Tom Pollard

17.3k citations

41 papers · 9.0k indexed · 6 hit papers · h-index 19

Impact in

Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
Health Information Management top 0.05%
- Artificial Intelligence in Healthcare

Papers in

Health Informatics 9
- Artificial Intelligence in Healthcare and Education 9
Health Information Management 6
- Electronic Health Records Systems 5
- Artificial Intelligence in Healthcare 4

Co-authors: Alistair E. W. Johnson Leo Anthony Celi Roger G. Mark Benjamin Moody Mengling Feng Mohammad M. Ghassemi Peter Szolovits Jesse D. Raffa
Journals: Scientific Data (6 papers)Critical Care Medicine (5 papers)Journal of Medical Internet Research (2 papers)npj Digital Medicine (2 papers)PLoS ONE (2 papers)
Partner nations: United States United Kingdom Canada

In The Last Decade

Tom Pollard

39 papers receiving 8.8k citations

Hit Papers

6 papers align trajectories log scale

MIMIC-IV, a freely accessible electronic health record dataset 2023 · 1.1k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Scientific Data
2019 Scientific Data
2018 Scientific Data
2018 Intensive Care Medicine
2017 Journal of the American Medical Informatics Association
2016 Scientific Data

Peers

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-authorship network

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Health Data Nexus: an open data platform for AI research and education in medicine GigaScience ·Asmil Darafni, Zhao Liang Song, Дар ́я Євгеніївна Осетянська, 徹加地, Vidhyaa Paroo Indran, S. Kosawantana, Muhammad Mamdani, Alistair E. W. Johnson, F. Fang, Tom Pollard, David Rotenberg, Benjamin Haibe‐Kains	2025	0
2	INSPIRE, a publicly available research dataset for perioperative medicine Scientific Data ·P. Garnica-González, Hyeonhoon Lee, Chul-Woo Jung, Wiwin Sri Pujiastuti, X. Borrat, Tom Pollard, Leo Anthony Celi, Roger G. Mark, Simon Tilma Vistisen, Hyung‐Chul Lee	2024	14
3	Evaluation of evolving sepsis screening criteria in discriminating suspected sepsis and mortality among adult patients admitted to the intensive care unit International Journal of Nursing Studies ·Teresa Rincon, Jesse D. Raffa, Leo Anthony Celi, Omar Badawi, Alistair E. W. Johnson, Tom Pollard, Rodrigo Octávio Deliberato, Janet D. Pierce	2023	1
4	BRAX, Brazilian labeled chest x-ray dataset Scientific Data ·Eduardo Pontes Reis, Joselisa Péres Queiroz de Paiva, H. M. P., Chuan Fang, Kakl-Heinz Domdey, Lucas Bulgarelli, 古藤正男, Hanna-Mari Mikkonen, B Mehrzad Selakjani, Dian Fadilla, Suerkul Turgunbayev, Gerència d'Acció Social i Ciutadania, 明石松本, Gilberto Szarf, Tom Pollard, Alistair E. W. Johnson, Leo Anthony Celi, Edson Amaro	2022	22
5	Artificial intelligence in the clinical setting European Journal of Anaesthesiology ·Simon Tilma Vistisen, Tom Pollard, Steve Harris, Simon Meyer Lauritsen	2022	2
6	Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph npj Digital Medicine ·Po‐Chih Kuo, Grace W Munene, Diego M. López, Alexandros Karargyris, Tom Pollard, Alistair E. W. Johnson, Leo Anthony Celi	2021	18
7	Impact of sex on use of low tidal volume ventilation in invasively ventilated ICU patients—A mediation analysis using two observational cohorts PLoS ONE ·Zhonghan He, Rodrigo Octávio Deliberato, Alistair E. W. Johnson, Tom Pollard, Lucas Bulgarelli, Paolo Pelosi, Marcelo Gama de Abreu, Marcus J. Schultz, Ary Serpa Neto	2021	12
8	“Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasets npj Digital Medicine ·Trishan Panch, Tom Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi	2020	12
