Kaleb E Smith

967 total citations · 1 hit paper
5 papers, 471 citations indexed

About

Kaleb E Smith is a scholar working on Artificial Intelligence, Ecology and Environmental Engineering. According to data from OpenAlex, Kaleb E Smith has authored 5 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Ecology and 1 paper in Environmental Engineering. Recurrent topics in Kaleb E Smith's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Machine Learning in Healthcare (3 papers). Kaleb E Smith is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Machine Learning in Healthcare (3 papers). Kaleb E Smith collaborates with scholars based in United States. Kaleb E Smith's co-authors include Xi Yang, Yonghui Wu, Aokun Chen, Jiang Bian, Anthony Costa, Mona G. Flores, Colin B. Compas, Cheryl Martin, Gloria Lipori and Christopher A. Harle and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics and npj Digital Medicine.

In The Last Decade

Kaleb E Smith

4 papers receiving 454 citations

Hit Papers

A large language model for electronic health records 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaleb E Smith United States 3 267 190 89 69 69 5 471
Aokun Chen United States 8 405 1.5× 288 1.5× 135 1.5× 90 1.3× 95 1.4× 24 743
Colin B. Compas United States 7 262 1.0× 182 1.0× 190 2.1× 75 1.1× 68 1.0× 15 618
Jan Clusmann Germany 6 211 0.8× 299 1.6× 140 1.6× 50 0.7× 39 0.6× 17 545
Sophia J. Wagner Germany 6 238 0.9× 290 1.5× 165 1.9× 42 0.6× 35 0.5× 10 543
Yikuan Li United States 11 315 1.2× 110 0.6× 123 1.4× 76 1.1× 82 1.2× 21 606
Michaela Unger Germany 4 237 0.9× 291 1.5× 173 1.9× 48 0.7× 34 0.5× 5 556
Chiara Maria Lavinia Löffler Germany 4 209 0.8× 287 1.5× 159 1.8× 39 0.6× 34 0.5× 7 514
Christian Bluethgen Switzerland 9 265 1.0× 283 1.5× 207 2.3× 53 0.8× 34 0.5× 11 566
Aniek F. Markus Netherlands 6 304 1.1× 197 1.0× 70 0.8× 21 0.3× 65 0.9× 12 527
Joy T. Wu United States 10 205 0.8× 90 0.5× 173 1.9× 86 1.2× 52 0.8× 22 451

Countries citing papers authored by Kaleb E Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kaleb E Smith

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

All Works

5 of 5 papers shown
2.
Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2024). Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. Journal of the American Medical Informatics Association. 31(9). 1892–1903. 10 indexed citations
3.
Cheng, Peng, Xi Yang, Kaleb E Smith, et al.. (2024). Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. Journal of Biomedical Informatics. 153. 104630–104630. 26 indexed citations
4.
Yang, Xi, Aokun Chen, Kaleb E Smith, et al.. (2022). A large language model for electronic health records. npj Digital Medicine. 5(1). 194–194. 434 indexed citations breakdown →
5.
Zhang, Boya, Kaleb E Smith, Shimon Wdowinski, et al.. (2022). Space-Based Mapping of Mangrove Canopy Height with Multi-Sensor Observations and Deep Learning Techniques. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 116. 3389–3392. 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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