Paul Shreve

3.9k citations
34 papers · 2.8k indexed · 2 hit papers · h-index 17
Topics
Medical Imaging Techniques and Applications (19 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Advanced X-ray and CT Imaging (8 papers)

In The Last Decade

Paul Shreve

34 papers receiving 2.7k citations

Hit Papers

Pitfalls in Oncologic Diagnosis with FDG PET Imaging: Phy...199920262008201719992007200400600

Peers

Paul Shreve
Comparison fields: 5 of 100
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Pulmonary and Respiratory Medicine 744
  • Surgery 716
  • Gastroenterology 644
  • Physiology 318
Replace Luc Mortelmans with:
Luc Mortelmans Belgium
Stanislas Pauwels Belgium
Mauri Kouri Finland
John Powe Saudi Arabia
Harold O. Douglass United States
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Alan Gray Saudi Arabia
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Paul Shreve relative to Luc Mortelmans Belgium Luc Mortelmans's profile →
Citations per field
00.5×7.2×
Luc Mortelmans · 1×
Citations per year

Countries citing papers authored by Paul Shreve

Since Specialization
Citations

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

Fields of papers citing papers by Paul Shreve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Shreve

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 143
3 7
4 3
5 14
6 7
7 272
8 4
9
Consensus Recommendations for Gastric Emptying Scintigraphy: A Joint Report of the American Neurogastroenterology and Motility Society and the Society of Nuclear Medicinebreakdown →
514
10 27
11 19
12 2
13
Pitfalls in Oncologic Diagnosis with FDG PET Imaging: Physiologic and Benign Variantsbreakdown →
631
14 120
15 4
16 87
17 278
18 2
19 232
20 9

About Paul Shreve

Paul Shreve is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Gastroenterology, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced X-ray and CT Imaging (8 papers). The work is most often cited by research in Gastroenterology (644 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Pulmonary and Respiratory Medicine (744 citations). Paul Shreve has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Richard L. Wahl, Yoshimi Anzai, Milton D. Gross, H. Barton Grossman, Henry C. Lin, Alan H. Maurer, Henry P. Parkman, William J. Snape, Harvey A. Ziessman and William L. Hasler. Their work appears in journals such as Circulation, Diabetes and Radiology.

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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