R. Padilla

36 total papers · 2.2k total citations
18 papers, 1.4k citations indexed

About

R. Padilla is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Padilla has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Padilla's work include Control Systems and Identification (5 papers), Advanced Control Systems Optimization (4 papers) and Fault Detection and Control Systems (4 papers). R. Padilla is often cited by papers focused on Control Systems and Identification (5 papers), Advanced Control Systems Optimization (4 papers) and Fault Detection and Control Systems (4 papers). R. Padilla collaborates with scholars based in Venezuela, Brazil and United States. R. Padilla's co-authors include Sérgio L. Netto, Eduardo A. B. da Silva, Wesley L. Passos, Rodolfo Milito, Cícero Ferreira Fernandes Costa Filho, M. G. F. Costa, A. Haddad, J.B. Cruz, S. Bingulac and Marcello L. R. de Campos and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Petroleum Science and Engineering and International Journal of Control.

In The Last Decade

R. Padilla

16 papers receiving 1.3k citations

Hit Papers

A Survey on Performance M... 2020 2026 2022 2024 2020 2021 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R. Padilla 590 206 145 142 118 18 1.4k
Fangyao Liu 572 1.0× 151 0.7× 210 1.4× 188 1.3× 54 0.5× 18 1.5k
Peiyuan Jiang 532 0.9× 131 0.6× 207 1.4× 212 1.5× 53 0.4× 11 1.6k
Ying Cai 685 1.2× 167 0.8× 219 1.5× 221 1.6× 56 0.5× 37 1.6k
Arunabha M. Roy 311 0.5× 174 0.8× 116 0.8× 174 1.2× 83 0.7× 32 1.5k
Tian-Xing Xu 687 1.2× 336 1.6× 100 0.7× 80 0.6× 78 0.7× 12 1.5k
Juan Terven 532 0.9× 116 0.6× 163 1.1× 184 1.3× 54 0.5× 35 1.4k
Weipeng Zhuo 601 1.0× 121 0.6× 221 1.5× 188 1.3× 41 0.3× 11 1.2k
Ard Oerlemans 688 1.2× 512 2.5× 92 0.6× 125 0.9× 82 0.7× 12 1.8k
Muhammad Hussain 455 0.8× 194 0.9× 301 2.1× 119 0.8× 54 0.5× 39 1.3k
Diana‐Margarita Córdova‐Esparza 511 0.9× 105 0.5× 160 1.1× 180 1.3× 48 0.4× 40 1.3k

Countries citing papers authored by R. Padilla

Since Specialization
Citations

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

Fields of papers citing papers by R. Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Padilla. 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 R. Padilla. The network helps show where R. Padilla may publish in the future.

Co-authorship network of co-authors of R. Padilla

This figure shows the co-authorship network connecting the top 25 collaborators of R. Padilla. A scholar is included among the top collaborators of R. Padilla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. Padilla. R. Padilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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