William Merrill
Impact in
- Health top 10%
- Health disparities and outcomes
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
-
- Natural Language Processing Techniques 11
- Topic Modeling 10
- Machine Learning and Algorithms 2
-
- Inhalation and Respiratory Drug Delivery 2
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
- Co-authors
- Ky Tran (1 shared paper)William Fisher (1 shared paper)Karen B. DeSalvo (1 shared paper)John Peabody (1 shared paper)Margaret Hitchcock (1 shared paper)John A. Rankin (1 shared paper)Philip W. Askenase (1 shared paper)John R. Brashler (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (4 papers)Respiration (1 paper)Quality of Life Research (1 paper)European Respiratory Journal (1 paper)Nature (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
William Merrill
19 papers receiving 808 citations
Peers
Comparison fields: 5 of 143
- Health 100
- Hepatology 89
- Neuropsychology and Physiological Psychology 11
- Immunology and Allergy 41
- Physiology 159
Countries citing papers authored by William Merrill
This map shows the geographic impact of William Merrill'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 William Merrill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Merrill more than expected).
Fields of papers citing papers by William Merrill
This network shows the impact of papers produced by William Merrill. 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 William Merrill. The network helps show where William Merrill may publish in the future.
Co-authors
The 25 scholars most cited alongside William Merrill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 331 | |
| 2 | 1982 | 135 | |
| 3 | 1996 | 112 | |
| 4 | 1982 | 77 | |
| 5 | 2022 | 72 | |
| 6 | 2021 | 46 | |
| 7 | 1979 | 25 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 1988 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 1990 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2003 | 1 | |
| 20 | 2025 | 0 |
About William Merrill
William Merrill is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Epidemiology and Cultural Studies, having authored 20 papers that have together received 850 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers), Multimodal Machine Learning Applications (2 papers), Machine Learning and Algorithms (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Language and cultural evolution (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Health Promotion and Cardiovascular Prevention (1 paper). The work is most often cited by research in Health (100 citations), Hepatology (89 citations), Neuropsychology and Physiological Psychology (11 citations), Immunology and Allergy (41 citations) and Physiology (159 citations). William Merrill has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Ky Tran, William Fisher, Karen B. DeSalvo, John Peabody, Margaret Hitchcock, John A. Rankin, Philip W. Askenase, John R. Brashler, Michael K. Bach and Roberto J. Groszmann. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Respiration, Quality of Life Research, European Respiratory Journal and Nature.
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.