Jonathan T. McClain
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Clinical Psychology
- Developmental and Educational Psychology
- Artificial Intelligence
- Co-authors
- Lorina NaçiCati BrownJames SempleMichael A. CovingtonJohn BrownCongzhou HeWalter D. PotterBenjamin Anderson
- Topics
- Topic Modeling (2 papers)Modular Robots and Swarm Intelligence (1 paper)Big Data and Business Intelligence (1 paper)
- Journals
- Schizophrenia ResearchJournal of NeurologyOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jonathan T. McClain
8 papers receiving 259 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 123
- Psychiatry and Mental health 108
- Clinical Psychology 73
- Developmental and Educational Psychology 58
- Artificial Intelligence 44
Countries citing papers authored by Jonathan T. McClain
This map shows the geographic impact of Jonathan T. McClain'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 Jonathan T. McClain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan T. McClain more than expected).
Fields of papers citing papers by Jonathan T. McClain
This network shows the impact of papers produced by Jonathan T. McClain. 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 Jonathan T. McClain. The network helps show where Jonathan T. McClain may publish in the future.
Co-authorship network of co-authors of Jonathan T. McClain
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan T. McClain. A scholar is included among the top collaborators of Jonathan T. McClain 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 Jonathan T. McClain. Jonathan T. McClain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Tracer FIRE Cyberforensic Training Platform. | 1 |
| 2 | Automated Performance Assessment in Cyber Training Exercises. | 4 |
| 3 | Factors Impacting Performance in Competitive Cyber Exercises. | 13 |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 227 | |
| 7 | 10 | |
| 8 | 6 |
About Jonathan T. McClain
Jonathan T. McClain is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Management Information Systems, having authored 8 papers that have together received 279 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Psychiatry and Mental health (108 citations), Cognitive Neuroscience (123 citations) and Developmental and Educational Psychology (58 citations). Jonathan T. McClain has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lorina Naçi, Cati Brown, James Semple, Michael A. Covington, John Brown, Congzhou He, Walter D. Potter, Benjamin Anderson, W. D. Potter and Robert Abbott. Their work appears in journals such as Schizophrenia Research, Journal of Neurology and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.