Filson H. Glanz
- Control and Systems Engineering top 2%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Biomedical Engineering
- Co-authors
- Wallace T. MillerL.G. KraftShuicheng Yan
- Topics
- Neural Networks and Applications (6 papers)Iterative Learning Control Systems (2 papers)Target Tracking and Data Fusion in Sensor Networks (2 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEEThe International Journal of Robotics Research
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Filson H. Glanz
12 papers receiving 947 citations
Peers
Comparison fields: 5 of 86
- Control and Systems Engineering 557
- Artificial Intelligence 494
- Computer Vision and Pattern Recognition 236
- Mechanical Engineering 114
- Biomedical Engineering 95
Countries citing papers authored by Filson H. Glanz
This map shows the geographic impact of Filson H. Glanz'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 Filson H. Glanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filson H. Glanz more than expected).
Fields of papers citing papers by Filson H. Glanz
This network shows the impact of papers produced by Filson H. Glanz. 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 Filson H. Glanz. The network helps show where Filson H. Glanz may publish in the future.
Co-authorship network of co-authors of Filson H. Glanz
This figure shows the co-authorship network connecting the top 25 collaborators of Filson H. Glanz. A scholar is included among the top collaborators of Filson H. Glanz 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 Filson H. Glanz. Filson H. Glanz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 45 | |
| 3 | Cerebellar model arithmetic computer | 3 |
| 4 | 2 | |
| 5 | 245 | |
| 6 | 255 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 272 | |
| 10 | 163 | |
| 11 | 4 | |
| 12 | Statistical extrapolation in certain adaptive pattern-recognition systems | 14 |
About Filson H. Glanz
Filson H. Glanz is a scholar working on Artificial Intelligence, Analytical Chemistry and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Iterative Learning Control Systems (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Control and Systems Engineering (557 citations), Artificial Intelligence (494 citations) and Computer Vision and Pattern Recognition (236 citations). Filson H. Glanz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Wallace T. Miller, L.G. Kraft and Shuicheng Yan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and The International Journal of Robotics Research.
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.