Lauren A. Hannah

811 citations
16 papers · 300 indexed · h-index 9

Lauren A. Hannah

16 papers receiving 278 citations

Peers

Lauren A. Hannah
Comparison fields: 5 of 98
  • Statistics and Probability 79
  • Modeling and Simulation 29
  • Management Science and Operations Research 43
  • Artificial Intelligence 109
  • Numerical Analysis 12
Replace Mathieu Laurière with:
Mathieu Laurière United States
Pierre-André Zitt France
George Tsaklidis Greece
Federico Bassetti Italy
Levon Nurbekyan United States
Kenneth S. Berenhaut United States
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Frederic Utzet Spain
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Citations per field
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Citations per year

Countries citing papers authored by Lauren A. Hannah

Since Specialization
Citations

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

Fields of papers citing papers by Lauren A. Hannah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren A. Hannah. 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 Lauren A. Hannah. The network helps show where Lauren A. Hannah may publish in the future.

Co-authorship network

The 18 scholars most cited alongside Lauren A. Hannah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lauren A. Hannah Line = papers co-authored together Lauren A. Hannah links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202215
2 202117
3 201914
4 201733
5
Summarizing Topics: From Word Lists to Phrases
20141
6 20145
7 201349
8 20124
9 201215
10
Approximate Dynamic Programming for Storage Problems
201124
11 201187
12
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
201021
13
Stochastic search, optimization and regression with energy applications
20102
14 20106
15 20104
16 20093

About Lauren A. Hannah

Lauren A. Hannah is a scholar working on Statistics and Probability, Modeling and Simulation and Computational Theory and Mathematics, having authored 16 papers that have together received 300 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Bayesian Methods and Mixture Models (3 papers), Statistical Methods and Bayesian Inference (2 papers), COVID-19 epidemiological studies (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Optimal Experimental Design Methods (2 papers) and Economic theories and models (1 paper). The work is most often cited by research in Statistics and Probability (79 citations), Modeling and Simulation (29 citations) and Management Science and Operations Research (43 citations). Lauren A. Hannah has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include David B. Dunson, Warren B. Powell, David M. Blei, Andrew J. Millis, Dan Blanchon, Andrew C. Miller, Joseph Futoma, Emily B. Fox, Nicholas J. Foti and Sean Jewell. Their work appears in journals such as Journal of Machine Learning Research, npj Digital Medicine, Journal of Cutaneous Pathology, IEEE Transactions on Automatic Control and Epidemiology.

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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