Cheryl Clark

836 citations
21 papers · 619 · h-index 11

Impact in

Papers in

    • Topic Modeling 4
    • Neural Networks and Applications 3
    • Natural Language Processing Techniques 3
    • Advanced Text Analysis Techniques 2
    • Machine Learning in Healthcare 2
    • Biomedical Text Mining and Ontologies 4

Cheryl Clark

20 papers receiving 593 citations

Peers

Cheryl Clark
Comparison fields: 5 of 90
  • Health Information Management 58
  • Health Informatics 11
  • Artificial Intelligence 255
  • Toxicology 19
  • Molecular Biology 215
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Citations per field
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Citations per year

Countries citing papers authored by Cheryl Clark

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cheryl Clark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cheryl Clark Line = papers co-authored together Cheryl Clark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010119
2 201482
3 201480
4 200763
5 201252
6
Cohesion in spoken and written English
198645
7 200838
8 201137
9 201324
10 202017
11 199510
12 20139
13 20179
14 19989
15
The Mayo/MITRE System for Discovery of Obesity and Its Comorbidities
20087
16 19996
17 20194
18 20203
19 20213
20 20101

About Cheryl Clark

Cheryl Clark is a scholar working on Artificial Intelligence, Molecular Biology, Computer Networks and Communications, Health Information Management and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 619 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Biomedical Text Mining and Ontologies (4 papers), Neural Networks and Applications (3 papers), Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (2 papers), Machine Learning in Healthcare (2 papers), Scientific Research and Discoveries (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Health Information Management (58 citations), Health Informatics (11 citations), Artificial Intelligence (255 citations), Toxicology (19 citations) and Molecular Biology (215 citations). Cheryl Clark has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Lynette Hirschman, John Aberdeen, Ben Wellner, Samuel Bayer, Scott Halgrim, Bradley Malin, David Carrell, David A. Hanauer, Reyyan Yeniterzi and Christopher G. Chute. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Remote Sensing, International Journal of Medical Informatics, Drug Safety and Journal of Biomedical Semantics.

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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