T. Hausner
Impact in
- Rehabilitation top 1%
- Elbow and Forearm Trauma Treatment
- Wound Healing and Treatments
- Surgery top 5%
- Orthopedic Surgery and Rehabilitation
Papers in
- Surgery 35
- Orthopedic Surgery and Rehabilitation 21
- Nerve Injury and Rehabilitation 5
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- Nerve injury and regeneration 13
- Co-authors
- S. Quadlbauer (24 shared papers)M. Leixnering (23 shared papers)J. Jurkowitsch (18 shared papers)Ch. Pezzei (18 shared papers)Heinz Redl (16 shared papers)Antal Nógrádi (6 shared papers)T. Keuchel (10 shared papers)Rudolf Rosenauer (11 shared papers)
In The Last Decade
T. Hausner
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Rehabilitation 256
- Surgery 617
- Orthopedics and Sports Medicine 87
- Pharmacy 46
- Health Informatics 10
Countries citing papers authored by T. Hausner
This map shows the geographic impact of T. Hausner'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 T. Hausner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hausner more than expected).
Fields of papers citing papers by T. Hausner
This network shows the impact of papers produced by T. Hausner. 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 T. Hausner. The network helps show where T. Hausner may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Hausner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 92 | |
| 2 | 2014 | 83 | |
| 3 | 2016 | 67 | |
| 4 | 2018 | 46 | |
| 5 | 2013 | 41 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 40 | |
| 8 | 2018 | 39 | |
| 9 | 2020 | 36 | |
| 10 | 2012 | 36 | |
| 11 | 2020 | 35 | |
| 12 | 2007 | 33 | |
| 13 | 2020 | 31 | |
| 14 | 2017 | 29 | |
| 15 | 2020 | 29 | |
| 16 | 2017 | 29 | |
| 17 | 2015 | 25 | |
| 18 | 2000 | 20 | |
| 19 | 2017 | 20 | |
| 20 | 2020 | 19 |
About T. Hausner
T. Hausner is a scholar working on Surgery, Cellular and Molecular Neuroscience, Rehabilitation, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (21 papers), Nerve injury and regeneration (13 papers), Elbow and Forearm Trauma Treatment (8 papers), Bone fractures and treatments (6 papers), Nerve Injury and Rehabilitation (5 papers), Peripheral Nerve Disorders (5 papers), Tendon Structure and Treatment (4 papers) and Transcranial Magnetic Stimulation Studies (3 papers). The work is most often cited by research in Rehabilitation (256 citations), Surgery (617 citations), Orthopedics and Sports Medicine (87 citations), Pharmacy (46 citations) and Health Informatics (10 citations). T. Hausner has collaborated with scholars based in Austria, Hungary and Germany. Frequent co-authors include S. Quadlbauer, M. Leixnering, J. Jurkowitsch, Ch. Pezzei, Heinz Redl, Antal Nógrádi, T. Keuchel, Rudolf Rosenauer, R. Hopf and Robert Schmidhammer. Their work appears in journals such as Archives of Orthopaedic and Trauma Surgery, Hand, Experimental Neurology, Clinical Rehabilitation and Tissue Engineering Part C Methods.
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.