Michael Riegler
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Information Systems top 10%
- Spam and Phishing Detection
Papers in ⓘ
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- Multimodal Machine Learning Applications 6
- Video Analysis and Summarization 5
- Advanced Image and Video Retrieval Techniques 5
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- AI in cancer detection 3
- Co-authors
- Giulia Boato (3 shared papers)Mathias Lux (6 shared papers)Symeon Papadopoulos (1 shared paper)Christina Boididou (1 shared paper)Duc‐Tien Dang‐Nguyen (8 shared papers)Cathal Gurrin (6 shared papers)Pål Halvorsen (9 shared papers)Liting Zhou (6 shared papers)
In The Last Decade
Michael Riegler
30 papers receiving 310 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 145
- Information Systems 92
- Artificial Intelligence 125
- Signal Processing 41
- Sociology and Political Science 115
Countries citing papers authored by Michael Riegler
This map shows the geographic impact of Michael 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 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 Riegler more than expected).
Fields of papers citing papers by Michael Riegler
This network shows the impact of papers produced by Michael 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 Riegler. The network helps show where Michael Riegler may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Verifying Multimedia Use at MediaEval 2015 | 2015 | 106 |
| 2 | 2014 | 29 | |
| 3 | CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. | 2017 | 27 |
| 4 | Overview of ImageCLEFlifelog 2018: daily living understanding and lifelog moment retrieval | 2018 | 19 |
| 5 | Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization. | 2017 | 15 |
| 6 | 2014 | 15 | |
| 7 | 2013 | 14 | |
| 8 | Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval. | 2019 | 12 |
| 9 | 2017 | 12 | |
| 10 | Deep Learning Approaches for Flood Classification and Flood Aftermath Detection. | 2018 | 9 |
| 11 | Organizer team at ImageCLEFlifelog 2017: baseline approaches for lifelog retrieval and summarization | 2017 | 9 |
| 12 | 2019 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2023 | 6 | |
| 16 | Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task. | 2018 | 6 |
| 17 | 2021 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 4 | |
| 20 | Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection. | 2018 | 3 |
About Michael Riegler
Michael Riegler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Health Information Management, having authored 33 papers that have together received 338 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Video Analysis and Summarization (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), AI in cancer detection (3 papers), Software System Performance and Reliability (3 papers), COVID-19 diagnosis using AI (2 papers), Music and Audio Processing (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Information Systems (92 citations), Artificial Intelligence (125 citations), Signal Processing (41 citations) and Sociology and Political Science (115 citations). Michael Riegler has collaborated with scholars based in Norway, Austria and Italy. Frequent co-authors include Giulia Boato, Mathias Lux, Symeon Papadopoulos, Christina Boididou, Duc‐Tien Dang‐Nguyen, Cathal Gurrin, Pål Halvorsen, Liting Zhou, Luca Piras and Martha Larson. Their work appears in journals such as Scientific Reports, Journal of Systems and Software, Qualitative Health Research, Computer Science Review and Cluster Computing.
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.