Tom Pollard
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.02%
- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning in Healthcare 10
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- Artificial Intelligence in Healthcare and Education 9
- Co-authors
- Alistair E. W. Johnson (23 shared papers)Leo Anthony Celi (26 shared papers)Roger G. Mark (11 shared papers)Benjamin Moody (2 shared papers)Mengling Feng (4 shared papers)Mohammad M. Ghassemi (2 shared papers)Peter Szolovits (1 shared paper)Jesse D. Raffa (9 shared papers)
- Journals
- Scientific Data (6 papers)Critical Care Medicine (5 papers)Journal of Medical Internet Research (2 papers)PLoS ONE (2 papers)npj Digital Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Tom Pollard
41 papers receiving 9.3k citations
Tom Pollard's Hit Papers
Peers
Comparison fields: 5 of 173
- Health Informatics 677
- Health Information Management 926
- Artificial Intelligence 3.7k
- Critical Care and Intensive Care Medicine 362
- Nephrology 424
Countries citing papers authored by Tom Pollard
This map shows the geographic impact of Tom Pollard'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 Tom Pollard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Pollard more than expected).
Fields of papers citing papers by Tom Pollard
This network shows the impact of papers produced by Tom Pollard. 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 Tom Pollard. The network helps show where Tom Pollard may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Pollard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MIMIC-III, a freely accessible critical care database Hit paper breakdown → | 2016 | 4810 |
| 2 | MIMIC-IV, a freely accessible electronic health record dataset Hit paper breakdown → | 2023 | 1264 |
| 3 | The eICU Collaborative Research Database, a freely available multi-center database for critical care research Hit paper breakdown → | 2018 | 1004 |
| 4 | MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports Hit paper breakdown → | 2019 | 823 |
| 5 | Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts Hit paper breakdown → | 2018 | 350 |
| 6 | The MIMIC Code Repository: enabling reproducibility in critical care research Hit paper breakdown → | 2017 | 281 |
| 7 | 2015 | 162 | |
| 8 | 2018 | 128 | |
| 9 | 2018 | 121 | |
| 10 | 2014 | 65 | |
| 11 | Reproducibility in critical care: a mortality prediction case study | 2017 | 62 |
| 12 | 2015 | 61 | |
| 13 | 2016 | 53 | |
| 14 | 2019 | 34 | |
| 15 | 2016 | 27 | |
| 16 | 2020 | 26 | |
| 17 | 2022 | 24 | |
| 18 | 2024 | 19 | |
| 19 | Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference | 2014 | 19 |
| 20 | 2017 | 18 |
About Tom Pollard
Tom Pollard is a scholar working on Artificial Intelligence, Health Informatics, Epidemiology, Health Information Management and Surgery, having authored 42 papers that have together received 9.5k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (10 papers), Sepsis Diagnosis and Treatment (9 papers), Artificial Intelligence in Healthcare and Education (9 papers), Electronic Health Records Systems (5 papers), Artificial Intelligence in Healthcare (4 papers), Healthcare Technology and Patient Monitoring (4 papers), Scientific Computing and Data Management (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (677 citations), Health Information Management (926 citations), Artificial Intelligence (3.7k citations), Critical Care and Intensive Care Medicine (362 citations) and Nephrology (424 citations). Tom Pollard has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alistair E. W. Johnson, Leo Anthony Celi, Roger G. Mark, Benjamin Moody, Mengling Feng, Mohammad M. Ghassemi, Peter Szolovits, Jesse D. Raffa, Steven Horng and Omar Badawi. Their work appears in journals such as Scientific Data, Critical Care Medicine, Journal of Medical Internet Research, PLoS ONE and npj Digital Medicine.
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.