Jacob S. Prince

1.1k total citations · 1 hit paper
17 papers, 364 citations indexed

About

Jacob S. Prince is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jacob S. Prince has authored 17 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Jacob S. Prince's work include Face Recognition and Perception (9 papers), Neural dynamics and brain function (6 papers) and Visual perception and processing mechanisms (6 papers). Jacob S. Prince is often cited by papers focused on Face Recognition and Perception (9 papers), Neural dynamics and brain function (6 papers) and Visual perception and processing mechanisms (6 papers). Jacob S. Prince collaborates with scholars based in United States, Canada and United Kingdom. Jacob S. Prince's co-authors include Kendrick Kay, Ian Charest, Jesse Breedlove, Talia Konkle, Franco Pestilli, Logan T. Dowdle, Bradley Caron, Emily Allen, Yihan Wu and Thomas Naselaris and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Scientific Reports.

In The Last Decade

Jacob S. Prince

16 papers receiving 361 citations

Hit Papers

A massive 7T fMRI dataset to bridge cognitive neuroscienc... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
    2021 211 citations Emily Allen, Ghislain St-Yves et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob S. Prince United States 7 277 76 33 31 26 17 364
Yihan Wu United States 7 232 0.8× 63 0.8× 29 0.9× 43 1.4× 46 1.8× 24 356
Meenakshi Khosla United States 8 202 0.7× 37 0.5× 29 0.9× 25 0.8× 33 1.3× 14 303
Dustin Stansbury United States 5 349 1.3× 90 1.2× 12 0.4× 30 1.0× 44 1.7× 7 404
N. Apurva Ratan Murty United States 11 313 1.1× 83 1.1× 10 0.3× 34 1.1× 47 1.8× 18 413
Bradley Caron United States 8 278 1.0× 51 0.7× 117 3.5× 31 1.0× 23 0.9× 12 398
Alexis Kidder United States 4 230 0.8× 51 0.7× 14 0.4× 28 0.9× 32 1.2× 7 283
Yu Takagi Japan 6 144 0.5× 40 0.5× 34 1.0× 26 0.8× 46 1.8× 10 243
David A. Tovar United States 7 422 1.5× 55 0.7× 11 0.3× 16 0.5× 68 2.6× 11 477
Wolf Zinke Germany 9 429 1.5× 28 0.4× 45 1.4× 8 0.3× 29 1.1× 14 505
Lynn K. A. Sörensen Netherlands 5 224 0.8× 53 0.7× 7 0.2× 26 0.8× 21 0.8× 7 260

Countries citing papers authored by Jacob S. Prince

Since Specialization
Citations

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

Fields of papers citing papers by Jacob S. Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob S. Prince. 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 Jacob S. Prince. The network helps show where Jacob S. Prince may publish in the future.

Co-authorship network of co-authors of Jacob S. Prince

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob S. Prince. A scholar is included among the top collaborators of Jacob S. Prince 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 Jacob S. Prince. Jacob S. Prince is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kay, Kendrick, Jacob S. Prince, Greta Tuckute, et al.. (2025). Disentangling signal and noise in neural responses through generative modeling. PLoS Computational Biology. 21(7). e1012092–e1012092.
2.
Prince, Jacob S., George A. Alvarez, & Talia Konkle. (2024). Contrastive learning explains the emergence and function of visual category-selective regions. Science Advances. 10(39). eadl1776–eadl1776. 9 indexed citations
3.
4.
Prince, Jacob S., et al.. (2024). A large-scale examination of inductive biases shaping high-level visual representation in brains and machines. Nature Communications. 15(1). 9383–9383. 22 indexed citations
5.
Prince, Jacob S., et al.. (2023). Selectivity for food in human ventral visual cortex. Communications Biology. 6(1). 175–175. 29 indexed citations
6.
7.
Tung, Hsiao-Yu Fish, et al.. (2023). 3D View Prediction Models of the Dorsal Visual Stream. 2 indexed citations
8.
Vinken, Kasper, Jacob S. Prince, Talia Konkle, & Margaret S. Livingstone. (2023). The neural code for “face cells” is not face-specific. Science Advances. 9(35). eadg1736–eadg1736. 17 indexed citations
9.
Prince, Jacob S., Ian Charest, Jan W. Kurzawski, et al.. (2022). Improving the accuracy of single-trial fMRI response estimates using GLMsingle. eLife. 11. 54 indexed citations
10.
Kurniawan, Jonas, Jacob S. Prince, Brandon Ho, et al.. (2022). A flexible adhesive surface electrode array capable of cervical electroneurography during a sequential autonomic stress challenge. Scientific Reports. 12(1). 19467–19467. 6 indexed citations
11.
Prince, Jacob S. & Talia Konkle. (2022). Neural and computational evidence that category-selective visual regions are facets of a unified object space. Journal of Vision. 22(14). 4428–4428. 1 indexed citations
12.
13.
Konkle, Talia, et al.. (2022). What can 5.17 billion regression fits tell us about the representational format of the high-level human visual system?. Journal of Vision. 22(14). 4422–4422. 1 indexed citations
14.
Allen, Emily, Ghislain St-Yves, Yihan Wu, et al.. (2021). A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature Neuroscience. 25(1). 116–126. 211 indexed citations breakdown →
15.
Prince, Jacob S., John A. Pyles, Michael J. Tarr, & Kendrick Kay. (2021). GLMsingle: a turnkey solution for accurate single-trial fMRI response estimates. Journal of Vision. 21(9). 2831–2831. 2 indexed citations
16.
Prince, Jacob S. & Talia Konkle. (2020). Computational evidence for integrated rather than specialized feature tuning in category-selective regions. Journal of Vision. 20(11). 1577–1577. 4 indexed citations
17.
Prince, Jacob S., et al.. (2020). Comparing representations that support object, scene, and face recognition using representational trajectory analysis.. Journal of Vision. 20(11). 861–861. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yihan Wu Breakdown of academic impact, for papers by Meenakshi Khosla Breakdown of academic impact, for papers by Dustin Stansbury Breakdown of academic impact, for papers by N. Apurva Ratan Murty Breakdown of academic impact, for papers by Bradley Caron Breakdown of academic impact, for papers by Alexis Kidder Breakdown of academic impact, for papers by Yu Takagi Breakdown of academic impact, for papers by David A. Tovar Breakdown of academic impact, for papers by Wolf Zinke Breakdown of academic impact, for papers by Lynn K. A. Sörensen
Rankless by CCL
2026