Robert DiPietro
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
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- Infrared Target Detection Methodologies 3
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- Topic Modeling 2
- Machine Learning in Healthcare 2
- Co-authors
- Gregory D. Hager (4 shared papers)Dimitris G. Manolakis (4 shared papers)Steven E. Golowich (2 shared papers)Nassir Navab (3 shared papers)Christian Rupprecht (2 shared papers)Maximilian Baust (1 shared paper)Federico Tombari (1 shared paper)Iro Laina (1 shared paper)
- Journals
- Optical Engineering (1 paper)IEEE Signal Processing Magazine (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)arXiv (Cornell University) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Robert DiPietro
10 papers receiving 227 citations
Peers
Comparison fields: 5 of 66
- Media Technology 62
- Health Informatics 8
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 56
- Automotive Engineering 20
Countries citing papers authored by Robert DiPietro
This map shows the geographic impact of Robert DiPietro'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 Robert DiPietro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert DiPietro more than expected).
Fields of papers citing papers by Robert DiPietro
This network shows the impact of papers produced by Robert DiPietro. 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 Robert DiPietro. The network helps show where Robert DiPietro may publish in the future.
Co-authors
The 19 scholars most cited alongside Robert DiPietro, 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 | 2017 | 86 | |
| 2 | 2019 | 47 | |
| 3 | 2014 | 46 | |
| 4 | 2012 | 23 | |
| 5 | 2010 | 16 | |
| 6 | Revisiting NARX Recurrent Neural Networks for Long-Term Dependencies. | 2017 | 4 |
| 7 | Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies | 2018 | 4 |
| 8 | 2012 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2013 | 1 |
About Robert DiPietro
Robert DiPietro is a scholar working on Aerospace Engineering, Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 10 papers that have together received 233 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (3 papers), Remote-Sensing Image Classification (3 papers), Topic Modeling (2 papers), Machine Learning in Healthcare (2 papers), EEG and Brain-Computer Interfaces (2 papers), Optical and Acousto-Optic Technologies (2 papers), Atmospheric and Environmental Gas Dynamics (1 paper) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Media Technology (62 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (56 citations) and Automotive Engineering (20 citations). Robert DiPietro has collaborated with scholars based in United States and Germany. Frequent co-authors include Gregory D. Hager, Dimitris G. Manolakis, Steven E. Golowich, Nassir Navab, Christian Rupprecht, Maximilian Baust, Federico Tombari, Iro Laina, Madeleine M. Waldram and Anand Malpani. Their work appears in journals such as Optical Engineering, IEEE Signal Processing Magazine, International Journal of Computer Assisted Radiology and Surgery, arXiv (Cornell University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.