Joséphine A. Cool

760 citations
15 papers · 302 indexed · 2 hit papers · h-index 6
Topics
Cardiac, Anesthesia and Surgical Outcomes (4 papers)Hospital Admissions and Outcomes (3 papers)Clinical Reasoning and Diagnostic Skills (3 papers)
Partner nations
United StatesQatar

In The Last Decade

Joséphine A. Cool

8 papers receiving 298 citations

Hit Papers

Large Language Model Influence on Diagnostic Reasoning2024202620252024202550100150

Peers

Joséphine A. Cool
Comparison fields: 5 of 77
  • Health Informatics 115
  • Artificial Intelligence 71
  • Surgery 65
  • Biomedical Engineering 57
  • Emergency Medicine 47
Replace Moritz Mahling with:
Moritz Mahling Germany
Justin E. Tang United States
Bashar Zaidat United States
Shruti Jayakumar United Kingdom
H. Servy France
Andrew Kesselman United States
Sebastian Fritsch Germany
Stephanie Helman United States
Dominic Pimenta United Kingdom
Joseph Weisberger United States
Joséphine A. Cool relative to Moritz Mahling Germany Moritz Mahling's profile →
Citations per field
00.5×3.0×
Moritz Mahling · 1×
Citations per year

Countries citing papers authored by Joséphine A. Cool

Since Specialization
Citations

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

Fields of papers citing papers by Joséphine A. Cool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joséphine A. Cool. 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 Joséphine A. Cool. The network helps show where Joséphine A. Cool may publish in the future.

Co-authorship network of co-authors of Joséphine A. Cool

This figure shows the co-authorship network connecting the top 25 collaborators of Joséphine A. Cool. A scholar is included among the top collaborators of Joséphine A. Cool 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 Joséphine A. Cool. Joséphine A. Cool is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trialbreakdown →
35
4 0
5 1
6
Large Language Model Influence on Diagnostic Reasoningbreakdown →
167
7 0
8 0
9 0
10 8
11 27
12 1
13 54
14 0
15 9

About Joséphine A. Cool

Joséphine A. Cool is a scholar working on Family Practice, Emergency Medical Services and Emergency Medicine, having authored 15 papers that have together received 302 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Hospital Admissions and Outcomes (3 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). The work is most often cited by research in Health Informatics (115 citations), Family Practice (34 citations) and Emergency Medicine (47 citations). Joséphine A. Cool has collaborated with scholars based in United States and Qatar. Frequent co-authors include Hooman Kamel, Jason Hom, Jonathan H. Chen, Eric Horvitz, Ethan Goh, Andrew S. Parsons, Zahir Kanjee, Hannah Kerman, Daniel X. Yang and Andrew Olson. Their work appears in journals such as Nature Medicine, Gastroenterology and Stroke.

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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