Matthew Hausknecht

16 papers and 1.6k indexed citations i.

About

Matthew Hausknecht is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Matthew Hausknecht has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Matthew Hausknecht’s work include Topic Modeling (4 papers), Artificial Intelligence in Games (3 papers) and Natural Language Processing Techniques (3 papers). Matthew Hausknecht is often cited by papers focused on Topic Modeling (4 papers), Artificial Intelligence in Games (3 papers) and Natural Language Processing Techniques (3 papers). Matthew Hausknecht collaborates with scholars based in United States, United Kingdom and India. Matthew Hausknecht's co-authors include Oriol Vinyals, Sudheendra Vijayanarasimhan, George Toderici, Rajat Monga, Joe Yue-Hei Ng, Peter Stone, Tsz-Chiu Au, Risto Miikkulainen, Joel Lehman and Marlos C. Machado and has published in prestigious journals such as Journal of Experimental Psychology General, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

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

Fields of papers citing papers by Matthew Hausknecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Hausknecht

Since Specialization
Citations

This map shows the geographic impact of Matthew Hausknecht'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 Hausknecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hausknecht 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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2025