S.M. Dunn

637 citations
42 papers · 437 · h-index 13

Impact in

Papers in

S.M. Dunn

34 papers receiving 405 citations

Peers

S.M. Dunn
Comparison fields: 5 of 88
  • Oral Surgery 157
  • General Dentistry 27
  • Orthodontics 29
  • Computer Vision and Pattern Recognition 126
  • Periodontics 25
Replace Jia‐Hong Lee with:
Jia‐Hong Lee Taiwan
Qingqiong Deng China
Abdolvahab Ehsani Rad Malaysia
Nurullah Akkaya Cyprus
Patricia Angela R. Abu Philippines
Yuru Pei China
Fuli Wu China
Sungmoon Jeong South Korea
Ryo Takahashi Japan
S.M. Dunn relative to Jia‐Hong Lee Taiwan Jia‐Hong Lee's profile →
Citations per field
00.5×1.5×1.9×
Jia‐Hong Lee · 1×
Citations per year

Countries citing papers authored by S.M. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.M. Dunn. 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 S.M. Dunn. The network helps show where S.M. Dunn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199349
2 198939
3 199334
4 199533
5 199233
6 200330
7 199326
8 199426
9 199120
10 199420
11 199519
12 199517
13 200215
14 199312
15 19949
16 20258
17 19956
18 19946
19 19925
20
Histological, clinical, and digital subtraction radiographic evaluation of repair of periodontal defects resulting from mechanical perforation of the chamber floor using ePTFE membranes.
19975

About S.M. Dunn

S.M. Dunn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oral Surgery, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 42 papers that have together received 437 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (9 papers), Image Retrieval and Classification Techniques (8 papers), Medical Image Segmentation Techniques (7 papers), Neural Networks and Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Medical Imaging Techniques and Applications (5 papers), Parallel Computing and Optimization Techniques (3 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Oral Surgery (157 citations), General Dentistry (27 citations), Orthodontics (29 citations), Computer Vision and Pattern Recognition (126 citations) and Periodontics (25 citations). S.M. Dunn has collaborated with scholars based in United States, Netherlands and Myanmar. Frequent co-authors include P.F. van der Stelt, Edward J. Ciaccio, Metin Akay, John Ostuni, Swati Shah, Claudia Mello‐Thoms, Calvin F. Nodine, H L Kundel, Emma Watson and Helen C. Gift. Their work appears in journals such as Dentomaxillofacial Radiology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Gene, Computers in Biology and Medicine and IEEE Transactions on Medical Imaging.

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.

Explore authors with similar magnitude of impact