Marshall Nichols
- Artificial Intelligence top 10%
- Epidemiology
- Health Informatics top 0.5%
- Public Health, Environmental and Occupational Health
- Health Information Management top 2%
- Co-authors
- Michael GaoMark SendakSuresh BaluJay PershadPaul A. PalmisanoJoseph FutomaWilliam RatliffCara O’Brien
- Topics
- Machine Learning in Healthcare (7 papers)Respiratory viral infections research (5 papers)Influenza Virus Research Studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Lancet Infectious DiseasesFrontiers in Microbiology
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
Marshall Nichols
23 papers receiving 704 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 201
- Epidemiology 186
- Health Informatics 155
- Public Health, Environmental and Occupational Health 94
- Health Information Management 79
Countries citing papers authored by Marshall Nichols
This map shows the geographic impact of Marshall Nichols'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 Marshall Nichols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marshall Nichols more than expected).
Fields of papers citing papers by Marshall Nichols
This network shows the impact of papers produced by Marshall Nichols. 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 Marshall Nichols. The network helps show where Marshall Nichols may publish in the future.
Co-authorship network of co-authors of Marshall Nichols
This figure shows the co-authorship network connecting the top 25 collaborators of Marshall Nichols. A scholar is included among the top collaborators of Marshall Nichols 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 Marshall Nichols. Marshall Nichols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 88 | |
| 11 | 103 | |
| 12 | 51 | |
| 13 | 11 | |
| 14 | 49 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 26 | |
| 19 | 26 | |
| 20 | Anomalous origin and malposition of the pulmonary arteries (crisscross pulmonary arteries) associated with complex congenital heart disease. | 21 |
About Marshall Nichols
Marshall Nichols is a scholar working on Health Informatics, Health Information Management and Geriatrics and Gerontology, having authored 24 papers that have together received 715 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Respiratory viral infections research (5 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Health Informatics (155 citations), Health Information Management (79 citations) and Anesthesiology and Pain Medicine (63 citations). Marshall Nichols has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include Michael Gao, Mark Sendak, Suresh Balu, Jay Pershad, Paul A. Palmisano, Joseph Futoma, William Ratliff, Cara O’Brien, Armando Bedoya and Kristin Corey. Their work appears in journals such as SHILAP Revista de lepidopterología, The Lancet Infectious Diseases and Frontiers in Microbiology.
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.