Andrew P. Kurmis
- Surgery
- Statistics, Probability and Uncertainty top 1%
- Public Health, Environmental and Occupational Health
- Sensory Systems top 10%
- Biomedical Engineering
- Co-authors
- Tore DalénJohn SlavotinekWayne RankinBassam A. MasriDonald S. GarbuzAmir HermanKaren ReynoldsJonathan D. Buckley
- Topics
- Total Knee Arthroplasty Outcomes (19 papers)Orthopaedic implants and arthroplasty (18 papers)Orthopedic Infections and Treatments (14 papers)
- Journals
- Journal of Bone and Joint SurgeryClinical Orthopaedics and Related ResearchEuropean Journal of Applied Physiology
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Andrew P. Kurmis
44 papers receiving 664 citations
Peers
Comparison fields: 5 of 136
- Surgery 218
- Statistics, Probability and Uncertainty 177
- Public Health, Environmental and Occupational Health 82
- Sensory Systems 57
- Biomedical Engineering 52
Countries citing papers authored by Andrew P. Kurmis
This map shows the geographic impact of Andrew P. Kurmis'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 Andrew P. Kurmis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew P. Kurmis more than expected).
Fields of papers citing papers by Andrew P. Kurmis
This network shows the impact of papers produced by Andrew P. Kurmis. 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 Andrew P. Kurmis. The network helps show where Andrew P. Kurmis may publish in the future.
Co-authorship network of co-authors of Andrew P. Kurmis
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew P. Kurmis. A scholar is included among the top collaborators of Andrew P. Kurmis 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 Andrew P. Kurmis. Andrew P. Kurmis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 36 | |
| 15 | 69 | |
| 16 | 0 | |
| 17 | Time generation efficacy of three-dimensional image reconstructions of the human knee | 3 |
| 18 | 231 | |
| 19 | 11 | |
| 20 | The developing role of knee MRI in musculoskeletal radiology: the progression to 3-D imaging | 5 |
About Andrew P. Kurmis
Andrew P. Kurmis is a scholar working on Health Informatics, Surgery and Statistics, Probability and Uncertainty, having authored 45 papers that have together received 694 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (19 papers), Orthopaedic implants and arthroplasty (18 papers) and Orthopedic Infections and Treatments (14 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (177 citations), Health Informatics (33 citations) and Sensory Systems (57 citations). Andrew P. Kurmis has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Tore Dalén, John Slavotinek, Wayne Rankin, Bassam A. Masri, Donald S. Garbuz, Amir Herman, Karen Reynolds, Jonathan D. Buckley, Grant D. Brinkworth and Nicola L. Fazzalari. Their work appears in journals such as Journal of Bone and Joint Surgery, Clinical Orthopaedics and Related Research and European Journal of Applied Physiology.
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.