Michael Siebers
Impact in
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- Vaccine Coverage and Hesitancy
- Gun Ownership and Violence Research
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- Behavioral Health and Interventions
Papers in
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- AI-based Problem Solving and Planning 4
- Explainable Artificial Intelligence (XAI) 3
- Data Stream Mining Techniques 2
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- Cognitive Functions and Memory 2
- Co-authors
- Ute Schmid (17 shared papers)Sarah V. Biedermann (2 shared papers)Johannes Fuß (2 shared papers)Beat Lutz (1 shared paper)Laura Bîndilă (1 shared paper)José Hernández‐Orallo (3 shared papers)David L. Dowe (3 shared papers)Fernando Martínez‐Plumed (3 shared papers)
- Journals
- Journal of the American Geriatrics Society (2 papers)Frontiers in Physiology (1 paper)European Psychiatry (1 paper)Psychoneuroendocrinology (1 paper)The Neuroscientist (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Michael Siebers
21 papers receiving 189 citations
Peers
Comparison fields: 5 of 83
- Health 26
- Applied Psychology 9
- Information Systems and Management 13
- Pharmacology 29
- Experimental and Cognitive Psychology 23
Countries citing papers authored by Michael Siebers
This map shows the geographic impact of Michael Siebers'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 Siebers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Siebers more than expected).
Fields of papers citing papers by Michael Siebers
This network shows the impact of papers produced by Michael Siebers. 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 Siebers. The network helps show where Michael Siebers may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Siebers, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 39 | |
| 2 | 2015 | 37 | |
| 3 | 1985 | 27 | |
| 4 | 2022 | 21 | |
| 5 | 2008 | 14 | |
| 6 | 2018 | 8 | |
| 7 | 1997 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2015 | 5 | |
| 10 | 1992 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 4 | |
| 13 | Analogical Problem Solving: Insights from Verbal Reports | 2012 | 3 |
| 14 | 2019 | 3 | |
| 15 | Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain | 2012 | 2 |
| 16 | 2017 | 1 | |
| 17 | 2011 | 1 | |
| 18 | Intentionales Vergessen im Arbeitsalltag : Eine Critical Incident Untersuchung | 2017 | 1 |
| 19 | 2010 | 1 | |
| 20 | Forgetting in future work systems: System characteristics and user-related psychological consequences on emotion, cognition, and behaviors | 2018 | 1 |
About Michael Siebers
Michael Siebers is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Information Systems and Management and Pharmacology, having authored 27 papers that have together received 197 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (4 papers), Face and Expression Recognition (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Cognitive Functions and Memory (2 papers), Computability, Logic, AI Algorithms (2 papers), Cannabis and Cannabinoid Research (2 papers), Teaching and Learning Programming (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Health (26 citations), Applied Psychology (9 citations), Information Systems and Management (13 citations), Pharmacology (29 citations) and Experimental and Cognitive Psychology (23 citations). Michael Siebers has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ute Schmid, Sarah V. Biedermann, Johannes Fuß, Beat Lutz, Laura Bîndilă, José Hernández‐Orallo, David L. Dowe, Fernando Martínez‐Plumed, Cornelia Niessen and Carey E. Gleason. Their work appears in journals such as Journal of the American Geriatrics Society, Frontiers in Physiology, European Psychiatry, Psychoneuroendocrinology and The Neuroscientist.
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.