Eric Mitchell

5.1k citations
29 papers · 941 · 4 hit papers · h-index 13

Impact in

Papers in

Eric Mitchell

29 papers receiving 912 citations

Eric Mitchell's Hit Papers

Functional connectomics reveals general wiring rule in mouse visual cortex 2025 · 24 citations
240+1Years since publication50100150200

Peers

Eric Mitchell
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 443
  • Structural Biology 42
  • Biophysics 118
  • Cognitive Neuroscience 215
  • Health Informatics 11
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Citations per field
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Citations per year

Countries citing papers authored by Eric Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Eric Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric Mitchell, 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 Eric Mitchell Line = papers co-authored together Eric Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neuronal wiring diagram of an adult brain
Hit paper breakdown →
2024225
2
Whole-brain annotation and multi-connectome cell typing of Drosophila
Hit paper breakdown →
2024159
3 2021149
4
Functional connectomics spanning multiple areas of mouse visual cortex
Hit paper breakdown →
202564
5 202362
6 202353
7 202335
8
Functional connectomics reveals general wiring rule in mouse visual cortex
Hit paper breakdown →
202524
9 202521
10 202521
11 202419
12 202515
13 202213
14 202512
15 202510
16 20239
17 20258
18 20196
19 20236
20 20205

About Eric Mitchell

Eric Mitchell is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Artificial Intelligence, Cognitive Neuroscience and Structural Biology, having authored 29 papers that have together received 941 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), Topic Modeling (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Adversarial Robustness in Machine Learning (5 papers), Natural Language Processing Techniques (5 papers), Neural dynamics and brain function (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (443 citations), Structural Biology (42 citations), Biophysics (118 citations), Cognitive Neuroscience (215 citations) and Health Informatics (11 citations). Eric Mitchell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Chelsea Finn, Christopher D. Manning, Rafael Rafailov, Stefano Ermon, Huaxiu Yao, H. Sebastian Seung, Patrick Liu, Volkan Isler, Ananth Agarwal and Dan Jurafsky. Their work appears in journals such as Nature, Nature Methods, Nature Communications, Nature Neuroscience and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.

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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