Kristie Seymore

About

Kristie Seymore is a scholar working on Artificial Intelligence, Information Systems and Industrial relations. According to data from OpenAlex, Kristie Seymore has authored 8 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 0 papers in Industrial relations. Recurrent topics in Kristie Seymore’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Speech Recognition and Synthesis (3 papers). Kristie Seymore is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Speech Recognition and Synthesis (3 papers). Kristie Seymore collaborates with scholars based in United States. Kristie Seymore's co-authors include Kamal Nigam, Jason D. M. Rennie, Andrew Kachites McCallum, Roni Rosenfeld, Andrew McCallum, Stanley Chen, Michael Witbrock, M.A. Siegler, Seán Slattery and Alexander G. Hauptmann and has published in prestigious journals such as Information Retrieval, CiteSeer X (The Pennsylvania State University) and OPAL (Open@LaTrobe) (La Trobe University).

In The Last Decade

Co-authorship network of co-authors of Kristie Seymore i

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Fields of papers citing papers by Kristie Seymore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kristie Seymore

Since Specialization

Citations

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