Oscar Michel

13 total papers · 555 total citations
2 papers, 225 citations indexed

About

Oscar Michel is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Infectious Diseases. According to data from OpenAlex, Oscar Michel has authored 2 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Industrial and Manufacturing Engineering and 0 papers in Infectious Diseases. Recurrent topics in Oscar Michel's work include Human Pose and Action Recognition (1 paper), Advanced Neural Network Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Oscar Michel is often cited by papers focused on Human Pose and Action Recognition (1 paper), Advanced Neural Network Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Oscar Michel collaborates with scholars based in United States. Oscar Michel's co-authors include Ludwig Schmidt, Eli VanderBilt, Jordi Salvador, Dustin Schwenk, Matt Deitke, Aniruddha Kembhavi, Ali Farhadi, Luca Weihs, William T. Freeman and Noah A. Smith and has published in prestigious journals such as .

In The Last Decade

Oscar Michel

1 paper receiving 217 citations

Hit Papers

Objaverse: A Universe of ... 2023 2026 2024 2023 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Oscar Michel 149 96 95 32 30 2 225
Matt Deitke 153 1.0× 96 1.0× 95 1.0× 32 1.0× 31 1.0× 4 231
Eli VanderBilt 161 1.1× 98 1.0× 96 1.0× 32 1.0× 35 1.2× 3 245
Basile Van Hoorick 215 1.4× 125 1.3× 137 1.4× 30 0.9× 40 1.3× 3 299
Taoran Yi 132 0.9× 57 0.6× 69 0.7× 14 0.4× 14 0.5× 3 190
Yawar Siddiqui 155 1.0× 126 1.3× 128 1.3× 31 1.0× 11 0.4× 8 226
Jhony Kaesemodel Pontes 187 1.3× 102 1.1× 82 0.9× 20 0.6× 11 0.4× 6 255
Tianchang Shen 191 1.3× 140 1.5× 175 1.8× 26 0.8× 16 0.5× 7 255
Boyang Deng 211 1.4× 160 1.7× 184 1.9× 32 1.0× 11 0.4× 4 283
Martin Rünz 150 1.0× 87 0.9× 60 0.6× 40 1.3× 26 0.9× 6 197
Philipp Henzler 220 1.5× 100 1.0× 110 1.2× 46 1.4× 13 0.4× 9 299

Countries citing papers authored by Oscar Michel

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Michel

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

All Works

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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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