Christopher Kelly

111 papers receiving 3.6k citations

Christopher Kelly's Hit Papers

Key challenges for delivering clinical impact with artificial intelligence 2019 · 1.4k citations
1.4k0+2+4Years since publication4008001.2k

Peers

Christopher Kelly
Comparison fields: 5 of 182
  • Health Informatics 631
  • Health Information Management 162
  • Radiology, Nuclear Medicine and Imaging 737
  • Reproductive Medicine 274
  • Ophthalmology 193
Replace Melanie Calvert with:
Melanie Calvert United Kingdom
Monika Janda Australia
Kun‐Hsing Yu United States
Jinoos Yazdany United States
Fiona J. Gilbert United Kingdom
Eric Q. Wu United States
Elizabeth Shenkman United States
David Magnus United States
Timothy R. Smith United States
Takahiro Kiuchi Japan
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Citations per year

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-authors

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

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Key challenges for delivering clinical impact with artificial intelligence
Hit paper breakdown →
20191394
2 2002212
3 2020159
4 2018105
5 2000103
6 201999
7 202097
8 199694
9 202280
10 201776
11 200472
12 201770
13 200168
14 201864
15 199855
16 200249
17 201948
18 200246
19 201743
20 201943

About Christopher Kelly

Christopher Kelly is a scholar working on Political Science and International Relations, Philosophy, Epidemiology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 122 papers that have together received 3.8k 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), Classical Antiquity Studies (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Health Informatics (631 citations), Health Information Management (162 citations), Radiology, Nuclear Medicine and Imaging (737 citations), Reproductive Medicine (274 citations) and Ophthalmology (193 citations). Christopher Kelly has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Alan Karthikesalingam, Dominic King, Greg S. Corrado, Mustafa Suleyman, Helen Lyall, John Connell, Gwyn W. Gould, 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, Physical review. D and BMJ.

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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