Laura E. Brown

21 papers and 1.3k indexed citations i.

About

Laura E. Brown is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Laura E. Brown has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 4 papers in Information Systems. Recurrent topics in Laura E. Brown’s work include Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Algorithms (3 papers) and Rough Sets and Fuzzy Logic (2 papers). Laura E. Brown is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Algorithms (3 papers) and Rough Sets and Fuzzy Logic (2 papers). Laura E. Brown collaborates with scholars based in United States, Canada and Greece. Laura E. Brown's co-authors include Ioannis Tsamardinos, Constantin Aliferis, Wayne W. Weaver, Gordon G. Parker, Lynn Mazzoleni, Simeon Schum, Joshua M. Pearce, Aliaksei Petsiuk, Alexander Statnikov and Judith W. Dexheimer and has published in prestigious journals such as Renewable Energy, Environmental Research and IEEE Transactions on Industry Applications.

In The Last Decade

Co-authorship network of co-authors of Laura E. Brown i

Fields of papers citing papers by Laura E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Laura E. Brown

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025