Laura E. Brown
Impact in
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
-
- Data Quality and Management
Papers in
-
- Bayesian Modeling and Causal Inference 9
- Machine Learning and Algorithms 3
- Stochastic Gradient Optimization Techniques 2
-
- Smart Grid Energy Management 3
- Energy Load and Power Forecasting 3
- Co-authors
- Ioannis Tsamardinos (8 shared papers)Constantin Aliferis (5 shared papers)Wayne W. Weaver (1 shared paper)Gordon G. Parker (1 shared paper)Simeon Schum (1 shared paper)Lynn Mazzoleni (1 shared paper)Alexander Statnikov (2 shared papers)Sebastian Thrun (1 shared paper)
- Journals
- Machine Learning (2 papers)Engineering Applications of Artificial Intelligence (1 paper)IEEE Transactions on Industry Applications (1 paper)Fire (1 paper)Environmental Research (1 paper)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Laura E. Brown
35 papers receiving 1.8k citations
Laura E. Brown's Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 997
- Management Science and Operations Research 229
- Statistics and Probability 117
- Control and Systems Engineering 271
- Computational Theory and Mathematics 172
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 40 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 | 1081 |
| 2 | Pearl: A Mobile Robotic Assistant for the Elderly | 2002 | 173 |
| 3 | 2015 | 173 | |
| 4 | 2020 | 99 | |
| 5 | Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. | 2003 | 69 |
| 6 | 2022 | 45 | |
| 7 | 2016 | 36 | |
| 8 | A novel algorithm for scalable and accurate Bayesian network learning. | 2004 | 28 |
| 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 | 17 |
| 13 | Comparing decision support methodologies for identifying asthma exacerbations. | 2007 | 13 |
| 14 | Generating realistic large bayesian networks by tiling | 2006 | 13 |
| 15 | 2019 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2019 | 7 | |
| 20 | 2013 | 7 |
About Laura E. Brown
Laura E. Brown is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Information Systems and Computer Science Applications, having authored 40 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), Smart Grid Energy Management (3 papers), Energy Load and Power Forecasting (3 papers), Machine Learning and Algorithms (3 papers), Engineering Education and Curriculum Development (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (997 citations), Management Science and Operations Research (229 citations), Statistics and Probability (117 citations), Control and Systems Engineering (271 citations) and Computational Theory and Mathematics (172 citations). Laura E. Brown has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Ioannis Tsamardinos, Constantin Aliferis, Wayne W. Weaver, Gordon G. Parker, Simeon Schum, Lynn Mazzoleni, Alexander Statnikov, Sebastian Thrun, Martha E. Pollack and Dirk Colbry. Their work appears in journals such as Machine Learning, Engineering Applications of Artificial Intelligence, IEEE Transactions on Industry Applications, Fire and Environmental Research.
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.