Drew Linsley

841 citations
23 papers · 509 · h-index 11

Impact in

Papers in

Drew Linsley

21 papers receiving 502 citations

Peers

Drew Linsley
Comparison fields: 5 of 89
  • Health Informatics 17
  • Cognitive Neuroscience 122
  • Neurology 82
  • Genetics 55
  • Computer Vision and Pattern Recognition 71
Replace Jaeson Jang with:
Jaeson Jang South Korea
Folkert K. Horn Germany
Youn Kim Hong Kong
Daniel Gibson United States
Xiaojun Huang China
Mathew Abrams Sweden
Shuangqing Chen China
Julien Dauguet France
José Luis López Lorenzo Spain
Vito Paolo Pastore Italy
Drew Linsley relative to Jaeson Jang South Korea Jaeson Jang's profile →
Citations per field
00.5×8.3×
Jaeson Jang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Drew Linsley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Drew Linsley Line = papers co-authored together Drew Linsley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019198
2 201973
3 201265
4 201637
5 201819
6 201717
7 202215
8 201415
9 201414
10 202112
11 202211
12 20229
13 20187
14
Sample-efficient image segmentation through recurrence
20185
15
Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition
20172
16 20222
17 20232
18 20242
19 20182
20
Tracking Without Re-recognition in Humans and Machines.
20211

About Drew Linsley

Drew Linsley is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics and Molecular Biology, having authored 23 papers that have together received 509 indexed citations. Recurring topics across this work include Face Recognition and Perception (9 papers), Visual Attention and Saliency Detection (8 papers), Visual perception and processing mechanisms (8 papers), Neural dynamics and brain function (6 papers), Cell Image Analysis Techniques (5 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Health Informatics (17 citations), Cognitive Neuroscience (122 citations), Neurology (82 citations), Genetics (55 citations) and Computer Vision and Pattern Recognition (71 citations). Drew Linsley has collaborated with scholars based in United States, France and Canada. Frequent co-authors include T. Serre, Laurel J. Buxbaum, Amanda Dawson, Jeremy W. Linsley, Sean P. MacEvoy, Steven Finkbeiner, Nicholas A. Castello, Ashkan Javaherian, Paul Bushway and Joseph W. Lewcock. Their work appears in journals such as Journal of Vision, Trends in Cognitive Sciences, Behavioral and Brain Sciences, Science Advances and Psychological Review.

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