Louise Stark
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Cognitive Neuroscience
- Co-authors
- Kevin W. BowyerMelanie SuttonDaniel EggertDmitry B. GoldgofAdam HooverKevin GreenLawrence HallGeorge Stockman
- Topics
- Robotics and Sensor-Based Localization (10 papers)Advanced Image and Video Retrieval Techniques (8 papers)Image Retrieval and Classification Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEEPattern Recognition
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Louise Stark
37 papers receiving 360 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 268
- Aerospace Engineering 132
- Artificial Intelligence 90
- Control and Systems Engineering 84
- Cognitive Neuroscience 28
Countries citing papers authored by Louise Stark
This map shows the geographic impact of Louise Stark'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 Louise Stark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louise Stark more than expected).
Fields of papers citing papers by Louise Stark
This network shows the impact of papers produced by Louise Stark. 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 Louise Stark. The network helps show where Louise Stark may publish in the future.
Co-authorship network of co-authors of Louise Stark
This figure shows the co-authorship network connecting the top 25 collaborators of Louise Stark. A scholar is included among the top collaborators of Louise Stark 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 Louise Stark. Louise Stark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | Towards a domain-independent function-based recognition system | 3 |
| 12 | 21 | |
| 13 | 23 | |
| 14 | Learning combination of evidence functions in object recognition | 2 |
| 15 | 1 | |
| 16 | Applications of Artificial Intelligence 1993: Machine Vision and Robotics | 1 |
| 17 | 0 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | Mathematical concepts of central nervous system function | 2 |
About Louise Stark
Louise Stark is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 39 papers that have together received 407 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (268 citations), Aerospace Engineering (132 citations) and Computer Graphics and Computer-Aided Design (16 citations). Louise Stark has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kevin W. Bowyer, Melanie Sutton, Daniel Eggert, Dmitry B. Goldgof, Adam Hoover, Kevin Green, Lawrence Hall, George Stockman, Diane J. Cook and K. Woods. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Pattern Recognition.
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.