Michael Matena

About

Michael Matena is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Michael Matena has authored 2 papers receiving a total of 698 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 0 papers in Industrial relations. Recurrent topics in Michael Matena’s work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Michael Matena is often cited by papers focused on Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Michael Matena collaborates with scholars based in and . Michael Matena's co-authors include Noam Shazeer, Yanqi Zhou, Sharan Narang, Colin Raffel, Adam P. Roberts, Katherine Lee, Wei Li, Jake Marcus, Hyung Won Chung and Thibault Févry and has published in prestigious journals such as Journal of Machine Learning Research and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Michael Matena i

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Fields of papers citing papers by Michael Matena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Matena

Since Specialization

Citations

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