Mathew Monfort

About

Mathew Monfort is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mathew Monfort has authored 10 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Mathew Monfort’s work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (2 papers). Mathew Monfort is often cited by papers focused on Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (2 papers). Mathew Monfort collaborates with scholars based in United States, Hong Kong and China. Mathew Monfort's co-authors include Aude Oliva, Wongun Choi, Yizhou Wang, Ying Wu, Yifei Xu, Yibiao Zhao, Chris Baker, Quanfu Fan, Bolei Zhou and Dan Gutfreund and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Mathew Monfort i

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Fields of papers citing papers by Mathew Monfort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mathew Monfort

Since Specialization

Citations

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