Drew Linsley

841 total citations
23 papers, 509 citations indexed

About

Drew Linsley is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Drew Linsley has authored 23 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Drew Linsley's work include Face Recognition and Perception (9 papers), Visual perception and processing mechanisms (8 papers) and Visual Attention and Saliency Detection (8 papers). Drew Linsley is often cited by papers focused on Face Recognition and Perception (9 papers), Visual perception and processing mechanisms (8 papers) and Visual Attention and Saliency Detection (8 papers). Drew Linsley collaborates with scholars based in United States, France and Canada. Drew Linsley's co-authors include T. Serre, Amanda Dawson, Laurel J. Buxbaum, Jeremy W. Linsley, Sean P. MacEvoy, Nicholas A. Castello, Ashkan Javaherian, Steven Finkbeiner, Éric Lécuyer and G Yeo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Drew Linsley

21 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Drew Linsley United States	11	203	122	84	82	71	23	509
Julien Dauguet France	11	101 0.5×	171 1.4×	33 0.4×	158 1.9×	119 1.7×	25	756
Christopher S. Bjornsson United States	7	234 1.2×	26 0.2×	44 0.5×	28 0.3×	51 0.7×	9	533
Meghan T. Miller United States	16	373 1.8×	105 0.9×	28 0.3×	18 0.2×	17 0.2×	23	647
Dušan Ristanović Serbia	15	123 0.6×	140 1.1×	51 0.6×	23 0.3×	33 0.5×	38	578
Xiaojun Huang China	11	103 0.5×	37 0.3×	18 0.2×	47 0.6×	17 0.2×	46	328
Mihail Ivilinov Todorov Germany	10	137 0.7×	33 0.3×	27 0.3×	20 0.2×	51 0.7×	15	514
Xianhao Chen Canada	10	292 1.4×	71 0.6×	9 0.1×	15 0.2×	25 0.4×	22	619
Artem Khmelinskii Netherlands	9	121 0.6×	69 0.6×	21 0.3×	30 0.4×	41 0.6×	22	439
Øystein Olsen Norway	11	66 0.3×	139 1.1×	67 0.8×	19 0.2×	11 0.2×	14	455
Jacob R. Glaser United States	8	254 1.3×	98 0.8×	22 0.3×	113 1.4×	34 0.5×	12	613

Countries citing papers authored by Drew Linsley

Since Specialization

Citations

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

Fields of papers citing papers by Drew Linsley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Drew Linsley. 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 Drew Linsley. The network helps show where Drew Linsley may publish in the future.

Co-authorship network of co-authors of Drew Linsley

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

All Works

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20 of 20 papers shown

Linsley, Drew, et al.. (2025). Better artificial intelligence does not mean better models of biology. Trends in Cognitive Sciences.

Linsley, Drew, et al.. (2024). Deceptive learning in histopathology. Histopathology. 85(1). 116–132. 2 indexed citations

Linsley, Drew & T. Serre. (2023). Fixing the problems of deep neural networks will require better training data and learning algorithms. Behavioral and Brain Sciences. 46. e400–e400. 2 indexed citations

Linsley, Drew, et al.. (2022). Harmonizing the Object Recognition Strategies of Deep Neural Networks with Humans. PubMed. 35. 9432–9446. 15 indexed citations

Wang, Shijie, et al.. (2022). Fluorescently labeled nuclear morphology is highly informative of neurotoxicity. SHILAP Revista de lepidopterología. 4. 935438–935438. 2 indexed citations

Linsley, Jeremy W., Drew Linsley, Kevan Shah, et al.. (2021). Superhuman cell death detection with biomarker-optimized neural networks. Science Advances. 7(50). eabf8142–eabf8142. 12 indexed citations

Linsley, Drew, et al.. (2021). Tracking Without Re-recognition in Humans and Machines.. HAL (Le Centre pour la Communication Scientifique Directe). 34. 1 indexed citations

Linsley, Drew, et al.. (2019). Development of a Deep Learning Algorithm for the Histopathologic Diagnosis and Gleason Grading of Prostate Cancer Biopsies: A Pilot Study. European Urology Focus. 7(2). 347–351. 73 indexed citations

Fang, Mark Y., Sebastian Markmiller, Anthony Q. Vu, et al.. (2019). Small-Molecule Modulation of TDP-43 Recruitment to Stress Granules Prevents Persistent TDP-43 Accumulation in ALS/FTD. Neuron. 103(5). 802–819.e11. 198 indexed citations

10.

Kim, Junkyung, et al.. (2019). Disentangling neural mechanisms for perceptual grouping. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

11.

Linsley, Drew, Junkyung Kim, David M. Berson, & T. Serre. (2018). Sample-efficient image segmentation through recurrence. arXiv (Cornell University). 5 indexed citations

12.

Linsley, Drew, et al.. (2018). Complementary surrounds explain diverse contextual phenomena across visual modalities.. Psychological Review. 125(5). 769–784. 19 indexed citations

13.

Linsley, Drew, et al.. (2018). Global-and-local attention networks for visual recognition. 7 indexed citations

14.

Linsley, Drew, et al.. (2018). Learning to predict action potentials end-to-end from calcium imaging data. 25. 1–6. 2 indexed citations

15.

Linsley, Drew, et al.. (2017). Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition. arXiv (Cornell University). 2 indexed citations

16.

Linsley, Drew, et al.. (2017). What are the Visual Features Underlying Human Versus Machine Vision?. 2706–2714. 17 indexed citations

17.

Linsley, Jeremy W., Linda Groom, Viktor Yarotskyy, et al.. (2016). Congenital myopathy results from misregulation of a muscle Ca ²⁺ channel by mutant Stac3. Proceedings of the National Academy of Sciences. 114(2). E228–E236. 37 indexed citations

18.

Linsley, Drew & Sean P. MacEvoy. (2014). Evidence for participation by object-selective visual cortex in scene category judgments. Journal of Vision. 14(9). 19–19. 15 indexed citations

19.

Linsley, Drew & Sean P. MacEvoy. (2014). Encoding-Stage Crosstalk Between Object- and Spatial Property-Based Scene Processing Pathways. Cerebral Cortex. 25(8). 2267–2281. 14 indexed citations

20.

Buxbaum, Laurel J., Amanda Dawson, & Drew Linsley. (2012). Reliability and validity of the Virtual Reality Lateralized Attention Test in assessing hemispatial neglect in right-hemisphere stroke.. Neuropsychology. 26(4). 430–441. 65 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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