Debora Testi

52 papers receiving 900 citations

Peers

Debora Testi
Comparison fields: 5 of 77
  • Orthopedics and Sports Medicine 254
  • Computer Graphics and Computer-Aided Design 44
  • Biomedical Engineering 307
  • Surgery 282
  • Computer Vision and Pattern Recognition 116
Replace Cinzia Zannoni with:
Cinzia Zannoni Italy
Saulo Martelli Australia
Jason P. Halloran United States
Tien Tuan Dao France
Andrew E. Anderson United States
Kevin B. Shelburne United States
Éric Stindel France
Stefan Wesarg Germany
Asaki Hattori Japan
Emmanuel A. Audenaert Belgium
Debora Testi relative to Cinzia Zannoni Italy Cinzia Zannoni's profile →
Citations per field
00.5×2×4×6.1×
Cinzia Zannoni · 1×
Citations per year

Countries citing papers authored by Debora Testi

Since Specialization
Citations

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

Fields of papers citing papers by Debora Testi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014144
2 200489
3 200458
4 199953
5 200648
6 200647
7 200141
8 200235
9 200734
10 201533
11 199931
12 199927
13 201024
14 200420
15 200720
16 200417
17 200115
18 200315
19 200315
20 201014

About Debora Testi

Debora Testi is a scholar working on Biomedical Engineering, Computer Graphics and Computer-Aided Design, Information Systems and Management, Orthopedics and Sports Medicine and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 944 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (14 papers), Orthopaedic implants and arthroplasty (9 papers), Scientific Computing and Data Management (8 papers), Bone health and osteoporosis research (7 papers), Computer Graphics and Visualization Techniques (6 papers), Medical Image Segmentation Techniques (6 papers), Muscle activation and electromyography studies (6 papers) and Electronic Health Records Systems (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (254 citations), Computer Graphics and Computer-Aided Design (44 citations), Biomedical Engineering (307 citations), Surgery (282 citations) and Computer Vision and Pattern Recognition (116 citations). Debora Testi has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Marco Viceconti, Angelo Cappello, Fulvia Taddei, Cinzia Zannoni, Gordon Clapworthy, S Gnudi, Scott L. Delp, Lorenzo Pitto, Ajay K. Seth and Rita Stagni. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Annals of Biomedical Engineering, Proceedings of the IEEE, Journal of Computational Science and Langenbeck s Archives of Surgery.

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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