James L. Carroll
- Clinical Psychology top 10%
- Social Psychology top 10%
- Artificial Intelligence top 10%
- Gender Studies top 5%
- Education top 10%
- Co-authors
- Kevin SeppiNancy EisenbergGerald B. FullerTony MartinezEric K. RinggerLeona S. AikenStephen G. WestTodd Peterson
- Topics
- Machine Learning and Algorithms (6 papers)Child and Adolescent Psychosocial and Emotional Development (6 papers)Reinforcement Learning in Robotics (6 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
James L. Carroll
68 papers receiving 949 citations
Peers
Comparison fields: 5 of 146
- Clinical Psychology 227
- Social Psychology 176
- Artificial Intelligence 170
- Gender Studies 123
- Education 117
Countries citing papers authored by James L. Carroll
This map shows the geographic impact of James L. Carroll'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 L. Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James L. Carroll more than expected).
Fields of papers citing papers by James L. Carroll
This network shows the impact of papers produced by James L. Carroll. 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 L. Carroll. The network helps show where James L. Carroll may publish in the future.
Co-authorship network of co-authors of James L. Carroll
This figure shows the co-authorship network connecting the top 25 collaborators of James L. Carroll. A scholar is included among the top collaborators of James L. Carroll 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 L. Carroll. James L. Carroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 40 | |
| 3 | 58 | |
| 4 | 0 | |
| 5 | Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study | 26 |
| 6 | 3 | |
| 7 | 24 | |
| 8 | Task Localization, Similarity, and Transfer; Towards a Reinforcement Learning Task Library System | 1 |
| 9 | Reinforcement Learning Task Clustering. | 2 |
| 10 | Let My Prayer Be Set Before Thee: The Burning of Incense in the Temple Cult of Ancient Israel | 0 |
| 11 | Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning. | 12 |
| 12 | 19 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 16 | |
| 17 | 14 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 2 |
About James L. Carroll
James L. Carroll is a scholar working on Developmental and Educational Psychology, Clinical Psychology and Social Psychology, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (6 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers) and Reinforcement Learning in Robotics (6 papers). The work is most often cited by research in Gender Studies (123 citations), Clinical Psychology (227 citations) and Developmental and Educational Psychology (112 citations). James L. Carroll has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Kevin Seppi, Nancy Eisenberg, Gerald B. Fuller, Tony Martinez, Eric K. Ringger, Leona S. Aiken, Stephen G. West, Todd Peterson, Randy Lennon and Alan J. Ryan. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.
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.