Sandra Zilles
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Robert C. HolteSteffen LangeThomas ZeugmannOsmar R. Zaı̈aneLevi H. S. LelisHans Ulrich SimonJingwei ChenNathan Sturtevant
- Topics
- Machine Learning and Algorithms (38 papers)Algorithms and Data Compression (23 papers)AI-based Problem Solving and Planning (14 papers)
In The Last Decade
Sandra Zilles
71 papers receiving 553 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 419
- Computer Networks and Communications 151
- Computational Theory and Mathematics 145
- Computer Vision and Pattern Recognition 93
- Information Systems 56
Countries citing papers authored by Sandra Zilles
This map shows the geographic impact of Sandra Zilles'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 Sandra Zilles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Zilles more than expected).
Fields of papers citing papers by Sandra Zilles
This network shows the impact of papers produced by Sandra Zilles. 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 Sandra Zilles. The network helps show where Sandra Zilles may publish in the future.
Co-authorship network of co-authors of Sandra Zilles
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Zilles. A scholar is included among the top collaborators of Sandra Zilles 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 Sandra Zilles. Sandra Zilles 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 | 13 | |
| 3 | On the barrier-resilience of arrangements of ray-sensors | 0 |
| 4 | Preference-based Teaching of Unions of Geometric Objects. | 0 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Heuristic subset selection in classical planning | 6 |
| 8 | The complexity of learning acyclic CP-nets | 5 |
| 9 | Open Problem: Recursive Teaching Dimension Versus VC Dimension | 6 |
| 10 | 1 | |
| 11 | Sample Compression for Multi-label Concept Classes | 1 |
| 12 | 22 | |
| 13 | Using Coarse State Space Abstractions to Detect Mutex Pairs | 2 |
| 14 | 12 | |
| 15 | Downward Path Preserving State Space Abstractions (Extended Abstract) | 1 |
| 16 | What Is the Role of the Semantic Layer Cake for Guiding the Use of Knowledge Representation and Machine Learning in the Development of the Semantic Web | 2 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | 1 |
About Sandra Zilles
Sandra Zilles is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 78 papers that have together received 598 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (38 papers), Algorithms and Data Compression (23 papers) and AI-based Problem Solving and Planning (14 papers). The work is most often cited by research in Artificial Intelligence (419 citations), Computational Theory and Mathematics (145 citations) and Computer Networks and Communications (151 citations). Sandra Zilles has collaborated with scholars based in Canada, Germany and Singapore. Frequent co-authors include Robert C. Holte, Steffen Lange, Thomas Zeugmann, Osmar R. Zaı̈ane, Levi H. S. Lelis, Hans Ulrich Simon, Jingwei Chen, Nathan Sturtevant, Martin Zinkevich and Ricard Gavaldà. Their work appears in journals such as Bioinformatics, Artificial Intelligence and Medical Physics.
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.