David Schneeberger
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 3
- Privacy-Preserving Technologies in Data 1
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- Ethics and Social Impacts of AI 3
- Co-authors
- Andreas Holzinger (4 shared papers)Heimo Müller (1 shared paper)Carl Orge Retzlaff (1 shared paper)Anna Saranti (1 shared paper)Alessa Angerschmid (1 shared paper)Richard Röttger (1 shared paper)Peter Kieseberg (1 shared paper)Gianclaudio Malgieri (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Expert Systems with Applications (1 paper)Cognitive Systems Research (1 paper)Computer law & security review (1 paper)
- Partner nations
- AustriaItalyNetherlands
In The Last Decade
David Schneeberger
4 papers receiving 255 citations
David Schneeberger's Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 66
- Safety Research 34
- Artificial Intelligence 129
- Family Practice 4
- Information Systems and Management 13
Countries citing papers authored by David Schneeberger
This map shows the geographic impact of David Schneeberger'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 David Schneeberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schneeberger more than expected).
Fields of papers citing papers by David Schneeberger
This network shows the impact of papers produced by David Schneeberger. 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 David Schneeberger. The network helps show where David Schneeberger may publish in the future.
Co-authors
The 10 scholars most cited alongside David Schneeberger, 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 | Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists Hit paper breakdown → | 2024 | 84 |
| 2 | 2021 | 81 | |
| 3 | 2022 | 58 | |
| 4 | 2021 | 34 | |
| 5 | 2025 | 0 |
About David Schneeberger
David Schneeberger is a scholar working on Artificial Intelligence, Safety Research, Information Systems and Management, Health Informatics and Management of Technology and Innovation, having authored 5 papers that have together received 257 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Scientific Computing and Data Management (2 papers), Privacy-Preserving Technologies in Data (1 paper), Digital Innovation in Industries (1 paper), Technology, Environment, Urban Planning (1 paper) and Digitalization, Law, and Regulation (1 paper). The work is most often cited by research in Health Informatics (66 citations), Safety Research (34 citations), Artificial Intelligence (129 citations), Family Practice (4 citations) and Information Systems and Management (13 citations). David Schneeberger has collaborated with scholars based in Austria, Italy and Netherlands. Frequent co-authors include Andreas Holzinger, Heimo Müller, Carl Orge Retzlaff, Anna Saranti, Alessa Angerschmid, Richard Röttger, Peter Kieseberg, Gianclaudio Malgieri, Andrea Campagner and Federico Cabitza. Their work appears in journals such as Communications of the ACM, Expert Systems with Applications, Cognitive Systems Research and Computer law & security review.
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.