James A. Crowder

684 total citations
28 papers, 262 citations indexed

About

James A. Crowder is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, James A. Crowder has authored 28 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 3 papers in Information Systems. Recurrent topics in James A. Crowder's work include Cognitive Science and Mapping (6 papers), Systems Engineering Methodologies and Applications (4 papers) and Neural Networks and Applications (4 papers). James A. Crowder is often cited by papers focused on Cognitive Science and Mapping (6 papers), Systems Engineering Methodologies and Applications (4 papers) and Neural Networks and Applications (4 papers). James A. Crowder collaborates with scholars based in United States. James A. Crowder's co-authors include Ellen M. Dawley, David L. Dünner, Ram Shrivastava, Jonathan Davidson, Claudia S. Cohn, John P. Feighner, Ari Kiev, Eugene Braunwald, Eugene R. Passamani and Zoltan G. Turi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Comparative Neurology and American Heart Journal.

In The Last Decade

James A. Crowder

27 papers receiving 243 citations

Peers

James A. Crowder
Abhirup Chatterjee India
Atif Ali Khan United States
Haruhiko Takeuchi Japan
Vitaliy Kolodyazhniy Switzerland
Quazi Abidur Rahman Canada
Md Azam Hossain Bangladesh
Carlos Amaral Portugal
Marc Wildi Switzerland
David Berkowicz United States
Abhirup Chatterjee India
James A. Crowder
Citations per year, relative to James A. Crowder James A. Crowder (= 1×) peers Abhirup Chatterjee

Countries citing papers authored by James A. Crowder

Since Specialization
Citations

This map shows the geographic impact of James A. Crowder'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 James A. Crowder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Crowder more than expected).

Fields of papers citing papers by James A. Crowder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Crowder. 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 James A. Crowder. The network helps show where James A. Crowder may publish in the future.

Co-authorship network of co-authors of James A. Crowder

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

All Works

20 of 20 papers shown
1.
Crowder, James A., et al.. (2023). Artificial Emotional Intelligence Testing for AI Avatars. 1 indexed citations
2.
Crowder, James A., et al.. (2022). Requirements Engineering: Laying a Firm Foundation. 1 indexed citations
3.
Crowder, James A., et al.. (2020). Radically Simplifying Game Engines: AI Emotions & Game Self-Evolution. 464–472. 2 indexed citations
4.
Crowder, James A., et al.. (2019). Artificial Psychology: Psychological Modeling and Testing of AI Systems. 3 indexed citations
5.
Crowder, James A., et al.. (2019). Artificial Psychology. 9 indexed citations
6.
Crowder, James A., et al.. (2016). Multidisciplinary Systems Engineering Architecting the Design Process. CERN Document Server (European Organization for Nuclear Research). 9 indexed citations
7.
Crowder, James A.. (2016). AI inferences utilizing Occam Abduction. 1–6. 1 indexed citations
8.
Crowder, James A., et al.. (2013). Artificial Psychology: The Psychology of AI. SHILAP Revista de lepidopterología. 11(8). 64–68. 10 indexed citations
9.
Crowder, James A., et al.. (2013). Artificial Cognition Architectures. CERN Document Server (European Organization for Nuclear Research). 10 indexed citations
10.
Crowder, James A.. (2012). The Artificial Cognitive Neural Framework (ACNF). 2 indexed citations
11.
12.
Bonato, Marta, et al.. (2011). Learning Agents for Autonomous Space Asset Management (LAASAM). amos. 1 indexed citations
13.
Crowder, James A., et al.. (2011). TRANSDISCIPLINARY SYNTHESIS AND COGNITION FRAMEWORKS. 15(1). 35–57. 1 indexed citations
14.
Crowder, James A., et al.. (2010). Artificial Neural Emotions and Emotional Memory.. International Conference on Artificial Intelligence. 373–378. 6 indexed citations
15.
Crowder, James A.. (2010). Flexible Object Architectures for Hybrid Neural Processing Systems. International Conference on Artificial Intelligence. 347–352. 4 indexed citations
16.
17.
Crowder, James A.. (2010). Continuously Recombinant Genetic Neural Fiber Networks. 1 indexed citations
18.
Dawley, Ellen M. & James A. Crowder. (1995). Sexual and seasonal differences in the vomeronasal epithelium of the red‐backed salamander (Plethodon cinereus). The Journal of Comparative Neurology. 359(3). 382–390. 41 indexed citations
19.
Willich, Stefan N., Peter H. Stone, James E. Muller, et al.. (1987). High-risk subgroups of patients with non-Q wave myocardial infarction based on direction and severity of ST segment deviation. American Heart Journal. 114(5). 1110–1119. 45 indexed citations
20.

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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