Mark D. Lescroart
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Social Psychology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jack L. GallantIrving BiedermanKenneth J. HayworthJames GaoAlexander G. HuthDustin StansburyXiaomin YueJun Kitazono
- Topics
- Face Recognition and Perception (12 papers)Visual perception and processing mechanisms (9 papers)Neural dynamics and brain function (8 papers)
- Cited by
- Cognitive NeuroscienceComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Mark D. Lescroart
19 papers receiving 501 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 446
- Computer Vision and Pattern Recognition 105
- Experimental and Cognitive Psychology 59
- Social Psychology 38
- Radiology, Nuclear Medicine and Imaging 25
Countries citing papers authored by Mark D. Lescroart
This map shows the geographic impact of Mark D. Lescroart'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 Mark D. Lescroart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Lescroart more than expected).
Fields of papers citing papers by Mark D. Lescroart
This network shows the impact of papers produced by Mark D. Lescroart. 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 Mark D. Lescroart. The network helps show where Mark D. Lescroart may publish in the future.
Co-authorship network of co-authors of Mark D. Lescroart
This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Lescroart. A scholar is included among the top collaborators of Mark D. Lescroart 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 Mark D. Lescroart. Mark D. Lescroart 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 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 66 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 98 | |
| 11 | 71 | |
| 12 | 1 | |
| 13 | 44 | |
| 14 | 53 | |
| 15 | 28 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 57 | |
| 19 | 47 | |
| 20 | 6 |
About Mark D. Lescroart
Mark D. Lescroart is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Ophthalmology, having authored 21 papers that have together received 507 indexed citations. Recurring topics across this work include Face Recognition and Perception (12 papers), Visual perception and processing mechanisms (9 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cognitive Neuroscience (446 citations), Computer Vision and Pattern Recognition (105 citations) and Experimental and Cognitive Psychology (59 citations). Mark D. Lescroart has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Jack L. Gallant, Irving Biederman, Kenneth J. Hayworth, James Gao, Alexander G. Huth, Dustin Stansbury, Xiaomin Yue, Jun Kitazono, Takayuki Sato and Masato Okada. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.
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.