrusion Detection 4
- Co-authors
- Justin Balthrop (4 shared papers)Stephanie Forrest (4 shared papers)Katia Sycara (6 shared papers)Fernando Esponda (1 shared paper)Patrick Xavier (2 shared papers)Stephen Verzi (2 shared papers)Michael L. Bernard (2 shared papers)J. R. Lewis (1 shared paper)
- Journals
- Evolutionary Computation (1 paper)Genetic and Evolutionary Computation Conference (2 papers)Proceedings of the Human Factors and Ergonomics Society Annual Meeting (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (3 papers)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Matthew Glickman
13 papers receiving 211 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 95
- Artificial Intelligence 115
- Biomedical Engineering 145
- Signal Processing 35
- Computational Theory and Mathematics 19
Countries citing papers authored by Matthew Glickman
This map shows the geographic impact of Matthew Glickman'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 Matthew Glickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Glickman more than expected).
Fields of papers citing papers by Matthew Glickman
This network shows the impact of papers produced by Matthew Glickman. 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 Matthew Glickman. The network helps show where Matthew Glickman may publish in the future.
Co-authors
The 13 scholars most cited alongside Matthew Glickman, 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 | Coverage and generalization in an artificial immune system | 2002 | 80 |
| 2 | 2003 | 58 | |
| 3 | 2005 | 37 | |
| 4 | 2002 | 25 | |
| 5 | 2005 | 13 | |
| 6 | 2008 | 13 | |
| 7 | 2001 | 9 | |
| 8 | Evolutionary Algorithms: Exploring the Dynamics of Self-Adaptation | 1999 | 7 |
| 9 | Evolution of goal-directed behavior from limited information in a complex environment | 1999 | 5 |
| 10 | 2017 | 5 | |
| 11 | 2005 | 2 | |
| 12 | Comparing Mechanisms for Evolving Evolvability | 1999 | 2 |
| 13 | Self-adaptation of mutation rates and dynamic fitness | 1996 | 1 |
| 14 | Using a Hybrid Cognitive-System Dynamics Model to Anticipate the Influence of Events and Actions on Human Behaviors. | 2016 | 0 |
| 15 | Trainable automated forces. | 2010 | 0 |
About Matthew Glickman
Matthew Glickman is a scholar working on Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering, Genetics and Molecular Biology, having authored 15 papers that have together received 257 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers), Network Security and Intrusion Detection (4 papers), Artificial Immune Systems Applications (4 papers), Reinforcement Learning in Robotics (2 papers), Anomaly Detection Techniques and Applications (2 papers), Evolution and Genetic Dynamics (2 papers) and Evolutionary Game Theory and Cooperation (1 paper). The work is most often cited by research in Computer Networks and Communications (95 citations), Artificial Intelligence (115 citations), Biomedical Engineering (145 citations), Signal Processing (35 citations) and Computational Theory and Mathematics (19 citations). Matthew Glickman has collaborated with scholars based in United States and France. Frequent co-authors include Justin Balthrop, Stephanie Forrest, Katia Sycara, Fernando Esponda, Patrick Xavier, Stephen Verzi, Michael L. Bernard, J. R. Lewis, Justin Winokur and Bonnie R. Antoun. Their work appears in journals such as Evolutionary Computation, Genetic and Evolutionary Computation Conference, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and International Conference on Machine Learning.
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.