Leo L. Duan

61 total papers · 1.2k total citations
18 papers, 755 citations indexed

About

Leo L. Duan is a scholar working on Artificial Intelligence, Statistics and Probability and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Leo L. Duan has authored 18 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Leo L. Duan's work include Bayesian Methods and Mixture Models (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Leo L. Duan is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Leo L. Duan collaborates with scholars based in United States, Sweden and Canada. Leo L. Duan's co-authors include David B. Dunson, Gleb Tikhonov, Tomas Roslin, Anna Norberg, Otso Ovaskainen, F. Guillaume Blanchet, Nerea Abrego, Rhonda D. Szczesniak, John Clancy and Gary L. McPhail and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Ecology Letters.

In The Last Decade

Leo L. Duan

17 papers receiving 746 citations

Hit Papers

How to make more out of c... 2017 2026 2020 2023 2017 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Leo L. Duan 341 281 264 153 124 18 755
A Macdonald 375 1.1× 247 0.9× 143 0.5× 170 1.1× 114 0.9× 22 790
Rameez Ahmad 194 0.6× 310 1.1× 270 1.0× 207 1.4× 97 0.8× 39 703
Tracy M. Rout 501 1.5× 376 1.3× 255 1.0× 135 0.9× 180 1.5× 25 844
Olivier Dumay 368 1.1× 385 1.4× 135 0.5× 163 1.1× 243 2.0× 9 835
Kumar P. Mainali 331 1.0× 240 0.9× 301 1.1× 126 0.8× 277 2.2× 40 852
Carolyn G. Mahan 396 1.2× 190 0.7× 124 0.5× 160 1.0× 118 1.0× 33 686
Laura J. Martin 230 0.7× 145 0.5× 154 0.6× 108 0.7× 179 1.4× 25 881
Niklas Wengström 304 0.9× 346 1.2× 358 1.4× 308 2.0× 98 0.8× 12 762
Rudy M. King 427 1.3× 316 1.1× 70 0.3× 129 0.8× 236 1.9× 34 826
S. P. Rushton 561 1.6× 367 1.3× 360 1.4× 114 0.7× 144 1.2× 19 880

Countries citing papers authored by Leo L. Duan

Since Specialization
Citations

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

Fields of papers citing papers by Leo L. Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leo L. Duan. 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 Leo L. Duan. The network helps show where Leo L. Duan may publish in the future.

Co-authorship network of co-authors of Leo L. Duan

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

All Works

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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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