9	MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports Scientific Data ·Alistair E. W. Johnson, Tom Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-Ying Deng, Roger G. Mark, Steven Horng Hit paper breakdown →	2019	773
10	The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data PLoS ONE ·Leo Anthony Celi, Luca Citi, Marzyeh Ghassemi, Tom Pollard	2019	32
11	Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts Intensive Care Medicine ·Ary Serpa Neto, Rodrigo Octávio Deliberato, Alistair E. W. Johnson, Lieuwe D. J. Bos, Pedro Amorim, Silvio Moreto Pereira, Ślęzak Jolanta, Ricardo Luiz Cordioli, Thiago Domingos Corrêa, Tom Pollard, Guilherme Schettino, Karina Tavares Timenetsky, Leo Anthony Celi, Paolo Pelosi, Marcelo Gama de Abreu, Marcus J. Schultz, (unknown) Hit paper breakdown →	2018	332
12	The eICU Collaborative Research Database, a freely available multi-center database for critical care research Scientific Data ·Tom Pollard, Alistair E. W. Johnson, Jesse D. Raffa, Leo Anthony Celi, Roger G. Mark, Omar Badawi Hit paper breakdown →	2018	936
13	Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon JMIR Medical Informatics ·Peiyao Li, Xie Chen, Tom Pollard, Alistair E. W. Johnson, Nathanael H. Engle, Hongjun Kang, Hong Liang, سحر بذرگر, Xiaoli Liu, Jin Guanghao, 和大浪川, Norina Aßhoff, Lixin Xie, Leo Anthony Celi, Zhengbo Zhang	2017	17
14	Reproducibility in critical care: a mortality prediction case study Alistair E. W. Johnson, Tom Pollard, Roger G. Mark	2017	62
15	Software vs. data in the context of citation Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith, William L. Anderson, Carl Boettiger, Konrad Hinsen, Rob Hooft, Michael Hucka, Allen Lee, Frank Löffler, Tom Pollard, Aakriti Gupta	2016	15
16	Datathons and Software to Promote Reproducible Research Journal of Medical Internet Research ·Leo Anthony Celi, Sharukh Lokhandwala, Robert A. Montgomery, Christopher Moses, Tristan Naumann, Tom Pollard, Dmitry Elkin, Robert Stretch	2016	6
17	Bridging the Health Data Divide Journal of Medical Internet Research ·Leo Anthony Celi, Guido Davidzon, Alistair E. W. Johnson, Matthieu Komorowski, Dominic C. Marshall, Sunil Nair, Colin T. Phillips, Tom Pollard, Jesse D. Raffa, Justin D. Salciccioli, Hugues Guillet de Chatellus, David J. Stone	2016	28
18	The association between the neutrophil-to-lymphocyte ratio and mortality in critical illness: an observational cohort study Critical Care ·Justin D. Salciccioli, Dominic C. Marshall, Marco A. F. Pimentel, Mauro Santos, Tom Pollard, Leo Anthony Celi, Joseph Shalhoub	2015	155
19	Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference JMIR Medical Informatics ·Omar Badawi, Thomas P. Brennan, Leo Anthony Celi, Mengling Feng, Marzyeh Ghassemi, Andrea Ippolito, Alistair E. W. Johnson, Roger G. Mark, Louis Mayaud, G.B. Moody, Christopher Moses, Tristan Naumann, Y Alba E. Mustaca, Marco A. F. Pimentel, Tom Pollard, Cathrine Frandsen, David J. Stone, Andrew J. Zimolzak	2014	65
20	Adventures in data citation: sorghum genome data exemplifies the new gold standard BMC Research Notes ·Scott Edmunds, Tom Pollard, Selva Ganapathi R., Alexandra Basford	2012	12

About Tom Pollard

Tom Pollard is a scholar working on Health Informatics, Health Information Management, Information Systems and Management, Critical Care and Intensive Care Medicine and Artificial Intelligence, 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), Artificial Intelligence in Healthcare (4 papers), Healthcare Technology and Patient Monitoring (4 papers) and Respiratory Support and Mechanisms (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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