Allan Raventos

About

Allan Raventos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Allan Raventos has authored 3 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Allan Raventos’s work include Advanced Neural Network Applications (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Allan Raventos is often cited by papers focused on Advanced Neural Network Applications (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Allan Raventos collaborates with scholars based in United States and France. Allan Raventos's co-authors include Adrien Gaidon, Vitor Guizilini, Rareș Ambruș, Sudeep Pillai, Jie Li, Jerome P. Lynch, Guy Rosman, Zhangjie Cao, Erdem Bıyık and Dorsa Sadigh and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Allan Raventos i

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Fields of papers citing papers by Allan Raventos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Allan Raventos

Since Specialization

Citations

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