Kaleb E. Smith
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Image Enhancement Techniques 2
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 2
-
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Mona G. Flores (1 shared paper)Yonghui Wu (1 shared paper)Anthony Costa (1 shared paper)Mustafa M. Ahmed (1 shared paper)Aokun Chen (2 shared papers)Tanja Magoč (1 shared paper)Jiang Bian (1 shared paper)Duane A. Mitchell (1 shared paper)
- Journals
- Remote Sensing (1 paper)Scientific Reports (1 paper)Journal of Biomedical Informatics (1 paper)Physics of Fluids (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesCanadaArgentina
In The Last Decade
Kaleb E. Smith
18 papers receiving 268 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 76
- Health Information Management 20
- Artificial Intelligence 91
- Family Practice 3
- Signal Processing 13
Countries citing papers authored by Kaleb E. Smith
This map shows the geographic impact of Kaleb E. 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 Kaleb E. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaleb E. Smith more than expected).
Fields of papers citing papers by Kaleb E. Smith
This network shows the impact of papers produced by Kaleb E. 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 Kaleb E. Smith. The network helps show where Kaleb E. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaleb E. 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 223 | |
| 2 | 2016 | 8 | |
| 3 | 2018 | 6 | |
| 4 | 2018 | 6 | |
| 5 | 2018 | 4 | |
| 6 | 2018 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2012 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2005 | 2 | |
| 13 | 1962 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Kaleb E. Smith
Kaleb E. Smith is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Ocean Engineering and Geophysics, having authored 21 papers that have together received 273 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (3 papers), Image Enhancement Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers), Seismic Waves and Analysis (2 papers), Video Surveillance and Tracking Methods (2 papers), Complex Systems and Time Series Analysis (2 papers) and Aerodynamics and Acoustics in Jet Flows (1 paper). The work is most often cited by research in Health Informatics (76 citations), Health Information Management (20 citations), Artificial Intelligence (91 citations), Family Practice (3 citations) and Signal Processing (13 citations). Kaleb E. Smith has collaborated with scholars based in United States, Canada and Argentina. Frequent co-authors include Mona G. Flores, Yonghui Wu, Anthony Costa, Mustafa M. Ahmed, Aokun Chen, Tanja Magoč, Jiang Bian, Duane A. Mitchell, Ying Zhang and Yi Guo. Their work appears in journals such as Remote Sensing, Scientific Reports, Journal of Biomedical Informatics, Physics of Fluids and npj Digital Medicine.
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.