David Kauchak

1.7k total citations
45 papers, 1.1k citations indexed

About

David Kauchak is a scholar working on Artificial Intelligence, General Health Professions and Information Systems. According to data from OpenAlex, David Kauchak has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 13 papers in General Health Professions and 5 papers in Information Systems. Recurrent topics in David Kauchak's work include Text Readability and Simplification (30 papers), Topic Modeling (27 papers) and Natural Language Processing Techniques (22 papers). David Kauchak is often cited by papers focused on Text Readability and Simplification (30 papers), Topic Modeling (27 papers) and Natural Language Processing Techniques (22 papers). David Kauchak collaborates with scholars based in United States, Canada and Denmark. David Kauchak's co-authors include Gondy Leroy, Regina Barzilay, Charles Elkan, Rasmus Elsborg Madsen, Will Coster, Cathryn A. Manduca, James E. Endicott, Francine Chen, Sonia Colina and Nicole P. Yuan and has published in prestigious journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Journal of Machine Learning Research.

In The Last Decade

David Kauchak

41 papers receiving 1.0k citations

Peers

David Kauchak

GHP

CVPR

Mary Swift United States

Matthew Shardlow United Kingdom

Ralf D. Brown United States

Bruno Pouliquen France

Emily Pitler United States

Samuel Brody United States

Seda Özmutlu Türkiye

Diego Mollá Australia

Helmut Horacek Germany

Donald Hindle United States

Mary Swift United States

David Kauchak

532 ×0.6

76 ×0.6

GHP

51 ×0.6

56 ×0.7

CVPR

44 ×0.7

Citations per year, relative to David Kauchak David Kauchak (= 1×) peers Mary Swift

Countries citing papers authored by David Kauchak

Since Specialization

Citations

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

Fields of papers citing papers by David Kauchak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kauchak

This figure shows the co-authorship network connecting the top 25 collaborators of David Kauchak. A scholar is included among the top collaborators of David Kauchak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Kauchak. David Kauchak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Leroy, Gondy, et al.. (2024). Influence of Audio Speech Rate and Source Text Difficulty on Health Information Comprehension and Retention. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2024. 3567–3576.

Kauchak, David, et al.. (2023). Cross-Language Music Recommendation Exploration. 664–668.

Leroy, Gondy, Han Lu, David Kauchak, et al.. (2023). Audio delivery of health information: An NLP study of information difficulty and bias in listeners. Procedia Computer Science. 219. 1509–1517. 2 indexed citations

Kauchak, David, et al.. (2022). Improving the Quality of Suggestions for Medical Text Simplification Tools.. PubMed. 2022. 284–292. 1 indexed citations

Kauchak, David & Gondy Leroy. (2020). A Web-Based Medical Text Simplification Tool. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 4 indexed citations

Leroy, Gondy & David Kauchak. (2019). A comparison of text versus audio for information comprehension with future uses for smart speakers. JAMIA Open. 2(2). 254–260. 2 indexed citations

Leroy, Gondy, et al.. (2018). Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish. Journal of Medical Internet Research. 20(8). e10779–e10779. 18 indexed citations

Leroy, Gondy, et al.. (2017). NegAIT: A new parser for medical text simplification using morphological, sentential and double negation. Journal of Biomedical Informatics. 69. 55–62. 19 indexed citations

Kauchak, David, et al.. (2016). Grammar frequency and simplification: when intuition fails.. AMIA. 1 indexed citations

10.

Leroy, Gondy, et al.. (2016). Effects on Text Simplification: Evaluation of Splitting Up Noun Phrases. Journal of Health Communication. 21(sup1). 18–26. 9 indexed citations

11.

Kauchak, David & Gondy Leroy. (2016). Moving Beyond Readability Metrics for Health-Related Text Simplification. IT Professional. 18(3). 45–51. 26 indexed citations

12.

Kauchak, David. (2013). Improving Text Simplification Language Modeling Using Unsimplified Text Data. Meeting of the Association for Computational Linguistics. 1537–1546. 85 indexed citations

13.

Kauchak, David, et al.. (2013). Sentence Simplification as Tree Transduction. Meeting of the Association for Computational Linguistics. 1–10. 20 indexed citations

14.

Leroy, Gondy, et al.. (2013). A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty. International Journal of Medical Informatics. 82(8). 717–730. 25 indexed citations

15.

Leroy, Gondy, et al.. (2013). User Evaluation of the Effects of a Text Simplification Algorithm Using Term Familiarity on Perception, Understanding, Learning, and Information Retention. Journal of Medical Internet Research. 15(7). e144–e144. 60 indexed citations

16.

Leroy, Gondy & David Kauchak. (2013). The effect of word familiarity on actual and perceived text difficulty. Journal of the American Medical Informatics Association. 21(e1). e169–e172. 42 indexed citations

17.

Kauchak, David, et al.. (2012). A Systematic Grammatical Analysis of Easy and Difficult Medical Text.. AMIA. 2 indexed citations

18.

Coster, Will & David Kauchak. (2011). Learning to Simplify Sentences Using Wikipedia. Meeting of the Association for Computational Linguistics. 1–9. 79 indexed citations

19.

Kauchak, David, et al.. (2011). Simple English Wikipedia: A New Text Simplification Task. Meeting of the Association for Computational Linguistics. 665–669. 137 indexed citations

20.

Kauchak, David, et al.. (2004). Sources of Success for Boosted Wrapper Induction. Journal of Machine Learning Research. 5. 499–527. 7 indexed citations

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.

Explore authors with similar magnitude of impact