Ann Bies

25 papers and 274 indexed citations i.

About

Ann Bies is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ann Bies has authored 25 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ann Bies’s work include Natural Language Processing Techniques (21 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (6 papers). Ann Bies is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (15 papers) and Semantic Web and Ontologies (6 papers). Ann Bies collaborates with scholars based in United States, China and Sweden. Ann Bies's co-authors include Seth Kulick, Mohamed Maamouri, Martha Palmer, Mark A. Mandel, Andrew I. Schein, Ryan McDonald, Mark Liberman, Stephanie Strassel, Nizar Habash and Zhiyi Song and has published in prestigious journals such as Language Resources and Evaluation, Theory and applications of categories and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Ann Bies i

Fields of papers citing papers by Ann Bies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ann Bies

Since Specialization
Citations

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