Thomas V. Papathomas

3.2k total citations
102 papers, 2.1k citations indexed

About

Thomas V. Papathomas is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Thomas V. Papathomas has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cognitive Neuroscience, 28 papers in Computer Vision and Pattern Recognition and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Thomas V. Papathomas's work include Visual perception and processing mechanisms (70 papers), Neural dynamics and brain function (17 papers) and Color Science and Applications (17 papers). Thomas V. Papathomas is often cited by papers focused on Visual perception and processing mechanisms (70 papers), Neural dynamics and brain function (17 papers) and Color Science and Applications (17 papers). Thomas V. Papathomas collaborates with scholars based in United States, France and Hungary. Thomas V. Papathomas's co-authors include Andrei Goréa, P.N. Yianilos, Ingemar J. Cox, Matthew L. Miller, Ilona Kovács, Thomas P. Minka, A. Fehér, Béla Julesz, Zoltán Vidnyánszky and Steven M. Silverstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and PLoS ONE.

In The Last Decade

Thomas V. Papathomas

95 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas V. Papathomas United States 20 1.3k 753 237 221 167 102 2.1k
Hans Strasburger Germany 24 2.3k 1.8× 407 0.5× 283 1.2× 351 1.6× 194 1.2× 77 3.0k
Robert L. Savoy United States 21 2.6k 2.0× 221 0.3× 255 1.1× 348 1.6× 130 0.8× 44 3.2k
Haluk Öğmen United States 27 2.5k 1.9× 330 0.4× 223 0.9× 350 1.6× 234 1.4× 107 2.7k
Li Zhaoping United Kingdom 32 3.3k 2.5× 1.2k 1.6× 255 1.1× 216 1.0× 495 3.0× 112 3.9k
Albert J. Ahumada United States 23 2.0k 1.6× 1.3k 1.7× 204 0.9× 112 0.5× 329 2.0× 72 3.1k
Gerald Silverman United States 16 1.9k 1.5× 630 0.8× 217 0.9× 228 1.0× 285 1.7× 28 2.4k
John E. W. Mayhew United Kingdom 19 1.0k 0.8× 612 0.8× 97 0.4× 55 0.2× 297 1.8× 43 1.9k
David L. Sheinberg United States 26 2.9k 2.2× 543 0.7× 324 1.4× 478 2.2× 491 2.9× 52 3.4k
Najib J. Majaj United States 18 2.3k 1.8× 480 0.6× 182 0.8× 312 1.4× 252 1.5× 46 2.7k
R. F. Hess Canada 23 2.3k 1.8× 368 0.5× 232 1.0× 149 0.7× 397 2.4× 56 2.8k

Countries citing papers authored by Thomas V. Papathomas

Since Specialization
Citations

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

Fields of papers citing papers by Thomas V. Papathomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas V. Papathomas. 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 Thomas V. Papathomas. The network helps show where Thomas V. Papathomas may publish in the future.

Co-authorship network of co-authors of Thomas V. Papathomas

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas V. Papathomas. A scholar is included among the top collaborators of Thomas V. Papathomas 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 Thomas V. Papathomas. Thomas V. Papathomas 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.
2.
Papathomas, Thomas V., et al.. (2016). Schizophrenia: The micro-movements perspective. Neuropsychologia. 85. 310–326. 18 indexed citations
3.
Sukumar, Deeptha, Stephen H. Schneider, Yvette Schlussel, et al.. (2016). Three doses of vitamin D, bone mineral density, and geometry in older women during modest weight control in a 1-year randomized controlled trial. Osteoporosis International. 28(1). 377–388. 26 indexed citations
4.
Gupta, Tina, Steven M. Silverstein, Jessica A. Bernard, et al.. (2016). Disruptions in neural connectivity associated with reduced susceptibility to a depth inversion illusion in youth at ultra high risk for psychosis. NeuroImage Clinical. 12. 681–690. 11 indexed citations
5.
Silverstein, Steven M., Brian P. Keane, Thomas V. Papathomas, et al.. (2014). Processing of Spatial-Frequency Altered Faces in Schizophrenia: Effects of Illness Phase and Duration. PLoS ONE. 9(12). e114642–e114642. 15 indexed citations
6.
Papathomas, Thomas V., et al.. (2014). Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior. Journal of Visualized Experiments. 3 indexed citations
7.
Wang, Yushi, et al.. (2013). Three-dimensional depth illusions in schizophrenia and bipolar disorder. Journal of Vision. 13(9). 269–269. 2 indexed citations
8.
Silverstein, Steven M., et al.. (2013). Effects of short-term inpatient treatment on sensitivity to a size contrast illusion in first-episode psychosis and multiple-episode schizophrenia. Frontiers in Psychology. 4. 466–466. 50 indexed citations
9.
Papathomas, Thomas V., Zoe Kourtzi, & Andrew E. Welchman. (2010). Perspective-Based Illusory Movement in a Flat Billboard—An Explanation. Perception. 39(8). 1086–1093. 10 indexed citations
10.
Jain, Anshul, Sharon L. Sally, & Thomas V. Papathomas. (2008). Audiovisual short-term influences and aftereffects in motion: Examination across three sets of directional pairings. Journal of Vision. 8(15). 7–7. 39 indexed citations
11.
Papathomas, Thomas V., et al.. (2006). Influences of attention on auditory aftereffects following purely visual adaptation. Spatial Vision. 19(6). 569–580. 3 indexed citations
12.
Melcher, David, Thomas V. Papathomas, & Zoltán Vidnyánszky. (2005). Implicit Attentional Selection of Bound Visual Features. Neuron. 46(5). 723–729. 80 indexed citations
13.
Chong, Sang Chul, et al.. (2005). Cross-feature spread of global attentional modulation in human area MT+. Neuroreport. 16(12). 1389–1393. 19 indexed citations
14.
Vidnyánszky, Zoltán, Thomas V. Papathomas, & Béla Julesz. (2001). Contextual modulation of orientation discrimination is independent of stimulus processing time. Vision Research. 41(22). 2813–2817. 9 indexed citations
15.
Cox, Ingemar J., Matthew L. Miller, Thomas P. Minka, Thomas V. Papathomas, & P.N. Yianilos. (2000). The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments. IEEE Transactions on Image Processing. 9(1). 20–37. 451 indexed citations
16.
Papathomas, Thomas V., et al.. (1999). Attention-based texture segregation. Perception & Psychophysics. 61(7). 1399–1410. 5 indexed citations
17.
Goréa, Andrei & Thomas V. Papathomas. (1999). Local versus global contrasts in texture segregation. Journal of the Optical Society of America A. 16(3). 728–728. 3 indexed citations
18.
Papathomas, Thomas V., Andrei Goréa, & Charles Chubb. (1996). Precise Assessment of the Mean Effective Luminance of Texture Patches—An Approach Based on Reverse-phi Motion. Vision Research. 36(23). 3775–3784. 6 indexed citations
19.
20.
Papathomas, Thomas V., Andrei Goréa, & Béla Julesz. (1991). Two carriers for motion perception: Color and luminance. Vision Research. 31(11). 1883–1892. 61 indexed citations

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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