Steven M. Thurman
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition
- Developmental and Educational Psychology
- Co-authors
- Hongjing LuEmily D. GrossmanMartin A. GiesePinakin Gunvant DaveyAaron R. SeitzJonathan H. VeneziaGregory HickokJavier O. Garcia
- Topics
- Visual perception and processing mechanisms (17 papers)Action Observation and Synchronization (12 papers)Neural dynamics and brain function (6 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Steven M. Thurman
28 papers receiving 432 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 308
- Social Psychology 189
- Experimental and Cognitive Psychology 95
- Computer Vision and Pattern Recognition 56
- Developmental and Educational Psychology 45
Countries citing papers authored by Steven M. Thurman
This map shows the geographic impact of Steven M. Thurman'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 Steven M. Thurman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Thurman more than expected).
Fields of papers citing papers by Steven M. Thurman
This network shows the impact of papers produced by Steven M. Thurman. 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 Steven M. Thurman. The network helps show where Steven M. Thurman may publish in the future.
Co-authorship network of co-authors of Steven M. Thurman
This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Thurman. A scholar is included among the top collaborators of Steven M. Thurman 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 Steven M. Thurman. Steven M. Thurman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 17 | |
| 8 | 16 | |
| 9 | 45 | |
| 10 | 2018 Human Variability Workshop: Insights to Drive Scientific Innovations for Human State Detection and Prediction | 1 |
| 11 | Critical Features of Joint Actions that Signal Human Interaction. | 5 |
| 12 | 25 | |
| 13 | Repeatability of measurements obtained using the quick CSF method | 1 |
| 14 | 18 | |
| 15 | 12 | |
| 16 | 10 | |
| 17 | 23 | |
| 18 | 11 | |
| 19 | 41 | |
| 20 | 63 |
About Steven M. Thurman
Steven M. Thurman is a scholar working on Cognitive Neuroscience, Developmental Biology and Social Psychology, having authored 33 papers that have together received 439 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (17 papers), Action Observation and Synchronization (12 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (308 citations), Developmental Biology (24 citations) and Social Psychology (189 citations). Steven M. Thurman has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Hongjing Lu, Emily D. Grossman, Martin A. Giese, Pinakin Gunvant Davey, Aaron R. Seitz, Jonathan H. Venezia, Gregory Hickok, Javier O. Garcia, Jean M. Vettel and Jeroen J. A. van Boxtel. Their work appears in journals such as PLoS ONE, NeuroImage and Psychological Science.
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.