Alexander Hustinx
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Forensic Anthropology and Bioarchaeology Studies
Papers in
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- Face recognition and analysis 2
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- Aesthetic Perception and Analysis 1
- Co-authors
- Peter Krawitz (5 shared papers)Tzung‐Chien Hsieh (5 shared papers)Elisabeth André (4 shared papers)Behnam Javanmardi (3 shared papers)Silvan Mertes (2 shared papers)Ömer Sümer (2 shared papers)Ruth Gausche (1 shared paper)Markus M. Nöthen (1 shared paper)
- Journals
- European Journal of Human Genetics (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Pediatric Radiology (1 paper)Studies in health technology and informatics (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- GermanySouth AfricaUnited States
In The Last Decade
Alexander Hustinx
6 papers receiving 47 citations
Peers
Comparison fields: 5 of 31
- Health Informatics 6
- Archeology 8
- Computer Vision and Pattern Recognition 10
- Genetics 9
- Artificial Intelligence 10
Countries citing papers authored by Alexander Hustinx
This map shows the geographic impact of Alexander Hustinx'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 Hustinx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hustinx more than expected).
Fields of papers citing papers by Alexander Hustinx
This network shows the impact of papers produced by Alexander Hustinx. 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 Hustinx. The network helps show where Alexander Hustinx may publish in the future.
Co-authors
The 19 scholars most cited alongside Alexander Hustinx, 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 | 2023 | 19 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 8 | |
| 4 | 2025 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2014 | 2 |
About Alexander Hustinx
Alexander Hustinx is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Oncology, Artificial Intelligence and Complementary and alternative medicine, having authored 6 papers that have together received 48 indexed citations. Recurring topics across this work include Face recognition and analysis (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Advanced Manufacturing and Logistics Optimization (1 paper), Cleft Lip and Palate Research (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Traditional Chinese Medicine Studies (1 paper), Aesthetic Perception and Analysis (1 paper) and Science Education and Perceptions (1 paper). The work is most often cited by research in Health Informatics (6 citations), Archeology (8 citations), Computer Vision and Pattern Recognition (10 citations), Genetics (9 citations) and Artificial Intelligence (10 citations). Alexander Hustinx has collaborated with scholars based in Germany, South Africa and United States. Frequent co-authors include Peter Krawitz, Tzung‐Chien Hsieh, Elisabeth André, Behnam Javanmardi, Silvan Mertes, Ömer Sümer, Ruth Gausche, Markus M. Nöthen, Ulrike Attenberger and Miguel A. Ibarra-Arellano. Their work appears in journals such as European Journal of Human Genetics, ACM Transactions on Multimedia Computing Communications and Applications, Pediatric Radiology, Studies in health technology and informatics and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.