Dan Fass

11 papers and 219 indexed citations i.

About

Dan Fass is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Dan Fass has authored 11 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Dan Fass’s work include Natural Language Processing Techniques (6 papers), Language, Metaphor, and Cognition (3 papers) and Speech and dialogue systems (3 papers). Dan Fass is often cited by papers focused on Natural Language Processing Techniques (6 papers), Language, Metaphor, and Cognition (3 papers) and Speech and dialogue systems (3 papers). Dan Fass collaborates with scholars based in United States, Canada and Germany. Dan Fass's co-authors include Yorick Wilks, Brian M. Slator, Tony Plate, James E. McDonald, Vivian J. Cook, Fred Popowich, Nick Cercone, Yue Huang, Yandong Cai and James Martin and has published in prestigious journals such as System, Computational Linguistics and Data & Knowledge Engineering.

In The Last Decade

Co-authorship network of co-authors of Dan Fass i

Fields of papers citing papers by Dan Fass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Fass

Since Specialization
Citations

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