David Manning

2.0k citations
87 papers · 1.5k · h-index 21

Impact in

Papers in

David Manning

79 papers receiving 1.4k citations

Peers

David Manning
Comparison fields: 5 of 136
  • Family Practice 161
  • Radiology, Nuclear Medicine and Imaging 640
  • Health Informatics 37
  • Human-Computer Interaction 91
  • Experimental and Cognitive Psychology 96
Replace Ellen M. Kok with:
Ellen M. Kok Netherlands
Marieke F. van der Schaaf Netherlands
Sarah Lewis Australia
Peter Phillips United Kingdom
Allison A. Tillack United States
Sylvain Coderre Canada
Sören Huwendiek Switzerland
Arno M. M. Muijtjens Netherlands
Matthew Sibbald Canada
Marc M. Triola United States
David Manning relative to Ellen M. Kok Netherlands Ellen M. Kok's profile →
Citations per field
00.5×5.8×
Ellen M. Kok · 1×
Citations per year

Countries citing papers authored by David Manning

Since Specialization
Citations

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

Fields of papers citing papers by David Manning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005163
2 2010120
3 2004111
4 200793
5 201575
6 201068
7 201561
8 201453
9 200548
10
Heterotopic urinary bladder with a communicating reservoir.
197641
11 200638
12 200533
13 199932
14 201330
15 200529
16 200823
17 201422
18 201322
19 201522
20 200622

About David Manning

David Manning is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Biomedical Engineering and Family Practice, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiology practices and education (33 papers), Digital Radiography and Breast Imaging (22 papers), Radiation Dose and Imaging (15 papers), AI in cancer detection (14 papers), Advanced X-ray and CT Imaging (10 papers), Clinical Reasoning and Diagnostic Skills (8 papers), Medical Imaging Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Family Practice (161 citations), Radiology, Nuclear Medicine and Imaging (640 citations), Health Informatics (37 citations), Human-Computer Interaction (91 citations) and Experimental and Cognitive Psychology (96 citations). David Manning has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Tim Donovan, Trevor J. Crawford, Peter Phillips, Patrick Brennan, Don Operario, Mark F. McEntee, Alastair G. Gale, Linden J. Ball, Damien Litchfield and Peter Hogg. Their work appears in journals such as British Journal of Radiology, Radiology, Technology in Society, Academic Radiology and Organization.

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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