Debora Testi

52 papers receiving 846 citations

Peers

Debora Testi
Comparison fields: 5 of 95
  • Orthopedics and Sports Medicine 258
  • Surgery 468
  • Computer Graphics and Computer-Aided Design 27
  • Biomedical Engineering 330
  • Physical Therapy, Sports Therapy and Rehabilitation 26
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Clare K. Fitzpatrick United States
H. K. Huang United States
S. Laporte France
John Drace United States
Cinzia Zannoni Italy
Vickie Shim New Zealand
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Citations per field
00.5×3.9×
Clare K. Fitzpatrick · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014132
2 200477
3 200454
4 199947
5 200646
6 200644
7 200141
8 200233
9 199931
10 201531
11 200730
12 199925
13 201022
14 200720
15 200419
16 200116
17 200416
18 201016
19 200315
20 200313

About Debora Testi

Debora Testi is a scholar working on Information Systems and Management, Orthopedics and Sports Medicine, Surgery, Computer Graphics and Computer-Aided Design and Management Science and Operations Research, having authored 54 papers that have together received 875 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (14 papers), Orthopaedic implants and arthroplasty (14 papers), Scientific Computing and Data Management (10 papers), Hip disorders and treatments (7 papers), Distributed and Parallel Computing Systems (7 papers), Hip and Femur Fractures (7 papers), Bone health and osteoporosis research (6 papers) and Anatomy and Medical Technology (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (258 citations), Surgery (468 citations), Computer Graphics and Computer-Aided Design (27 citations), Biomedical Engineering (330 citations) and Physical Therapy, Sports Therapy and Rehabilitation (26 citations). Debora Testi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Marco Viceconti, Angelo Cappello, Fulvia Taddei, Cinzia Zannoni, Gordon Clapworthy, S Gnudi, Scott L. Delp, Lorenzo Pitto, Ajay Seth and Giordano Valente. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Annals of Biomedical Engineering, Proceedings of the IEEE, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Osteoporosis International.

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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