Dario Amodei

17.1k citations
15 papers · 1.2k · h-index 11

Impact in

    • Neural dynamics and brain function
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

Dario Amodei

15 papers receiving 1.1k citations

Peers

Dario Amodei
Comparison fields: 5 of 122
  • Cognitive Neuroscience 350
  • Spectroscopy 235
  • Cell Biology 156
  • Cellular and Molecular Neuroscience 166
  • Statistical and Nonlinear Physics 115
Replace Klaus Schulten with:
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Eiro Muneyuki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Dario Amodei

Since Specialization
Citations

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

Fields of papers citing papers by Dario Amodei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013277
2 2015233
3 2014149
4 2015136
5 2012115
6 2019101
7 201557
8 201219
9 201318
10 200617
11 201617
12 20176
13 20254
14 20032
15
Network-Scale Electrophysiology: Measuring and Understanding the Collective Behavior of Neural Circuits
20112

About Dario Amodei

Dario Amodei is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Artificial Intelligence and Spectroscopy, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Advanced Proteomics Techniques and Applications (3 papers), Neuroscience and Neural Engineering (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Neural Networks and Applications (2 papers), Photoreceptor and optogenetics research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (350 citations), Spectroscopy (235 citations), Cell Biology (156 citations), Cellular and Molecular Neuroscience (166 citations) and Statistical and Nonlinear Physics (115 citations). Dario Amodei has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Olivier Marre, Parag Mallick, Gašper Tkačik, William Bialek, Michael J. Berry, Brendan MacLean, Michael J. Berry, Ben C. Collins, George Rosenberger and Ruedi Aebersold. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Protocols, PLoS Computational Biology, Journal of Neuroscience and Journal of the American Society for Mass Spectrometry.

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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