Laura E. Brown
Impact in
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
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- Data Quality and Management
Papers in ⓘ
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- Teaching and Learning Programming 5
- Co-authors
- Ioannis Tsamardinos (9 shared papers)Constantin Aliferis (5 shared papers)Gordon G. Parker (1 shared paper)Wayne W. Weaver (1 shared paper)Lynn Mazzoleni (1 shared paper)Simeon Schum (1 shared paper)Alexander Statnikov (2 shared papers)Martha E. Pollack (1 shared paper)
- Journals
- Machine Learning (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Renewable Energy (1 paper)Fire (1 paper)IEEE Transactions on Industry Applications (1 paper)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Laura E. Brown
37 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 1.0k
- Management Science and Operations Research 226
- Statistics and Probability 125
- Control and Systems Engineering 269
- Computational Theory and Mathematics 173
Countries citing papers authored by Laura E. Brown
This map shows the geographic impact of Laura E. Brown'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 Laura E. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura E. Brown more than expected).
Fields of papers citing papers by Laura E. Brown
This network shows the impact of papers produced by Laura E. Brown. 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 Laura E. Brown. The network helps show where Laura E. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura E. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The max-min hill-climbing Bayesian network structure learning algorithm Hit paper breakdown → | 2006 | 1061 |
| 2 | Pearl: A Mobile Robotic Assistant for the Elderly | 2002 | 173 |
| 3 | 2015 | 171 | |
| 4 | 2020 | 90 | |
| 5 | Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. | 2003 | 69 |
| 6 | 2022 | 39 | |
| 7 | 2016 | 36 | |
| 8 | A novel algorithm for scalable and accurate Bayesian network learning. | 2004 | 29 |
| 9 | An Introduction to k-Means Clustering | 2016 | 23 |
| 10 | Alfred: The Robot Waiter Who Remembers You | 1999 | 20 |
| 11 | Bounding the false discovery rate in local Bayesian network learning | 2008 | 18 |
| 12 | A comparison of novel and state-of-the-art polynomial Bayesian network learning algorithms | 2005 | 16 |
| 13 | Generating realistic large bayesian networks by tiling | 2006 | 13 |
| 14 | Comparing decision support methodologies for identifying asthma exacerbations. | 2007 | 13 |
| 15 | 2019 | 12 | |
| 16 | 2015 | 11 | |
| 17 | Scaling-Up Bayesian Network Learning to Thousands of Variables Using Local Learning Techniques | 2003 | 10 |
| 18 | 2019 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2019 | 7 |
About Laura E. Brown
Laura E. Brown is a scholar working on Computer Science Applications, Architecture, Artificial Intelligence, Software and Media Technology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Teaching and Learning Programming (5 papers), Data Quality and Management (3 papers), Machine Learning and Algorithms (3 papers), Energy Load and Power Forecasting (3 papers), Smart Grid Energy Management (3 papers), Smart Grid Security and Resilience (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Management Science and Operations Research (226 citations), Statistics and Probability (125 citations), Control and Systems Engineering (269 citations) and Computational Theory and Mathematics (173 citations). Laura E. Brown has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Ioannis Tsamardinos, Constantin Aliferis, Gordon G. Parker, Wayne W. Weaver, Lynn Mazzoleni, Simeon Schum, Alexander Statnikov, Martha E. Pollack, Judith T. Matthews and Dirk Colbry. Their work appears in journals such as Machine Learning, Engineering Applications of Artificial Intelligence, Renewable Energy, Fire and IEEE Transactions on Industry Applications.
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.