Michael Wayne Goodman

873 citations
35 papers · 700 · h-index 15

Impact in

    • Advancements in Transdermal Drug Delivery
    • Advanced Drug Delivery Systems
    • Dermatology and Skin Diseases
    • Contact Dermatitis and Allergies

Papers in

    • Natural Language Processing Techniques 19
    • Topic Modeling 18
    • Speech and dialogue systems 6
    • Semantic Web and Ontologies 5
    • Text Readability and Simplification 3
    • Biomedical Text Mining and Ontologies 3

Michael Wayne Goodman

33 papers receiving 630 citations

Peers

Michael Wayne Goodman
Comparison fields: 5 of 95
  • Pharmaceutical Science 278
  • Dermatology 146
  • Hepatology 56
  • Pharmacology 39
  • Clinical Biochemistry 25
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Citations per year

Countries citing papers authored by Michael Wayne Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wayne Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Wayne Goodman. 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 Michael Wayne Goodman. The network helps show where Michael Wayne Goodman may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Wayne Goodman, 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 Michael Wayne Goodman Line = papers co-authored together Michael Wayne Goodman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988126
2 198990
3 198380
4 198450
5 198538
6 198632
7 198424
8 200924
9 198223
10 199723
11 201320
12
Grammar Prototyping and Testing with the LinGO Grammar Matrix Customization System
201018
13
Towards Creating Precision Grammars from Interlinear Glossed Text: Inferring Large-Scale Typological Properties
201317
14 202017
15 198714
16 200112
17 201912
18 201411
19 198110
20 201610

About Michael Wayne Goodman

Michael Wayne Goodman is a scholar working on Artificial Intelligence, Molecular Biology, Surgery, Dermatology and Pharmacology, having authored 35 papers that have together received 700 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers), Speech and dialogue systems (6 papers), Semantic Web and Ontologies (5 papers), Text Readability and Simplification (3 papers), Biomedical Text Mining and Ontologies (3 papers), Metabolism and Genetic Disorders (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Pharmaceutical Science (278 citations), Dermatology (146 citations), Hepatology (56 citations), Pharmacology (39 citations) and Clinical Biochemistry (25 citations). Michael Wayne Goodman has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Brian Barry, Philip L. Gould, Emily M. Bender, Robert A. Gill, Gerald R. Onstad, Melvin P. Bubrick, Leslie Zieve, William F. Keane, Frank B. Cerra and Frank N. Konstantinides. Their work appears in journals such as Language Resources and Evaluation, American Journal of Physiology-Gastrointestinal and Liver Physiology, International Journal of Pharmaceutics, Journal of Pharmacy and Pharmacology and Journal of Investigative Dermatology.

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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