Leslie N. Smith
- Media Technology top 10%
- Advanced Image Fusion Techniques 4
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- Advanced Image Processing Techniques 5
- Image and Signal Denoising Methods 4
- Spectroscopy top 10%
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- Sparse and Compressive Sensing Techniques 2
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- Optimization and Search Problems 2
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- Seismic Imaging and Inversion Techniques 2
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- Reinforcement Learning in Robotics 2
- Neural Networks and Applications 2
- Co-authors
- Don SecrestMichael EladDavid J. MalikSarah WoodsPaul ElmoreА. В. КанаевWeilin HouFrederick E. Petry
- Cited by
- Critical Care and Intensive Care MedicineMedia TechnologyComputer Vision and Pattern Recognition
- Journals
- The Journal of Chemical Physics (2 papers)SHILAP Revista de lepidopterología (1 paper)Journal of Computational Physics (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Leslie N. Smith
22 papers receiving 323 citations
Peers
Comparison fields: 5 of 63
- Critical Care and Intensive Care Medicine 27
- Media Technology 44
- Computer Vision and Pattern Recognition 101
- Spectroscopy 81
- Atomic and Molecular Physics, and Optics 108
Countries citing papers authored by Leslie N. Smith
This map shows the geographic impact of Leslie N. Smith'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 Leslie N. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie N. Smith more than expected).
Fields of papers citing papers by Leslie N. Smith
This network shows the impact of papers produced by Leslie N. Smith. 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 Leslie N. Smith. The network helps show where Leslie N. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leslie N. Smith, 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 | 2023 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 2 | |
| 5 | Implementation of Capnography Monitoring to Improve Outcomes among Intensive Care Unit Patients on Patient-Controlled Analgesia or Opioids | 2021 | 1 |
| 6 | 2019 | 5 | |
| 7 | High Resolution Bathymetry Estimation Improvement with Single Image Super-Resolution Algorithm Super-Resolution Forests | 2017 | 1 |
| 8 | 2016 | 1 | |
| 9 | 2015 | 31 | |
| 10 | 2012 | 20 | |
| 11 | 2012 | 97 | |
| 12 | 2012 | 7 | |
| 13 | 2012 | 1 | |
| 14 | 2012 | 6 | |
| 15 | 2011 | 1 | |
| 16 | 2008 | 1 | |
| 17 | 2007 | 14 | |
| 18 | 1982 | 1 | |
| 19 | 1981 | 44 | |
| 20 | 1979 | 83 |
About Leslie N. Smith
Leslie N. Smith is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Critical Care and Intensive Care Medicine, having authored 22 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (4 papers), Sparse and Compressive Sensing Techniques (2 papers), Optimization and Search Problems (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Reinforcement Learning in Robotics (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (27 citations), Media Technology (44 citations) and Computer Vision and Pattern Recognition (101 citations). Leslie N. Smith has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Don Secrest, Michael Elad, David J. Malik, Sarah Woods, Paul Elmore, А. В. Канаев, Weilin Hou, Frederick E. Petry, Leslie A. Hamilton and Carey E. Priebe. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Computational 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.