Michael A. Riegler
Impact in
- Health Informatics top 0.5%
-
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Image Retrieval and Classification Techniques 34
- Video Analysis and Summarization 30
- Advanced Image and Video Retrieval Techniques 16
- Human Pose and Action Recognition 15
Michael A. Riegler
216 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Health Informatics 188
- Computer Vision and Pattern Recognition 1.4k
- Gastroenterology 293
- Radiology, Nuclear Medicine and Imaging 1.0k
- Artificial Intelligence 1.4k
Countries citing papers authored by Michael A. Riegler
This map shows the geographic impact of Michael A. Riegler'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 Michael A. Riegler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Riegler more than expected).
Fields of papers citing papers by Michael A. Riegler
This network shows the impact of papers produced by Michael A. Riegler. 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 Michael A. Riegler. The network helps show where Michael A. Riegler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael A. Riegler, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence Hit paper breakdown → | 2025 | 42 |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 64 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 7 | |
| 17 | Medico Multimedia Task at MediaEval 2019. | 2019 | 5 |
| 18 | Medico multimedia task at MediaEval 2018 | 2018 | 3 |
| 19 | Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation | 2015 | 1 |
| 20 | Exploration of Feature Combination in Geo-visual Ranking for Visual Content-based Location Prediction | 2013 | 6 |
About Michael A. Riegler
Michael A. Riegler is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Artificial Intelligence, Gastroenterology and Computer Science Applications, having authored 233 papers that have together received 4.4k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (34 papers), Video Analysis and Summarization (30 papers), Colorectal Cancer Screening and Detection (28 papers), AI in cancer detection (19 papers), Anomaly Detection Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Health Informatics (188 citations), Computer Vision and Pattern Recognition (1.4k citations), Gastroenterology (293 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Artificial Intelligence (1.4k citations). Michael A. Riegler has collaborated with scholars based in Norway, Sweden and Austria. Frequent co-authors include Pål Halvorsen, Steven A. Hicks, Dag Johansen, Thomas de Lange, Konstantin Pogorelov, Carsten Griwodz, Debesh Jha, Vajira Thambawita, Håvard D. Johansen and Sravanthi Parasa. Their work appears in journals such as Scientific Reports, IEEE Access, Scientific Data, Big Data and Cognitive Computing 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.