Tom Pollard

39 papers receiving 8.8k citations

Tom Pollard's Hit Papers

MIMIC-IV, a freely accessible electronic health record dataset 2023 · 1.1k citations
1.1k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Tom Pollard
Comparison fields: 5 of 175
  • Health Informatics 796
  • Health Information Management 1.1k
  • Artificial Intelligence 4.4k
  • Critical Care and Intensive Care Medicine 707
  • Nephrology 635
Replace Alistair E. W. Johnson with:
Alistair E. W. Johnson United States
Mengling Feng Singapore
Benjamin Moody United States
Mohammad M. Ghassemi United States
Michael E. Matheny United States
Leo Anthony Celi United States
Ameen Abu‐Hanna Netherlands
Matthew M. Churpek United States
Azra Bihorac United States
Girish N. Nadkarni United States
Tom Pollard relative to Alistair E. W. Johnson United States Alistair E. W. Johnson's profile →
Citations per field
00.5×1.5×
Alistair E. W. Johnson · 1×
Citations per year

Countries citing papers authored by Tom Pollard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 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 →
20164655
2
MIMIC-IV, a freely accessible electronic health record dataset
Hit paper breakdown →
20231072
3
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Hit paper breakdown →
2018936
4
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
Hit paper breakdown →
2019773
5
Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
Hit paper breakdown →
2018332
6
The MIMIC Code Repository: enabling reproducibility in critical care research
Hit paper breakdown →
2017273
7 2015155
8 2018120
9 2018112
10 201465
11
Reproducibility in critical care: a mortality prediction case study
201762
12 201559
13 201652
14 201932
15 201628
16 202024
17 202222
18
Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
201419
19 202118
20 201717

About Tom Pollard

Tom Pollard is a scholar working on Artificial Intelligence, Epidemiology, Health Informatics, Health Information Management and Information Systems and Management, having authored 41 papers that have together received 9.0k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (13 papers), Sepsis Diagnosis and Treatment (13 papers), Artificial Intelligence in Healthcare and Education (9 papers), Electronic Health Records Systems (5 papers), Scientific Computing and Data Management (5 papers), Healthcare Technology and Patient Monitoring (4 papers), Artificial Intelligence in Healthcare (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (796 citations), Health Information Management (1.1k citations), Artificial Intelligence (4.4k citations), Critical Care and Intensive Care Medicine (707 citations) and Nephrology (635 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, npj Digital Medicine and PLoS ONE.

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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