Kaleb Smith

483 total citations
15 papers, 218 citations indexed

About

Kaleb Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Kaleb Smith has authored 15 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Ocean Engineering. Recurrent topics in Kaleb Smith's work include Time Series Analysis and Forecasting (2 papers), Seismic Waves and Analysis (2 papers) and Image Enhancement Techniques (2 papers). Kaleb Smith is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Seismic Waves and Analysis (2 papers) and Image Enhancement Techniques (2 papers). Kaleb Smith collaborates with scholars based in United States, Canada and Argentina. Kaleb Smith's co-authors include Xi Yang, Cheryl Martin, Yonghui Wu, Tanja Magoč, Ying Zhang, Peng Cheng, Naykky Singh Ospina, Gloria Lipori, Anthony Costa and Elizabeth Shenkman and has published in prestigious journals such as Remote Sensing, Physics of Fluids and Journal of Cereal Science.

In The Last Decade

Kaleb Smith

11 papers receiving 211 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaleb Smith United States 4 108 79 34 21 16 15 218
Elisa Nguyen Netherlands 5 171 1.6× 40 0.5× 25 0.7× 22 1.0× 11 0.7× 5 294
Shirly Wang Canada 4 81 0.8× 57 0.7× 36 1.1× 23 1.1× 13 0.8× 4 179
Ziyang Xu United States 5 128 1.2× 122 1.5× 54 1.6× 20 1.0× 31 1.9× 11 256
Seyedeh Neelufar Payrovnaziri United States 5 142 1.3× 90 1.1× 21 0.6× 42 2.0× 9 0.6× 6 242
Stefan Hegselmann Germany 6 132 1.2× 53 0.7× 29 0.9× 29 1.4× 43 2.7× 18 233
Ruilong Dan China 2 153 1.4× 107 1.4× 50 1.5× 25 1.2× 27 1.7× 2 251
Lorenz Kuhn Switzerland 4 88 0.8× 49 0.6× 20 0.6× 9 0.4× 32 2.0× 4 203
Sebastian Farquhar United Kingdom 4 86 0.8× 51 0.6× 20 0.6× 5 0.2× 26 1.6× 8 215
Valentin Liévin Denmark 4 93 0.9× 55 0.7× 24 0.7× 6 0.3× 12 0.8× 6 162
Hunter Lang United States 3 113 1.0× 35 0.4× 18 0.5× 14 0.7× 16 1.0× 6 150

Countries citing papers authored by Kaleb Smith

Since Specialization
Citations

This map shows the geographic impact of Kaleb 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 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 Smith more than expected).

Fields of papers citing papers by Kaleb Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaleb 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 Smith. The network helps show where Kaleb Smith may publish in the future.

Co-authorship network of co-authors of Kaleb Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Kaleb Smith. A scholar is included among the top collaborators of Kaleb Smith 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 Kaleb Smith. Kaleb Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Zhou, Tiancheng, Dong Yang, Kaleb Smith, et al.. (2025). From image to report: automating lung cancer screening interpretation and reporting with vision-language models. Journal of Biomedical Informatics. 171. 104931–104931.
2.
Ren, Jie, Yupu Zhang, Maitane Olabarrieta, et al.. (2025). Accelerate Coastal Ocean Circulation Model with AI Surrogate. 223–235.
3.
Gann, Daniel, et al.. (2024). Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations. Remote Sensing. 16(21). 3992–3992. 2 indexed citations
4.
Balachandar, S., Yunchao Yang, Ying Zhang, et al.. (2024). Planar wall plumes bounded by vertical and inclined surfaces. Physics of Fluids. 36(3). 1 indexed citations
5.
Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2023). A study of generative large language model for medical research and healthcare. npj Digital Medicine. 6(1). 210–210. 186 indexed citations
6.
Zhou, Yu Rong & Kaleb Smith. (2019). Practical innovations enabling scalable optical transmission networks. 145 (4 pp.)–145 (4 pp.). 1 indexed citations
7.
Smith, Kaleb, et al.. (2018). Deep wavelet scattering features for infrasonic threat identification. 43–43. 3 indexed citations
9.
Smith, Kaleb, et al.. (2018). Near-field infrasound classification of rocket launch signatures. 51–51. 5 indexed citations
11.
Smith, Kaleb, et al.. (2018). Detail preservation of morphological operations through image scaling. 1–4. 1 indexed citations
12.
Myers, Andrew C., et al.. (2016). Adaptive Foreground Extraction for Deep Fish Classification. 19–24. 7 indexed citations
13.
Srinivasan, R. & Kaleb Smith. (2012). Additional wet milling step for fractionation of barley flour after hull separation. Journal of Cereal Science. 56(2). 248–252. 3 indexed citations
14.
Mehta, Nihaal, Kaleb Smith, & Frédéric Lawrence Holmes. (2005). Feature extraction as a tool for computer input. 7. 818–820. 1 indexed citations
15.
Smith, Kaleb. (1962). A Comparison of the Control Problems of Missiles and Manned Aircraft. Journal of the Royal Aeronautical Society. 66(615). 177–186. 1 indexed citations

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.

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