Uri Lerner

2.3k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Uri Lerner is a scholar working on Artificial Intelligence, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Uri Lerner has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Environmental Engineering and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Uri Lerner's work include Air Quality Monitoring and Forecasting (6 papers), Air Quality and Health Impacts (5 papers) and Bayesian Modeling and Causal Inference (5 papers). Uri Lerner is often cited by papers focused on Air Quality Monitoring and Forecasting (6 papers), Air Quality and Health Impacts (5 papers) and Bayesian Modeling and Causal Inference (5 papers). Uri Lerner collaborates with scholars based in Israel, United States and France. Uri Lerner's co-authors include Barak Fishbain, David M. Broday, Alena Bartoňová, Matthias Vogt, Núria Castell, Franck René Dauge, Philipp Schneider, Daphne Koller, Ronald Parr and Gautam Biswas and has published in prestigious journals such as The Science of The Total Environment, Environment International and npj Digital Medicine.

In The Last Decade

Uri Lerner

14 papers receiving 1.2k citations

Hit Papers

Can commercial low-cost sensor platforms contribute to ai... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uri Lerner Israel 12 811 634 274 218 190 14 1.3k
Martha Arbayani Zaidan Finland 20 449 0.6× 315 0.5× 114 0.4× 168 0.8× 133 0.7× 65 1.1k
Ling Peng China 17 1.1k 1.3× 710 1.1× 120 0.4× 226 1.0× 344 1.8× 48 1.8k
Xiuwen Yi China 15 547 0.7× 355 0.6× 311 1.1× 82 0.4× 256 1.3× 23 2.2k
Xiaojing Yao China 14 818 1.0× 589 0.9× 89 0.3× 184 0.8× 270 1.4× 38 1.4k
Hamdy K. Elminir Egypt 19 437 0.5× 337 0.5× 716 2.6× 277 1.3× 113 0.6× 51 2.2k
Zhu Duan China 24 553 0.7× 341 0.5× 430 1.6× 94 0.4× 170 0.9× 49 1.7k
Yuexiong Ding Hong Kong 11 576 0.7× 382 0.6× 100 0.4× 91 0.4× 218 1.1× 23 1.1k
Da Gao China 15 198 0.2× 309 0.5× 269 1.0× 468 2.1× 52 0.3× 37 1.1k
Chong Huang China 20 276 0.3× 294 0.5× 92 0.3× 246 1.1× 82 0.4× 69 1.1k

Countries citing papers authored by Uri Lerner

Since Specialization
Citations

This map shows the geographic impact of Uri Lerner'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 Uri Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uri Lerner more than expected).

Fields of papers citing papers by Uri Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uri Lerner

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

All Works

14 of 14 papers shown
1.
David, Shirley Shapiro Ben, et al.. (2025). AI driven decision support reduces antibiotic mismatches and inappropriate use in outpatient urinary tract infections. npj Digital Medicine. 8(1). 61–61. 5 indexed citations
2.
Lerner, Uri, et al.. (2019). Optimal Deployment of a Heterogeneous Air Quality Sensor Network. Journal of Environmental Informatics. 20 indexed citations
3.
Castell, Núria, Franck René Dauge, Philipp Schneider, et al.. (2016). Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?. Environment International. 99. 293–302. 700 indexed citations breakdown →
4.
Lerner, Uri, et al.. (2016). Optimal Deployment of a Heterogeneous Environmental Sensor Network. ISEE Conference Abstracts. 2016(1). 1 indexed citations
5.
Lerner, Uri, et al.. (2015). The effect of ego-motion on environmental monitoring. The Science of The Total Environment. 533. 8–16. 14 indexed citations
6.
Lerner, Uri, et al.. (2015). Spectral methods for imputation of missing air quality data. ENVIRONMENTAL SYSTEMS RESEARCH. 4(1). 18 indexed citations
7.
Levy, Ilan, et al.. (2014). On the feasibility of measuring urban air pollution by wireless distributed sensor networks. The Science of The Total Environment. 502. 537–547. 169 indexed citations
8.
Lerner, Uri & Slav Petrov. (2013). Source-Side Classifier Preordering for Machine Translation. 513–523. 39 indexed citations
9.
Lerner, Uri & Ronald Parr. (2013). Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms. arXiv (Cornell University). 13 indexed citations
10.
Koller, Daphne, et al.. (2013). A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets. arXiv (Cornell University). 324–333. 19 indexed citations
11.
Lerner, Uri, Eran Segal, & Daphne Koller. (2013). Exact Inference in Networks with Discrete Children of Continuous Parents. arXiv (Cornell University). 319–328. 12 indexed citations
12.
Lerner, Uri, et al.. (2002). Monitoring a complex physical system using a hybrid dynamic bayes net. arXiv (Cornell University). 301–310. 34 indexed citations
13.
Lerner, Uri. (2002). Hybrid Bayesian Networks for Reasoning about Complex Systems. 97 indexed citations
14.
Lerner, Uri, Ronald Parr, Daphne Koller, & Gautam Biswas. (2000). Bayesian Fault Detection and Diagnosis in Dynamic Systems. National Conference on Artificial Intelligence. 531–537. 165 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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