J. Paul Siebert

2.6k citations
84 papers · 1.8k · h-index 23

Impact in

Papers in

J. Paul Siebert

80 papers receiving 1.7k citations

Peers

J. Paul Siebert
Comparison fields: 5 of 136
  • Orthodontics 383
  • Oral Surgery 238
  • Computer Vision and Pattern Recognition 640
  • Complementary and Manual Therapy 70
  • Geology 111
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Ingela Nyström Sweden
Thabo Beeler United States
Matthias Teschner Germany
Bingwei He China
Zeyang Xia China
Alberto Signoroni Italy
Franco Persiani Italy
H. K. Sardana India
Peng Yuan China
Youyi Zheng China
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Citations per field
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Citations per year

Countries citing papers authored by J. Paul Siebert

Since Specialization
Citations

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

Fields of papers citing papers by J. Paul Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009222
2 2004202
3 2003126
4 200496
5 200089
6 200987
7 200785
8 200476
9 201562
10 200552
11 201040
12 201339
13
Vehicle Recognition Using Rule Based Methods
198739
14 200438
15 200538
16 201837
17 200635
18 201030
19 201529
20
Automatic Segmentation of 3D Human Body Scans
200027

About J. Paul Siebert

J. Paul Siebert is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Cognitive Neuroscience and Control and Systems Engineering, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Robotics and Sensor-Based Localization (16 papers), 3D Shape Modeling and Analysis (14 papers), Optical measurement and interference techniques (10 papers), Visual perception and processing mechanisms (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Computer Graphics and Visualization Techniques (7 papers) and Industrial Vision Systems and Defect Detection (6 papers). The work is most often cited by research in Orthodontics (383 citations), Oral Surgery (238 citations), Computer Vision and Pattern Recognition (640 citations), Complementary and Manual Therapy (70 citations) and Geology (111 citations). J. Paul Siebert has collaborated with scholars based in United Kingdom, China and Ireland. Frequent co-authors include Ashraf Ayoub, Bogusław Cyganek, Declan T Millett, Mohammad Y Hajeer, Xiangyang Ju, Gerardo Aragón-Camarasa, Stephen Marshall, Li Sun, Simon Rogers and Balvinder Khambay. Their work appears in journals such as The Cleft Palate-Craniofacial Journal, Pattern Recognition Letters, Robotics and Autonomous Systems, Computers and Electronics in Agriculture and Journal of the Optical Society of America A.

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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