David Morland

59 papers receiving 303 citations

Peers

David Morland
Comparison fields: 5 of 85
  • Nephrology 39
  • Microbiology 3
  • Radiology, Nuclear Medicine and Imaging 74
  • Human-Computer Interaction 13
  • Neurology 31
Replace Guðmundur Einarsson with:
Guðmundur Einarsson Iceland
Ai‐Hsien Li Taiwan
Duane A. Young United States
Myung‐Chul Lee South Korea
Denise Lee United States
Kirsten Brukamp Germany
Junjie Peng United Kingdom
Hongliang Wu China
Runzhuo Ma United States
Steen M. Jensen Sweden
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Citations per field
00.5×3.9×
Guðmundur Einarsson · 1×
Citations per year

Countries citing papers authored by David Morland

Since Specialization
Citations

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

Fields of papers citing papers by David Morland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198343
2 201615
3 201315
4 202214
5 202014
6 201812
7 201811
8 202210
9 20169
10 20248
11 20238
12 20237
13 20247
14 20226
15 20236
16 20205
17 20185
18 20185
19 20215
20 20225

About David Morland

David Morland is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Pathology and Forensic Medicine and Surgery, having authored 71 papers that have together received 312 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Neuroendocrine Tumor Research Advances (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Medical Imaging and Pathology Studies (9 papers), Sarcoma Diagnosis and Treatment (6 papers), Parathyroid Disorders and Treatments (5 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Nephrology (39 citations), Microbiology (3 citations), Radiology, Nuclear Medicine and Imaging (74 citations), Human-Computer Interaction (13 citations) and Neurology (31 citations). David Morland has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Elizabeth Katherine Anna Triumbari, Dimitri Papathanassiou, Sophie Deguelte, Salvatore Annunziata, Roberto Gatta, Luca Boldrini, Izzie Jacques Namer, Christian Marescaux, Daniele Antonio Pizzuto and Brigitte Delemer. Their work appears in journals such as Medicine, Clinical Nuclear Medicine, Hematological Oncology, Journal of Nuclear Medicine and Archives of cardiovascular diseases.

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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