Paul Lemaître

947 total citations · 1 hit paper
4 papers, 655 citations indexed

About

Paul Lemaître is a scholar working on Electrical and Electronic Engineering, Statistics, Probability and Uncertainty and Surgery. According to data from OpenAlex, Paul Lemaître has authored 4 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Electrical and Electronic Engineering, 2 papers in Statistics, Probability and Uncertainty and 1 paper in Surgery. Recurrent topics in Paul Lemaître's work include Energy Load and Power Forecasting (2 papers), Probabilistic and Robust Engineering Design (1 paper) and Colorectal Cancer Screening and Detection (1 paper). Paul Lemaître is often cited by papers focused on Energy Load and Power Forecasting (2 papers), Probabilistic and Robust Engineering Design (1 paper) and Colorectal Cancer Screening and Detection (1 paper). Paul Lemaître collaborates with scholars based in Canada, France and India. Paul Lemaître's co-authors include Bertrand Iooss, James E. East, Remo Panaccione, Simon Travis, Marietta Iacucci, Rakesh Kalapala, Sameer Berry, D. Nageshwar Reddy, Florian Soudan and Nasim Parsa and has published in prestigious journals such as Journal of Crohn s and Colitis, arXiv (Cornell University) and RePEc: Research Papers in Economics.

In The Last Decade

Paul Lemaître

3 papers receiving 639 citations

Hit Papers

A Review on Global Sensit... 2015 2026 2018 2022 2015 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
Paul Lemaître Canada 3 249 105 87 83 61 4 655
Qiongli Wu China 9 160 0.6× 74 0.7× 129 1.5× 28 0.3× 63 1.0× 19 727
O. Arda Vanli United States 16 96 0.4× 153 1.5× 111 1.3× 40 0.5× 105 1.7× 52 692
Anton Olsson Sweden 3 251 1.0× 317 3.0× 50 0.6× 67 0.8× 34 0.6× 9 614
S. S. Isukapalli United States 5 268 1.1× 128 1.2× 98 1.1× 84 1.0× 28 0.5× 10 443
Sharon M. Deland United States 6 244 1.0× 92 0.9× 35 0.4× 100 1.2× 23 0.4× 6 528
Razi Sheikholeslami Iran 19 141 0.6× 373 3.6× 179 2.1× 234 2.8× 89 1.5× 42 1.2k
Sushan Li Germany 3 124 0.5× 61 0.6× 103 1.2× 19 0.2× 40 0.7× 6 540
Ksenia Aleksankina United Kingdom 4 123 0.5× 58 0.6× 120 1.4× 19 0.2× 42 0.7× 4 582
G. E. Archer United Kingdom 6 211 0.8× 90 0.9× 87 1.0× 44 0.5× 13 0.2× 6 550
Seongim Choi United States 18 204 0.8× 64 0.6× 83 1.0× 220 2.7× 37 0.6× 88 951

Countries citing papers authored by Paul Lemaître

Since Specialization
Citations

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

Fields of papers citing papers by Paul Lemaître

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Lemaître

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

All Works

4 of 4 papers shown
1.
Adulyasak, Yossiri, et al.. (2023). Bombardier Aftermarket Demand Forecast with Machine Learning. RePEc: Research Papers in Economics. 53(6). 425–445. 5 indexed citations
2.
Byrne, Michael F., Remo Panaccione, James E. East, et al.. (2022). Application of Deep Learning Models to Improve Ulcerative Colitis Endoscopic Disease Activity Scoring Under Multiple Scoring Systems. Journal of Crohn s and Colitis. 17(4). 463–471. 33 indexed citations
3.
Adulyasak, Yossiri, et al.. (2021). Bombardier Aftermarket Demand Forecast with Machine Learning. SSRN Electronic Journal. 1 indexed citations
4.
Iooss, Bertrand & Paul Lemaître. (2015). A Review on Global Sensitivity Analysis Methods. arXiv (Cornell University). 101–122. 616 indexed citations breakdown →

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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