Nancy L. Garcia
- Statistics and Probability top 5%
- Statistical Methods and Inference 9
- Markov Chains and Monte Carlo Methods 6
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics 11
- Applied Mathematics top 10%
- Insect Science top 10%
- Insect and Pesticide Research 4
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- Bayesian Methods and Mixture Models 7
- Algorithms and Data Compression 5
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- Insect Pest Control Strategies 6
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- Physiological and biochemical adaptations 4
- Co-authors
- Jacqueline FlemingPablo A. FerrariMaria Luiza S. MelloJosé Luis PalaciosRoberto FernándezAntonio GalvesCésar Hervás‐MartínezEmiliano J. de Pedro Sanz
- Journals
- Technometrics (1 paper)Journal of Econometrics (1 paper)Journal of Statistical Software (1 paper)
- Partner nations
- BrazilUnited StatesVenezuela
In The Last Decade
Nancy L. Garcia
47 papers receiving 375 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 104
- Mathematical Physics 87
- Applied Mathematics 40
- Insect Science 47
- Analytical Chemistry 28
Countries citing papers authored by Nancy L. Garcia
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).
Fields of papers citing papers by Nancy L. Garcia
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.
Co-authorship network
The 25 scholars most cited alongside Nancy L. Garcia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | mrf2d: Markov random field image models in R | 2020 | 0 |
| 4 | 2015 | 2 | |
| 5 | 2014 | 6 | |
| 6 | 2013 | 3 | |
| 7 | A general context-tree-based approach to perfect simulation for chains of infinite order | 2011 | 1 |
| 8 | 2011 | 13 | |
| 9 | 2007 | 0 | |
| 10 | 2006 | 2 | |
| 11 | 2006 | 1 | |
| 12 | 2005 | 3 | |
| 13 | 2003 | 7 | |
| 14 | 2002 | 49 | |
| 15 | 2001 | 8 | |
| 16 | 2001 | 12 | |
| 17 | 2001 | 14 | |
| 18 | 2001 | 1 | |
| 19 | Perfect simulation of spatial processes | 2000 | 6 |
| 20 | 1999 | 15 |
About Nancy L. Garcia
Nancy L. Garcia is a scholar working on Statistics and Probability, Mathematical Physics and Statistics, Probability and Uncertainty, having authored 53 papers that have together received 409 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (7 papers), Insect Pest Control Strategies (6 papers), Markov Chains and Monte Carlo Methods (6 papers), Algorithms and Data Compression (5 papers), Insect and Pesticide Research (4 papers) and Physiological and biochemical adaptations (4 papers). The work is most often cited by research in Statistics and Probability (104 citations), Mathematical Physics (87 citations) and Applied Mathematics (40 citations). Nancy L. Garcia has collaborated with scholars based in Brazil, United States and Venezuela. Frequent co-authors include Jacqueline Fleming, Pablo A. Ferrari, Maria Luiza S. Mello, José Luis Palacios, Roberto Fernández, Antonio Galves, César Hervás‐Martínez, Emiliano J. de Pedro Sanz, Klaus L. P. Vasconcellos and Tiffany L. Kinnibrugh. Their work appears in journals such as Technometrics, Journal of Econometrics and Journal of Statistical Software.
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.