David Manning

2.0k citations
82 papers · 1.4k · h-index 21

Impact in

Papers in

David Manning

76 papers receiving 1.4k citations

Peers

David Manning
Comparison fields: 5 of 132
  • Family Practice 150
  • Radiology, Nuclear Medicine and Imaging 603
  • Health Informatics 36
  • Human-Computer Interaction 87
  • Experimental and Cognitive Psychology 86
Replace Claudia Mello‐Thoms with:
Claudia Mello‐Thoms Australia
Ellen M. Kok Netherlands
Marieke F. van der Schaaf Netherlands
Sarah Lewis Australia
Sylvain Coderre Canada
Matthew Sibbald Canada
Sören Huwendiek Switzerland
Marc M. Triola United States
Michael J. Van Wert United States
Allison A. Tillack United States
David Manning relative to Claudia Mello‐Thoms Australia Claudia Mello‐Thoms's profile →
Citations per field
00.5×1.5×
Claudia Mello‐Thoms · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005157
2 2010108
3 2004107
4 200786
5 201571
6 201559
7 201059
8 201449
9 200543
10
Heterotopic urinary bladder with a communicating reservoir.
197640
11 200638
12 200533
13 199931
14 201330
15 200526
16 200823
17 201421
18 200621
19 199920
20 201520

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 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiology practices and education (32 papers), Digital Radiography and Breast Imaging (20 papers), Radiation Dose and Imaging (15 papers), AI in cancer detection (13 papers), Advanced X-ray and CT Imaging (9 papers), Clinical Reasoning and Diagnostic Skills (7 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Family Practice (150 citations), Radiology, Nuclear Medicine and Imaging (603 citations), Health Informatics (36 citations), Human-Computer Interaction (87 citations) and Experimental and Cognitive Psychology (86 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, Damien Litchfield, Linden J. Ball, Alastair G. Gale and Peter Hogg. Their work appears in journals such as British Journal of Radiology, Organization, Technology in Society, Radiology and American Journal of Roentgenology.

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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