William Schuler

46 papers and 548 indexed citations i.

About

William Schuler is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, William Schuler has authored 46 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 15 papers in Cognitive Neuroscience and 8 papers in Developmental and Educational Psychology. Recurrent topics in William Schuler’s work include Natural Language Processing Techniques (27 papers), Topic Modeling (24 papers) and Neurobiology of Language and Bilingualism (15 papers). William Schuler is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (24 papers) and Neurobiology of Language and Bilingualism (15 papers). William Schuler collaborates with scholars based in United States, India and Italy. William Schuler's co-authors include Marten van Schijndel, Cory Shain, Evelina Fedorenko, Idan Blank, Lane Schwartz, Tim Miller, Samir Abdelrahman, Lifeng Jin, Aravind K. Joshi and Edward Gibson and has published in prestigious journals such as Journal of Neuroscience, Neuropsychologia and Cognition.

In The Last Decade

Co-authorship network of co-authors of William Schuler i

Fields of papers citing papers by William Schuler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William Schuler

Since Specialization
Citations

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