David Clunie

129 total papers · 2.2k total citations
44 papers, 830 citations indexed

About

David Clunie is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Clunie has authored 44 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Artificial Intelligence and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Clunie's work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Medical Imaging Techniques and Applications (11 papers). David Clunie is often cited by papers focused on AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Medical Imaging Techniques and Applications (11 papers). David Clunie collaborates with scholars based in United States, Germany and Saudi Arabia. David Clunie's co-authors include Joseph H. Piatt, Andriy Fedorov, Ron Kikinis, Justin Kirby, John Freymann, John Perry, C. Carl Jaffe, Steve Pieper, Simon Roman-Goldstein and Michael D. Onken and has published in prestigious journals such as Nature Communications, Cancer Research and Radiology.

In The Last Decade

David Clunie

41 papers receiving 801 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Clunie	349	243	207	154	103	44	830
Máté E. Maros	260 0.7×	191 0.8×	122 0.6×	76 0.5×	153 1.5×	43	881
Jihye Yun	555 1.6×	189 0.8×	314 1.5×	107 0.7×	137 1.3×	36	965
Huan Lin	355 1.0×	159 0.7×	161 0.8×	114 0.7×	53 0.5×	45	812
Hendrik Laue	556 1.6×	124 0.5×	125 0.6×	99 0.6×	101 1.0×	26	879
Si‐Wa Chan	526 1.5×	367 1.5×	296 1.4×	80 0.5×	78 0.8×	44	874
Raphael Meier	449 1.3×	252 1.0×	113 0.5×	220 1.4×	104 1.0×	36	990
Matteo Interlenghi	570 1.6×	277 1.1×	167 0.8×	75 0.5×	148 1.4×	29	972
Meihao Wang	551 1.6×	292 1.2×	160 0.8×	36 0.2×	72 0.7×	51	847
Jan Hendrik Moltz	640 1.8×	203 0.8×	293 1.4×	210 1.4×	174 1.7×	47	957
Hai‐Yan Nan	466 1.3×	92 0.4×	118 0.6×	119 0.8×	78 0.8×	26	827

Countries citing papers authored by David Clunie

Since Specialization

Citations

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

Fields of papers citing papers by David Clunie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Clunie

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

All Works

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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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