Taylor Glenn
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Remote Sensing and Land Use
Papers in
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- Geophysical Methods and Applications 5
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- Remote-Sensing Image Classification 5
- Advanced Image Fusion Techniques 3
- Co-authors
- Alina Zare (7 shared papers)Paul Gader (10 shared papers)Changzhe Jiao (1 shared paper)Julien Michel (1 shared paper)Fabio Pacifici (1 shared paper)Devis Tuia (1 shared paper)Emmanuel Christophe (1 shared paper)Qian Du (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Pain (1 paper)IEEE Transactions on Fuzzy Systems (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesSwitzerlandSingapore
In The Last Decade
Taylor Glenn
14 papers receiving 295 citations
Peers
Comparison fields: 5 of 66
- Media Technology 181
- Atmospheric Science 97
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 75
- Ocean Engineering 36
Countries citing papers authored by Taylor Glenn
This map shows the geographic impact of Taylor Glenn'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 Taylor Glenn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor Glenn more than expected).
Fields of papers citing papers by Taylor Glenn
This network shows the impact of papers produced by Taylor Glenn. 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 Taylor Glenn. The network helps show where Taylor Glenn may publish in the future.
Co-authors
The 25 scholars most cited alongside Taylor Glenn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 149 | |
| 2 | 2017 | 54 | |
| 3 | 2014 | 51 | |
| 4 | 2004 | 9 | |
| 5 | 2005 | 9 | |
| 6 | 2021 | 8 | |
| 7 | 2013 | 5 | |
| 8 | 2012 | 5 | |
| 9 | 2011 | 4 | |
| 10 | 2005 | 4 | |
| 11 | 2013 | 4 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2013 | 0 |
About Taylor Glenn
Taylor Glenn is a scholar working on Ocean Engineering, Media Technology, Geophysics, Biomedical Engineering and Artificial Intelligence, having authored 15 papers that have together received 305 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (5 papers), Geophysical Methods and Applications (5 papers), Remote Sensing and Land Use (3 papers), Advanced Image Fusion Techniques (3 papers), Microwave Imaging and Scattering Analysis (3 papers), Geophysical and Geoelectrical Methods (2 papers), Fault Detection and Control Systems (2 papers) and Earthquake Detection and Analysis (2 papers). The work is most often cited by research in Media Technology (181 citations), Atmospheric Science (97 citations), Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (75 citations) and Ocean Engineering (36 citations). Taylor Glenn has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Alina Zare, Paul Gader, Changzhe Jiao, Julien Michel, Fabio Pacifici, Devis Tuia, Emmanuel Christophe, Qian Du, Michele Volpi and Jordi Inglada. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pain, IEEE Transactions on Fuzzy Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Zenodo (CERN European Organization for Nuclear 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.