Matthew Lamm

8 papers and 88 indexed citations i.

About

Matthew Lamm is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Matthew Lamm has authored 8 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Matthew Lamm’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Matthew Lamm is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Matthew Lamm collaborates with scholars based in United States, Denmark and Sweden. Matthew Lamm's co-authors include Michael J. Collins, Eunsol Choi, Jennimaria Palomaki, Ian Tenney, Bhargavi Paranjape, Percy Liang, Tom Kwiatkowski, Dipanjan Das, Daniel Selsam and Benedikt Bünz and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Theory and applications of categories and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Matthew Lamm i

Fields of papers citing papers by Matthew Lamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Lamm

Since Specialization
Citations

This map shows the geographic impact of Matthew Lamm'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 Matthew Lamm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lamm 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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2026