Daniel Stadler
Impact in
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- Neuroscience of respiration and sleep
- Physiology top 10%
- Obstructive Sleep Apnea Research
Papers in
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- Neuroscience of respiration and sleep 7
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- Video Surveillance and Tracking Methods 7
- Co-authors
- Jürgen Beyerer (7 shared papers)Peter Catcheside (7 shared papers)R. Doug McEvoy (6 shared papers)Rajeev Ratnavadivel (2 shared papers)Nuy Chau (1 shared paper)Aeneas Yeo (1 shared paper)Denzil Paul (2 shared papers)Kate E. Sprecher (1 shared paper)
In The Last Decade
Daniel Stadler
16 papers receiving 558 citations
Peers
Comparison fields: 5 of 68
- Endocrine and Autonomic Systems 222
- Physiology 296
- Computer Vision and Pattern Recognition 220
- Cognitive Neuroscience 142
- Safety, Risk, Reliability and Quality 44
Countries citing papers authored by Daniel Stadler
This map shows the geographic impact of Daniel Stadler'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 Daniel Stadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stadler more than expected).
Fields of papers citing papers by Daniel Stadler
This network shows the impact of papers produced by Daniel Stadler. 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 Daniel Stadler. The network helps show where Daniel Stadler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stadler, 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 | 2009 | 150 | |
| 2 | 2021 | 87 | |
| 3 | 2022 | 55 | |
| 4 | 2009 | 54 | |
| 5 | 2009 | 52 | |
| 6 | 2021 | 39 | |
| 7 | 2010 | 32 | |
| 8 | 2023 | 22 | |
| 9 | 2005 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2023 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 4 |
About Daniel Stadler
Daniel Stadler is a scholar working on Endocrine and Autonomic Systems, Computer Vision and Pattern Recognition, Physiology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 568 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Neuroscience of respiration and sleep (7 papers), Obstructive Sleep Apnea Research (6 papers), Anomaly Detection Techniques and Applications (5 papers), Fire Detection and Safety Systems (3 papers), Dysphagia Assessment and Management (2 papers), Respiratory Support and Mechanisms (2 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (222 citations), Physiology (296 citations), Computer Vision and Pattern Recognition (220 citations), Cognitive Neuroscience (142 citations) and Safety, Risk, Reliability and Quality (44 citations). Daniel Stadler has collaborated with scholars based in Australia and Germany. Frequent co-authors include Jürgen Beyerer, Peter Catcheside, R. Doug McEvoy, Rajeev Ratnavadivel, Nuy Chau, Aeneas Yeo, Denzil Paul, Kate E. Sprecher, Melissa Ryan and Rachel McDonald. Their work appears in journals such as Journal of Applied Physiology, Journal of Clinical Sleep Medicine, SLEEP, Thorax and American Journal of Respiratory and Critical Care Medicine.
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.