Laura E. Brown
Impact in
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
-
- Microgrid Control and Optimization
- Robotics and Automated Systems
Papers in
-
- Teaching and Learning Programming 7
-
- Bayesian Modeling and Causal Inference 8
- Solar Radiation and Photovoltaics 2
- Co-authors
- Ioannis Tsamardinos (8 shared papers)Constantin Aliferis (5 shared papers)Gordon G. Parker (1 shared paper)Wayne W. Weaver (1 shared paper)Lynn Rebecca 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)Environmental Research (1 paper)IEEE Transactions on Industry Applications (1 paper)IEEE Transactions on Transportation Electrification (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- United StatesGreeceCanada
In The Last Decade
Laura E. Brown
34 papers receiving 2.1k citations
Laura E. Brown's Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.1k
- Control and Systems Engineering 201
- Statistics and Probability 87
- Health Information Management 59
- Social Psychology 147
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 39 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 | 1275 |
| 2 | Pearl: A Mobile Robotic Assistant for the Elderly | 2002 | 209 |
| 3 | 2015 | 193 | |
| 4 | 2020 | 107 | |
| 5 | Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. | 2003 | 77 |
| 6 | 2016 | 40 | |
| 7 | A novel algorithm for scalable and accurate Bayesian network learning. | 2004 | 35 |
| 8 | An Introduction to k-Means Clustering | 2016 | 24 |
| 9 | Bounding the false discovery rate in local Bayesian network learning | 2008 | 21 |
| 10 | A comparison of novel and state-of-the-art polynomial Bayesian network learning algorithms | 2005 | 20 |
| 11 | Alfred: The Robot Waiter Who Remembers You | 1999 | 19 |
| 12 | Generating realistic large bayesian networks by tiling | 2006 | 17 |
| 13 | Comparing decision support methodologies for identifying asthma exacerbations. | 2007 | 15 |
| 14 | 2019 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2015 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2013 | 9 |
About Laura E. Brown
Laura E. Brown is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Hardware and Architecture and Health Information Management, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Teaching and Learning Programming (7 papers), Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (3 papers), Solar Radiation and Photovoltaics (2 papers), Artificial Intelligence in Healthcare (2 papers), Career Development and Diversity (2 papers) and Social Robot Interaction and HRI (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Control and Systems Engineering (201 citations), Statistics and Probability (87 citations), Health Information Management (59 citations) and Social Psychology (147 citations). Laura E. Brown has collaborated with scholars based in United States, Greece and Canada. Frequent co-authors include Ioannis Tsamardinos, Constantin Aliferis, Gordon G. Parker, Wayne W. Weaver, Lynn Rebecca Mazzoleni, Simeon Schum, Alexander Statnikov, Martha E. Pollack, Nicholas Roy and Dirk Colbry. Their work appears in journals such as Machine Learning, Environmental Research, IEEE Transactions on Industry Applications, IEEE Transactions on Transportation Electrification and Engineering Applications of Artificial Intelligence.
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.