Maxime Oquab

6 papers and 1.7k indexed citations i.

About

Maxime Oquab is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maxime Oquab has authored 6 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maxime Oquab’s work include Functional Brain Connectivity Studies (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Video Analysis and Summarization (1 paper). Maxime Oquab is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Video Analysis and Summarization (1 paper). Maxime Oquab collaborates with scholars based in France, Israel and United States. Maxime Oquab's co-authors include Josef Šivic, Léon Bottou, Ivan Laptev, David López-Paz, Jean-Rémi King, Daniel Haziza, Pierre Stock, Onur Çelebi, Yana Hasson and François Charton and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Maxime Oquab i

Fields of papers citing papers by Maxime Oquab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxime Oquab

Since Specialization
Citations

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

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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