Noah C. Benson

2.5k total citations
50 papers, 1.4k citations indexed

About

Noah C. Benson is a scholar working on Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Noah C. Benson has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 16 papers in Molecular Biology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Noah C. Benson's work include Visual perception and processing mechanisms (28 papers), Neural dynamics and brain function (22 papers) and Functional Brain Connectivity Studies (13 papers). Noah C. Benson is often cited by papers focused on Visual perception and processing mechanisms (28 papers), Neural dynamics and brain function (22 papers) and Functional Brain Connectivity Studies (13 papers). Noah C. Benson collaborates with scholars based in United States, Netherlands and United Kingdom. Noah C. Benson's co-authors include Jonathan Winawer, Valerie Daggett, Omar H. Butt, Geoffrey K. Aguirre, David H. Brainard, Ritobrato Datta, Kendrick Kay, Petya D. Radoeva, Marisa Carrasco and Jingyang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Noah C. Benson

49 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noah C. Benson United States 19 880 375 233 116 114 50 1.4k
Shanshan Liang China 18 165 0.2× 293 0.8× 169 0.7× 169 1.5× 24 0.2× 52 1.0k
Anton E. Krukowski United States 10 528 0.6× 432 1.2× 37 0.2× 274 2.4× 183 1.6× 14 1.1k
Tao Jiang China 23 208 0.2× 551 1.5× 143 0.6× 226 1.9× 103 0.9× 92 1.6k
Attila Nagy Hungary 21 430 0.5× 212 0.6× 77 0.3× 248 2.1× 30 0.3× 132 1.3k
Olivier Marre France 24 1.2k 1.4× 685 1.8× 36 0.2× 1.0k 8.7× 32 0.3× 55 2.0k
Ke Zeng China 24 387 0.4× 246 0.7× 170 0.7× 108 0.9× 80 0.7× 59 1.5k
Wolfgang Mader Germany 11 384 0.4× 192 0.5× 106 0.5× 85 0.7× 5 0.0× 23 748
P. Cavanagh France 11 393 0.4× 313 0.8× 44 0.2× 37 0.3× 9 0.1× 20 817
Nobuyoshi Takahashi Japan 18 201 0.2× 262 0.7× 36 0.2× 25 0.2× 49 0.4× 69 1.1k
Daniel Keller Switzerland 22 352 0.4× 578 1.5× 65 0.3× 505 4.4× 8 0.1× 69 1.6k

Countries citing papers authored by Noah C. Benson

Since Specialization
Citations

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

Fields of papers citing papers by Noah C. Benson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah C. Benson. 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 Noah C. Benson. The network helps show where Noah C. Benson may publish in the future.

Co-authorship network of co-authors of Noah C. Benson

This figure shows the co-authorship network connecting the top 25 collaborators of Noah C. Benson. A scholar is included among the top collaborators of Noah C. Benson 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 Noah C. Benson. Noah C. Benson 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.
Kurzawski, Jan W., et al.. (2025). Human V4 size predicts crowding distance. Nature Communications. 16(1). 3876–3876. 1 indexed citations
2.
Benson, Noah C., et al.. (2025). Human retinotopic mapping: From empirical to computational models of retinotopy. Journal of Vision. 25(8). 14–14.
3.
Rokem, Ariel & Noah C. Benson. (2024). Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy. Neuroinformatics. 22(4). 647–655. 1 indexed citations
4.
Kruper, John, Noah C. Benson, Sendy Caffarra, et al.. (2023). Optic radiations representing different eccentricities age differently. Human Brain Mapping. 44(8). 3123–3135. 5 indexed citations
5.
Benson, Noah C., et al.. (2022). Structural Covariance and Heritability of the Optic Tract and Primary Visual Cortex in Living Human Brains. Journal of Neuroscience. 42(35). 6761–6769. 7 indexed citations
6.
Benson, Noah C., et al.. (2022). Variability of the Surface Area of the V1, V2, and V3 Maps in a Large Sample of Human Observers. Journal of Neuroscience. 42(46). 8629–8646. 29 indexed citations
7.
Benson, Noah C., et al.. (2021). A visual encoding model links magnetoencephalography signals to neural synchrony in human cortex. NeuroImage. 245. 118655–118655. 5 indexed citations
8.
Gaglianese, Anna, Mariana P. Branco, Iris I. A. Groen, et al.. (2020). Electrocorticography Evidence of Tactile Responses in Visual Cortices. Brain Topography. 33(5). 559–570. 5 indexed citations
9.
Szkody, Paula, et al.. (2020). The Open Cataclysmic Variable Catalog. Research Notes of the AAS. 4(12). 219–219. 3 indexed citations
10.
Benson, Noah C., et al.. (2020). Visual Performance Fields. OSF Preprints (OSF Preprints). 2 indexed citations
11.
Lerma‐Usabiaga, Garikoitz, Noah C. Benson, Jonathan Winawer, & Brian A. Wandell. (2020). A validation framework for neuroimaging software: The case of population receptive fields. PLoS Computational Biology. 16(6). e1007924–e1007924. 29 indexed citations
12.
Zhou, Jingyang, Noah C. Benson, Kendrick Kay, & Jonathan Winawer. (2017). Compressive Temporal Summation in Human Visual Cortex. Journal of Neuroscience. 38(3). 691–709. 59 indexed citations
13.
Aguirre, Geoffrey K., Ritobrato Datta, Noah C. Benson, et al.. (2016). Patterns of Individual Variation in Visual Pathway Structure and Function in the Sighted and Blind. PLoS ONE. 11(11). e0164677–e0164677. 35 indexed citations
14.
Butt, Omar H., Noah C. Benson, Ritobrato Datta, & Geoffrey K. Aguirre. (2015). Hierarchical and homotopic correlations of spontaneous neural activity within the visual cortex of the sighted and blind. Frontiers in Human Neuroscience. 9. 25–25. 23 indexed citations
15.
Benson, Noah C., Jeremy R. Manning, & David H. Brainard. (2014). Unsupervised Learning of Cone Spectral Classes from Natural Images. PLoS Computational Biology. 10(6). e1003652–e1003652. 15 indexed citations
16.
Benson, Noah C., Omar H. Butt, David H. Brainard, & Geoffrey K. Aguirre. (2014). Correction of Distortion in Flattened Representations of the Cortical Surface Allows Prediction of V1-V3 Functional Organization from Anatomy. PLoS Computational Biology. 10(3). e1003538–e1003538. 136 indexed citations
17.
Benson, Noah C., Dwight Stambolian, & David H. Brainard. (2012). Contrast Sensitivity At Soft Drusen In Early Age-related Macular Degeneration Using Fine-detail Perimetry. Investigative Ophthalmology & Visual Science. 53(14). 4382–4382. 1 indexed citations
18.
Benson, Noah C., Omar H. Butt, Ritobrato Datta, et al.. (2012). The Retinotopic Organization of Striate Cortex Is Well Predicted by Surface Topology. Current Biology. 22(21). 2081–2085. 163 indexed citations
19.
Benson, Noah C., Omar H. Butt, Rahul Datta, David H. Brainard, & Geoffrey K. Aguirre. (2011). A Universal Retinotopic Mapping of V1 with Respect to Anatomy. Journal of Vision. 11(11). 1067–1067. 2 indexed citations
20.
Toofanny, Rudesh D., et al.. (2008). Dynameomics: design of a computational lab workflow and scientific data repository for protein simulations. Protein Engineering Design and Selection. 21(6). 369–377. 37 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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