Rebecca Hwa

48 papers and 1.1k indexed citations i.

About

Rebecca Hwa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rebecca Hwa has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Rebecca Hwa’s work include Natural Language Processing Techniques (33 papers), Topic Modeling (32 papers) and Text Readability and Simplification (8 papers). Rebecca Hwa is often cited by papers focused on Natural Language Processing Techniques (33 papers), Topic Modeling (32 papers) and Text Readability and Simplification (8 papers). Rebecca Hwa collaborates with scholars based in United States, United Kingdom and Canada. Rebecca Hwa's co-authors include Janyce Wiebe, Theresa Wilson, Amy Weinberg, Clara I. Cabezas, Philip Resnik, Okan Kolak, Julia Hockenmaier, Miles Osborne, Mark Steedman and Stephen Clark and has published in prestigious journals such as Medical Care, Physica D Nonlinear Phenomena and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Rebecca Hwa i

Fields of papers citing papers by Rebecca Hwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rebecca Hwa

Since Specialization
Citations

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