Ute Schmid
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- AI-based Problem Solving and Planning
- Machine Learning and Algorithms
- Logic, programming, and type systems
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Machine Learning in Healthcare
Papers in
-
- Explainable Artificial Intelligence (XAI) 30
- AI-based Problem Solving and Planning 24
- Machine Learning and Algorithms 16
- Logic, programming, and type systems 14
- Semantic Web and Ontologies 14
- Machine Learning and Data Classification 11
-
- Computability, Logic, AI Algorithms 20
- Co-authors
- Emanuel Kitzelmann (15 shared papers)Bettina Finzel (11 shared papers)Stephen Muggleton (7 shared papers)Michael Siebers (21 shared papers)José Hernández‐Orallo (6 shared papers)Katharina Weitz (5 shared papers)Tarek R. Besold (3 shared papers)Teena Hassan (3 shared papers)
- Journals
- Lecture notes in computer science (33 papers)Cognitive Systems Research (3 papers)Machine Learning (3 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)KI - Künstliche Intelligenz (11 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Ute Schmid
142 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 134
- Health Informatics 66
- Artificial Intelligence 818
- Software 63
- Computer Science Applications 82
- Computational Theory and Mathematics 208
Countries citing papers authored by Ute Schmid
This map shows the geographic impact of Ute Schmid'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 Ute Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Schmid more than expected).
Fields of papers citing papers by Ute Schmid
This network shows the impact of papers produced by Ute Schmid. 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 Ute Schmid. The network helps show where Ute Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Schmid, 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 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2020 | 70 | |
| 3 | 2018 | 67 | |
| 4 | Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach | 2006 | 58 |
| 5 | 2005 | 50 | |
| 6 | 2020 | 50 | |
| 7 | 2015 | 45 | |
| 8 | 2019 | 41 | |
| 9 | 2016 | 40 | |
| 10 | 2010 | 37 | |
| 11 | 2010 | 32 | |
| 12 | 2020 | 31 | |
| 13 | 2023 | 27 | |
| 14 | 2021 | 25 | |
| 15 | Inductive Synthesis of Functional Programs: Universal Planning, Folding of Finite Programs, and Schema Abstraction by Analogical Reasoning | 2003 | 25 |
| 16 | 2008 | 24 | |
| 17 | 2024 | 23 | |
| 18 | 2021 | 22 | |
| 19 | 2015 | 22 | |
| 20 | 2010 | 19 |
About Ute Schmid
Ute Schmid is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Information Systems, having authored 166 papers that have together received 1.4k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (30 papers), AI-based Problem Solving and Planning (24 papers), Computability, Logic, AI Algorithms (20 papers), Machine Learning and Algorithms (16 papers), Logic, programming, and type systems (14 papers), Semantic Web and Ontologies (14 papers), Teaching and Learning Programming (11 papers) and Machine Learning and Data Classification (11 papers). The work is most often cited by research in Health Informatics (66 citations), Artificial Intelligence (818 citations), Software (63 citations), Computer Science Applications (82 citations) and Computational Theory and Mathematics (208 citations). Ute Schmid has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Emanuel Kitzelmann, Bettina Finzel, Stephen Muggleton, Michael Siebers, José Hernández‐Orallo, Katharina Weitz, Tarek R. Besold, Teena Hassan, Jens-Uwe Garbas and Kai‐Uwe Kühnberger. Their work appears in journals such as Lecture notes in computer science, Cognitive Systems Research, Machine Learning, IEEE Transactions on Visualization and Computer Graphics and KI - Künstliche Intelligenz.
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.