Ute Schmid
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Emanuel KitzelmannBettina FinzelStephen MuggletonJosé Hernández‐OralloMichael SiebersKatharina WeitzJens-Uwe GarbasTeena Hassan
- Topics
- Explainable Artificial Intelligence (XAI) (18 papers)AI-based Problem Solving and Planning (12 papers)Computability, Logic, AI Algorithms (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACM
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ute Schmid
91 papers receiving 801 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 488
- Computational Theory and Mathematics 108
- Information Systems 106
- Computer Vision and Pattern Recognition 95
- Experimental and Cognitive Psychology 87
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-authorship network of co-authors of Ute Schmid
This figure shows the co-authorship network connecting the top 25 collaborators of Ute Schmid. A scholar is included among the top collaborators of Ute Schmid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ute Schmid. Ute Schmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | Explaining Machine Learned Relational Concepts in Visual Domains - Effects of Perceived Accuracy on Joint Performance and Trust | 6 |
| 11 | 62 | |
| 12 | “Keep It Going, Girl!” An Empirical Analysis of Gender Differences and Inequalities in Computer Sciences | 3 |
| 13 | A Human Like Incremental Decision Tree Algorithm: Combining Rule Learning, Pattern Induction, and Storing Examples. | 2 |
| 14 | Computer models solving intelligence test problems: progress and implications | 0 |
| 15 | Analogical Problem Solving: Insights from Verbal Reports | 3 |
| 16 | Mapping and Inference in Analogical Problem Solving — As Much as Needed or as Much as Possible? | 2 |
| 17 | Cognition and AI. | 2 |
| 18 | Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach | 40 |
| 19 | Ontological Aspects of Computing Analogies. | 4 |
| 20 | Applying inductive program synthesis to macro learning | 8 |
About Ute Schmid
Ute Schmid is a scholar working on Computer Science Applications, Artificial Intelligence and Health Informatics, having authored 100 papers that have together received 870 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (18 papers), AI-based Problem Solving and Planning (12 papers) and Computability, Logic, AI Algorithms (11 papers). The work is most often cited by research in Health Informatics (50 citations), Artificial Intelligence (488 citations) and Software (45 citations). Ute Schmid has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Emanuel Kitzelmann, Bettina Finzel, Stephen Muggleton, José Hernández‐Orallo, Michael Siebers, Katharina Weitz, Jens-Uwe Garbas, Teena Hassan, Tarek R. Besold and Sumit Gulwani. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Communications of the ACM.
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.