James T. Todd

9.6k total citations
187 papers, 7.4k citations indexed

About

James T. Todd is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, James T. Todd has authored 187 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Cognitive Neuroscience, 51 papers in Computer Vision and Pattern Recognition and 39 papers in Social Psychology. Recurrent topics in James T. Todd's work include Visual perception and processing mechanisms (113 papers), Color perception and design (32 papers) and Color Science and Applications (30 papers). James T. Todd is often cited by papers focused on Visual perception and processing mechanisms (113 papers), Color perception and design (32 papers) and Color Science and Applications (30 papers). James T. Todd collaborates with scholars based in United States, Netherlands and Belgium. James T. Todd's co-authors include J. Farley Norman, Ennio Mingolla, Guy A. Orban, Jan J. Koenderink, Astrid M. L. Kappers, Francene D. Reichel, Victor Perotti, James S. Tittle, Stefan Sunaert and Wim Vanduffel and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

James T. Todd

174 papers receiving 7.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James T. Todd United States 50 6.0k 1.9k 1.4k 842 782 187 7.4k
Astrid M. L. Kappers Netherlands 41 4.7k 0.8× 754 0.4× 843 0.6× 1.5k 1.7× 360 0.5× 266 5.8k
Michael S. Landy United States 41 6.2k 1.0× 1.3k 0.6× 1.3k 0.9× 1.4k 1.6× 922 1.2× 173 7.4k
J. Farley Norman United States 33 3.2k 0.5× 829 0.4× 760 0.5× 650 0.8× 316 0.4× 125 3.6k
David C. Knill United States 36 5.1k 0.8× 857 0.4× 1.0k 0.7× 1.1k 1.3× 472 0.6× 72 6.3k
Whitman Richards United States 33 3.8k 0.6× 1.1k 0.6× 583 0.4× 411 0.5× 566 0.7× 107 5.2k
Daniel Kersten United States 36 3.7k 0.6× 895 0.5× 640 0.5× 626 0.7× 592 0.8× 129 4.5k
Martin S. Banks United States 56 10.6k 1.8× 2.3k 1.2× 1.9k 1.3× 3.0k 3.6× 867 1.1× 226 14.3k
V. S. Ramachandran United States 39 3.7k 0.6× 822 0.4× 870 0.6× 978 1.2× 384 0.5× 86 5.2k
George Sperling United States 48 10.5k 1.8× 2.0k 1.0× 1.4k 1.0× 2.8k 3.3× 1.2k 1.5× 153 12.5k
Laurence T. Maloney United States 44 5.7k 1.0× 1.4k 0.7× 2.1k 1.5× 1.1k 1.4× 2.2k 2.8× 159 7.8k

Countries citing papers authored by James T. Todd

Since Specialization
Citations

This map shows the geographic impact of James T. Todd'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 T. Todd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Todd more than expected).

Fields of papers citing papers by James T. Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. Todd. 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 T. Todd. The network helps show where James T. Todd may publish in the future.

Co-authorship network of co-authors of James T. Todd

This figure shows the co-authorship network connecting the top 25 collaborators of James T. Todd. A scholar is included among the top collaborators of James T. Todd 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 T. Todd. James T. Todd 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.
Todd, James T., et al.. (2024). Building language learning: Relations between infant attention and social contingency in the first year of life. Infant Behavior and Development. 75. 101933–101933. 4 indexed citations
2.
Todd, James T., et al.. (2023). Intersensory processing of faces and voices at 6 months predicts language outcomes at 18, 24, and 36 months of age. Infancy. 28(3). 569–596. 5 indexed citations
3.
Todd, James T., Ying Yu, & Flip Phillips. (2023). Qualitative perception of 3D shape from patterns of luminance curvature. Journal of Vision. 23(5). 10–10. 4 indexed citations
4.
Todd, James T., et al.. (2022). Intersensory matching of faces and voices in infancy predicts language outcomes in young children.. Developmental Psychology. 58(8). 1413–1428. 13 indexed citations
5.
Todd, James T., et al.. (2012). The role of symmetry in 3D shape discrimination across changes in viewpoint. Journal of Vision. 12(9). 1048–1048. 1 indexed citations
6.
Todd, James T., et al.. (2011). The perception of 3D shape from contour textures. Journal of Vision. 11(11). 48–48. 1 indexed citations
7.
Todd, James T., et al.. (2010). Texture discrimination based on global feature alignments. Journal of Vision. 10(6). 6–6. 8 indexed citations
8.
Todd, James T. & Lore Thaler. (2010). The perception of 3D shape from texture based on directional width gradients. Journal of Vision. 10(5). 17–17. 24 indexed citations
9.
Durand, Jean‐Baptiste, Ronald Peeters, J. Farley Norman, James T. Todd, & Guy A. Orban. (2009). Parietal regions processing visual 3D shape extracted from disparity. NeuroImage. 46(4). 1114–1126. 98 indexed citations
10.
Koenderink, Jan J., Andrea J. van Doorn, & James T. Todd. (2008). Wide distribution of external local sign in the normal population. Psychological Research. 73(1). 14–22. 26 indexed citations
11.
Todd, James T., Lore Thaler, & Tjeerd M. H. Dijkstra. (2005). The effects of field of view on the perception of 3D slant from texture. Vision Research. 45(12). 1501–1517. 41 indexed citations
12.
Norman, J. Farley, et al.. (2005). Visual discrimination of local surface structure: Slant, tilt, and curvedness. Vision Research. 46(6-7). 1057–1069. 36 indexed citations
13.
Todd, James T. & Victor Perotti. (1999). The visual perception of surface orientation from optical motion. Perception & Psychophysics. 61(8). 1577–1589. 27 indexed citations
14.
Tittle, James S. & James T. Todd. (1998). Perception of three-dimensional structure. MIT Press eBooks. 715–718. 6 indexed citations
15.
Koenderink, Jan J., Andrea J. van Doorn, Astrid M. L. Kappers, & James T. Todd. (1997). The visual contour in depth. Perception & Psychophysics. 59(6). 828–838. 17 indexed citations
16.
Lindsey, Delwin T. & James T. Todd. (1996). On the relative contributions of motion energy and transparency to the perception of moving plaids. Vision Research. 36(2). 207–222. 19 indexed citations
17.
Todd, James T. & J. Farley Norman. (1995). The effects of spatiotemporal integration on maximum displacement thresholds for the detection of coherent motion. Vision Research. 35(16). 2287–2302. 31 indexed citations
18.
Norman, J. Farley, James T. Todd, & Flip Phillips. (1995). The perception of surface orientation from multiple sources of optical information. Perception & Psychophysics. 57(5). 629–636. 111 indexed citations
19.
Norman, J. Farley & James T. Todd. (1993). The perceptual analysis of structure from motion for rotating objects undergoing affine stretching transformations. Perception & Psychophysics. 53(3). 279–291. 79 indexed citations
20.
Todd, James T. & Paola Bressan. (1990). The perception of 3-dimensional affine structure from minimal apparent motion sequences. Perception & Psychophysics. 48(5). 419–430. 157 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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