David Cook

95 papers receiving 1.5k citations

Peers

David Cook
Comparison fields: 5 of 181
  • Emergency Medical Services 157
  • Electrochemistry 104
  • Critical Care and Intensive Care Medicine 70
  • Health Informatics 22
  • Medical Laboratory Technology 20
Replace Grace C. Huang with:
Grace C. Huang United States
V.L. Pecoraro Italy
Karen Page Australia
Sun‐Mi Lee South Korea
Vijay Kumar Jain India
Wen‐Chung Lee Taiwan
Margaret Stedman United States
Lewis J. Radonovich United States
David Greenfield Australia
John C. Messenger United States
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Citations per field
00.5×7.4×
Grace C. Huang · 1×
Citations per year

Countries citing papers authored by David Cook

Since Specialization
Citations

This map shows the geographic impact of David Cook'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 David Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cook more than expected).

Fields of papers citing papers by David Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Cook. 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 David Cook. The network helps show where David Cook may publish in the future.

Co-authors

The 25 scholars most cited alongside David Cook, 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 David Cook Line = papers co-authored together David Cook links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006120
2
A History of Narrative Film
1980117
3 2008101
4 200361
5
Lost Illusions: American Cinema in the Shadow of Watergate and Vietnam, 1970-1979
199960
6 199856
7 200853
8 201350
9 201048
10 200546
11 200346
12 200745
13 201442
14 201138
15 202138
16 200938
17 201932
18 199731
19 200225
20 200025

About David Cook

David Cook is a scholar working on Epidemiology, Economics and Econometrics, Emergency Medicine, Emergency Medical Services and Artificial Intelligence, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Electrochemical Analysis and Applications (8 papers), Ionic liquids properties and applications (7 papers), Machine Learning in Healthcare (7 papers), Cinema and Media Studies (6 papers), Central Venous Catheters and Hemodialysis (6 papers), Cardiac Arrest and Resuscitation (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Emergency Medical Services (157 citations), Electrochemistry (104 citations), Critical Care and Intensive Care Medicine (70 citations), Health Informatics (22 citations) and Medical Laboratory Technology (20 citations). David Cook has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Hayden White, Balasubramanian Venkatesh, Philip N. Bartlett, Kate Halton, Nicholas Graves, Michael Whitby, Alexander Kuhn, David L. Paterson, Samia Ben-Ali and Gillian Reid. Their work appears in journals such as Anaesthesia and Intensive Care, Critical Care and Resuscitation, Physical Chemistry Chemical Physics, Journal of Hospital Infection and Experimental Biology and 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.

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