Christopher Kelly

109 papers receiving 3.5k citations

Hit Papers

Key challenges for delivering clinical impact with artificial intelligence 2019 · 1.3k citations
1.3k20192026202120234008001.2k

Peers

Christopher Kelly
Comparison fields: 5 of 185
  • Health Informatics 729
  • Health Information Management 208
  • Radiology, Nuclear Medicine and Imaging 943
  • Reproductive Medicine 307
  • Ophthalmology 272
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Countries citing papers authored by Christopher Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20235
4 20237
5 202270
6 202119
7
Development and validation of a prognostic tool: Pulmonary embolism short-term clinical outcomes risk estimation (PE-SCORE)
20210
8 202094
9 202025
10
Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence
20201
11 2020149
12 201947
13 201999
14 201940
15 20189
16
Professional accounting qualifications of audit committee membership : implications for curriculum and learning
20072
17
Rousseau's philosophic dream
19964
18
Public attitudes on health care reform.
19931
19
Rousseau on Reading 'Jean-Jacques': The Dialogues
19901
20
Rousseau and His Readers
19821

About Christopher Kelly

Christopher Kelly is a scholar working on Health Informatics, Philosophy, Classics, Political Science and International Relations and Pediatrics, Perinatology and Child Health, having authored 123 papers that have together received 3.7k indexed citations. Recurring topics across this work include Rousseau and Enlightenment Thought (20 papers), Political Theory and Influence (19 papers), Congenital Heart Disease Studies (14 papers), American Constitutional Law and Politics (9 papers), Neonatal and fetal brain pathology (9 papers), Ovarian function and disorders (6 papers), Bipolar Disorder and Treatment (6 papers) and Atomic and Subatomic Physics Research (4 papers). The work is most often cited by research in Health Informatics (729 citations), Health Information Management (208 citations), Radiology, Nuclear Medicine and Imaging (943 citations), Reproductive Medicine (307 citations) and Ophthalmology (272 citations). Christopher Kelly has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Alan Karthikesalingam, Mustafa Suleyman, Greg S. Corrado, Dominic King, Gwyn W. Gould, Helen Lyall, John Connell, John R. Petrie, Serena J. Counsell and Pearse A. Keane. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Energy Engineering, The Journal of Roman Studies, Scientific Reports and NeuroImage Clinical.

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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