John Thickstun

About

John Thickstun is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Thickstun has authored 7 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Thickstun’s work include Music and Audio Processing (4 papers), Music Technology and Sound Studies (3 papers) and Topic Modeling (3 papers). John Thickstun is often cited by papers focused on Music and Audio Processing (4 papers), Music Technology and Sound Studies (3 papers) and Topic Modeling (3 papers). John Thickstun collaborates with scholars based in United States, Germany and Poland. John Thickstun's co-authors include Bhargavi Paranjape, Mandar Joshi, Hannaneh Hajishirzi, Luke Zettlemoyer, Sham M. Kakade, Zaïd Harchaoui, Dean P. Foster, Harsh Kumar Verma, Swabha Swayamdipta and Christopher D. Manning and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of John Thickstun i

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Fields of papers citing papers by John Thickstun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Thickstun

Since Specialization

Citations

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