Matthew Glickman

459 total citations
15 papers, 256 citations indexed

About

Matthew Glickman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Matthew Glickman has authored 15 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Biomedical Engineering. Recurrent topics in Matthew Glickman's work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Artificial Immune Systems Applications (4 papers). Matthew Glickman is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (5 papers) and Artificial Immune Systems Applications (4 papers). Matthew Glickman collaborates with scholars based in United States and France. Matthew Glickman's co-authors include Stephanie Forrest, Justin Balthrop, Katia Sycara, Fernando Esponda, David H. Ackley, Michael L. Bernard, Patrick Xavier, Stephen Verzi, Vicente Romero and Justin Winokur and has published in prestigious journals such as Evolutionary Computation, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and International Conference on Machine Learning.

In The Last Decade

Matthew Glickman

13 papers receiving 210 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Glickman United States 8 145 114 95 40 35 15 256
Paul K. Harmer United States 6 170 1.2× 107 0.9× 112 1.2× 36 0.9× 59 1.7× 10 269
Zaineb Chelly Dagdia Tunisia 9 66 0.5× 96 0.8× 84 0.9× 44 1.1× 74 2.1× 30 275
Edward Clark United Kingdom 8 186 1.3× 77 0.7× 32 0.3× 167 4.2× 13 0.4× 13 378
Ismaila Idris Nigeria 7 63 0.4× 196 1.7× 165 1.7× 15 0.4× 55 1.6× 21 319
Praneet Saurabh India 7 50 0.3× 119 1.0× 89 0.9× 21 0.5× 29 0.8× 24 272
Jan Feyereisl United Kingdom 6 41 0.3× 73 0.6× 17 0.2× 20 0.5× 23 0.7× 12 183
Mackenzie R. Neal United Kingdom 5 202 1.4× 63 0.6× 20 0.2× 71 1.8× 9 0.3× 7 275
Julie Greensmith United Kingdom 12 405 2.8× 151 1.3× 204 2.1× 102 2.5× 95 2.7× 31 519
Gang Shen China 9 27 0.2× 30 0.3× 40 0.4× 67 1.7× 12 0.3× 55 260
Inmaculada Tomeo-Reyes Australia 11 60 0.4× 134 1.2× 34 0.4× 18 0.5× 47 1.3× 27 358

Countries citing papers authored by Matthew Glickman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Glickman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Glickman. A scholar is included among the top collaborators of Matthew Glickman 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 Matthew Glickman. Matthew Glickman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Romero, Vicente, et al.. (2017). Evaluation of a Simple UQ Approach to Compensate for Sparse Stress-Strain Curve Data in Solid Mechanics Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
2.
Backus, George, et al.. (2016). Using a Hybrid Cognitive-System Dynamics Model to Anticipate the Influence of Events and Actions on Human Behaviors.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
3.
Glickman, Matthew, et al.. (2010). Trainable automated forces.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
4.
Xavier, Patrick, et al.. (2008). Preparing for the aftermath: Using emotional agents in game-based training for disaster response. Zenodo (CERN European Organization for Nuclear Research). 266–275. 13 indexed citations
5.
Forrest, Stephanie, Justin Balthrop, Matthew Glickman, & David H. Ackley. (2005). Computation in the Wild. 207–230. 13 indexed citations
6.
Glickman, Matthew, Justin Balthrop, & Stephanie Forrest. (2005). A Machine Learning Evaluation of an Artificial Immune System. Evolutionary Computation. 13(2). 179–212. 37 indexed citations
7.
Bernard, Michael L., et al.. (2005). Psychologically Plausible Cognitive Models for Simulating Interactive Human Behaviors. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 49(12). 1205–1209. 2 indexed citations
8.
Balthrop, Justin, Stephanie Forrest, & Matthew Glickman. (2003). Revisiting LISYS: parameters and normal behavior. 2. 1045–1050. 58 indexed citations
9.
Balthrop, Justin, Fernando Esponda, Stephanie Forrest, & Matthew Glickman. (2002). Coverage and generalization in an artificial immune system. Genetic and Evolutionary Computation Conference. 3–10. 80 indexed citations
10.
Glickman, Matthew & Katia Sycara. (2002). Reasons for premature convergence of self-adapting mutation rates. 1. 62–69. 24 indexed citations
11.
Glickman, Matthew & Katia Sycara. (2001). Evolutionary Search, Stochastic Policies with Memory, and Reinforcement Learning with Hidden State. International Conference on Machine Learning. 49. 194–201. 9 indexed citations
12.
Glickman, Matthew & Katia Sycara. (1999). Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment. 5 indexed citations
13.
Glickman, Matthew & Katia Sycara. (1999). Comparing Mechanisms for Evolving Evolvability. 2 indexed citations
14.
Glickman, Matthew & Katia Sycara. (1999). Evolutionary Algorithms: Exploring the Dynamics of Self-Adaptation. 7 indexed citations
15.
Glickman, Matthew & Katia Sycara. (1996). Self-adaptation of mutation rates and dynamic fitness. National Conference on Artificial Intelligence. 98. 1389–1389. 1 indexed citations

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.

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