Nancy L. Garcia

57 papers and 432 indexed citations i.

About

Nancy L. Garcia is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Nancy L. Garcia has authored 57 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 16 papers in Mathematical Physics and 11 papers in Artificial Intelligence. Recurrent topics in Nancy L. Garcia’s work include Stochastic processes and statistical mechanics (15 papers), Markov Chains and Monte Carlo Methods (8 papers) and Bayesian Methods and Mixture Models (8 papers). Nancy L. Garcia is often cited by papers focused on Stochastic processes and statistical mechanics (15 papers), Markov Chains and Monte Carlo Methods (8 papers) and Bayesian Methods and Mixture Models (8 papers). Nancy L. Garcia collaborates with scholars based in Brazil, United States and France. Nancy L. Garcia's co-authors include Pablo A. Ferrari, Roberto Fernández, Jacqueline Fleming, José Luis Palacios, Ronaldo Dias, Maria Luiza S. Mello, Antonio Galves, Emiliano J. de Pedro Sanz, César Hervás‐Martínez and Florencia Leonardi and has published in prestigious journals such as Technometrics, Journal of Econometrics and Journal of Solid State Chemistry.

In The Last Decade

Co-authorship network of co-authors of Nancy L. Garcia i

Fields of papers citing papers by Nancy L. Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy L. Garcia. 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 Nancy L. Garcia. The network helps show where Nancy L. Garcia may publish in the future.

Countries citing papers authored by Nancy L. Garcia

Since Specialization
Citations

This map shows the geographic impact of Nancy L. Garcia'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 Nancy L. Garcia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy L. Garcia 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.

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2025