Jesús E. Garćıa

426 citations
44 papers · 194 indexed · h-index 8

Jesús E. Garćıa

36 papers receiving 185 citations

Peers

Jesús E. Garćıa
Comparison fields: 5 of 66
  • Linguistics and Language 15
  • Statistics and Probability 27
  • Artificial Intelligence 90
  • Experimental and Cognitive Psychology 32
  • Modeling and Simulation 11
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Countries citing papers authored by Jesús E. Garćıa

Since Specialization
Citations

This map shows the geographic impact of Jesús E. Garćıa'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 Jesús E. Garćıa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús E. Garćıa more than expected).

Fields of papers citing papers by Jesús E. Garćıa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesús E. Garćıa. 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 Jesús E. Garćıa. The network helps show where Jesús E. Garćıa may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Jesús E. Garćıa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jesús E. Garćıa Line = papers co-authored together Jesús E. Garćıa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20241
4 20230
5 20221
6
Toma de decisiones gerenciales en Pymes de construcción del distrito especial turístico y cultural de Riohacha
20201
7
Indicadores de Eficacia y Eficiencia en la gestión de procura de materiales en empresas del sector construcción del Departamento del Atlántico, Colombia
20195
8
Dirección estratégica del talento humano para el fomento de valores en los cuerpos policiales venezolanos
20177
9 20172
10
Generalization of the Canonical Correlation Method Applied to an Economy Problem (Generalización Del Método De Correlaciones Canónicas Aplicado a Un Problema De Economía)
20162
11 20161
12 20161
13
Análisis de componentes principales funcionales en series de tiempo económicas
20153
14 20150
15
UTILIZACIÓN COMBINADA DE MÉTODOS EXPLORATORIOS Y CONFIRMATORIOS PARA EL ANÁLISIS DE LA ACTIVIDAD ANTIBACTERIANA DE LA CEFALOSPORINA (PARTE II).
20141
16 201413
17 201211
18 20124
19 20022
20 200233

About Jesús E. Garćıa

Jesús E. Garćıa is a scholar working on Statistics and Probability, Signal Processing and Artificial Intelligence, having authored 44 papers that have together received 194 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (12 papers), Algorithms and Data Compression (8 papers), Random Matrices and Applications (4 papers), Fractal and DNA sequence analysis (4 papers), Speech Recognition and Synthesis (4 papers), Complex Systems and Time Series Analysis (4 papers), Financial Risk and Volatility Modeling (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Linguistics and Language (15 citations), Statistics and Probability (27 citations) and Artificial Intelligence (90 citations). Jesús E. Garćıa has collaborated with scholars based in Brazil, United States and Mexico. Frequent co-authors include Antonio Galves, Charlotte Galves, Denise Helena Silva Duarte, Nancy L. Garcia, Roger B. Nelsen, Florencia Leonardi, Sonia Ethel Durán, Ricardo Fraiman, Marcela Svarc and Juan A. Cuesta‐Albertos. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Electronic Materials.

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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