D W Piraino

1.9k citations
19 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Medical Image Segmentation Techniques (5 papers)Knee injuries and reconstruction techniques (3 papers)Brain Tumor Detection and Classification (3 papers)
Partner nations
United StatesJapanGreece

In The Last Decade

D W Piraino

18 papers receiving 1.3k citations

Hit Papers

Vertebral osteomyelitis: assessment using MR.19852026199820121985100200300400500

Peers

D W Piraino
Comparison fields: 5 of 100
  • Surgery 912
  • Rheumatology 370
  • Biomedical Engineering 274
  • Pathology and Forensic Medicine 165
  • Orthopedics and Sports Medicine 159
Replace Jung‐Ah Choi with:
Jung‐Ah Choi South Korea
P. Lander United States
Daniel E. Wessell United States
Ambrose J. Huang United States
John F. Feller United States
Na Ra Kim South Korea
Kathryn J. Stevens United States
Bruno Pinamonti Italy
Godtfred Holmvang United States
Cheng-Yen Chang Taiwan
D W Piraino relative to Jung‐Ah Choi South Korea Jung‐Ah Choi's profile →
Citations per field
00.5×1.5×2.3×
Jung‐Ah Choi · 1×
Citations per year

Countries citing papers authored by D W Piraino

Since Specialization
Citations

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

Fields of papers citing papers by D W Piraino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D W Piraino. 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 D W Piraino. The network helps show where D W Piraino may publish in the future.

Co-authorship network of co-authors of D W Piraino

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 29
2 0
3 22
4 4
5 281
6 49
7 20
8 64
9 1
10 110
11 20
12 12
13 33
14
Segmentation of magnetic resonance images using an artificial neural network.
5
15 5
16 52
17
Vertebral osteomyelitis: assessment using MR.breakdown →
517
18 91
19 23

About D W Piraino

D W Piraino is a scholar working on Neurology, Internal Medicine and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Knee injuries and reconstruction techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Rheumatology (370 citations), Surgery (912 citations) and Orthopedics and Sports Medicine (159 citations). D W Piraino has collaborated with scholars based in United States, Japan and Greece. Frequent co-authors include P M Duchesneau, M A Weinstein, Michael T. Modic, Michael P. Recht, Francis Boumphrey, David Feiglin, Susan J. Rehm, Jean Schils, George H. Belhobek and George A. Paletta. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging 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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