Alexander Tack
Impact in
- Health Informatics top 5%
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
-
- Osteoarthritis Treatment and Mechanisms 4
- Surgery 3
- Total Knee Arthroplasty Outcomes 2
- Knee injuries and reconstruction techniques 1
- Shoulder Injury and Treatment 1
- Co-authors
- Stefan Zachow (9 shared papers)Felix Ambellan (4 shared papers)Moritz Ehlke (2 shared papers)Anirban Mukhopadhyay (1 shared paper)Bernhard Preim (1 shared paper)Hans Lamecker (2 shared papers)Luis Salamanca (1 shared paper)Peter Gemmar (1 shared paper)
In The Last Decade
Alexander Tack
10 papers receiving 471 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 25
- Rheumatology 153
- Computer Vision and Pattern Recognition 97
- Radiology, Nuclear Medicine and Imaging 94
- Surgery 141
Countries citing papers authored by Alexander Tack
This map shows the geographic impact of Alexander Tack'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 Alexander Tack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Tack more than expected).
Fields of papers citing papers by Alexander Tack
This network shows the impact of papers produced by Alexander Tack. 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 Alexander Tack. The network helps show where Alexander Tack may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Tack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 248 | |
| 2 | 2018 | 90 | |
| 3 | 2021 | 43 | |
| 4 | 2017 | 31 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2017 | 5 | |
| 9 | 2025 | 3 | |
| 10 | Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative | 2018 | 3 |
About Alexander Tack
Alexander Tack is a scholar working on Rheumatology, Surgery, Computer Vision and Pattern Recognition, Biomedical Engineering and Molecular Biology, having authored 10 papers that have together received 479 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Total Knee Arthroplasty Outcomes (2 papers), Human Pose and Action Recognition (2 papers), Muscle activation and electromyography studies (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Digital Imaging for Blood Diseases (1 paper), Knee injuries and reconstruction techniques (1 paper) and Shoulder Injury and Treatment (1 paper). The work is most often cited by research in Health Informatics (25 citations), Rheumatology (153 citations), Computer Vision and Pattern Recognition (97 citations), Radiology, Nuclear Medicine and Imaging (94 citations) and Surgery (141 citations). Alexander Tack has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include Stefan Zachow, Felix Ambellan, Moritz Ehlke, Anirban Mukhopadhyay, Bernhard Preim, Hans Lamecker, Luis Salamanca, Peter Gemmar, Jorge Gonçalves and Johan Thunberg. Their work appears in journals such as Medical Image Analysis, Computer Methods and Programs in Biomedicine, Frontiers in Bioengineering and Biotechnology, Osteoarthritis and Cartilage and PLoS ONE.
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.