Rodrigo Salas

168 total papers · 1.6k total citations
86 papers, 881 citations indexed

About

Rodrigo Salas is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Management Science and Operations Research. According to data from OpenAlex, Rodrigo Salas has authored 86 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Management Science and Operations Research. Recurrent topics in Rodrigo Salas's work include Neural Networks and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Fuzzy Logic and Control Systems (6 papers). Rodrigo Salas is often cited by papers focused on Neural Networks and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Fuzzy Logic and Control Systems (6 papers). Rodrigo Salas collaborates with scholars based in Chile, Germany and Brazil. Rodrigo Salas's co-authors include Romina Torres, Héctor Allende‐Cid, Hernán Astudillo, Stéren Chabert, Héctor Allende, Javier Linkolk López‐Gonzales, Paulo Canas Rodrigues, Claudio Moraga, Luis Sobrevía and Fabián Pardo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Rodrigo Salas

74 papers receiving 850 citations

Author Peers

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

Author Last Decade Papers Cites
Rodrigo Salas 226 141 136 112 102 86 881
Sanjiban Sekhar Roy 188 0.8× 193 1.4× 132 1.0× 64 0.6× 61 0.6× 57 851
Peerapon Vateekul 358 1.6× 96 0.7× 114 0.8× 88 0.8× 81 0.8× 105 1.0k
Nonita Sharma 302 1.3× 124 0.9× 52 0.4× 151 1.3× 119 1.2× 98 911
Roberto Corizzo 430 1.9× 175 1.2× 156 1.1× 73 0.7× 48 0.5× 61 956
Qi Zhang 217 1.0× 62 0.4× 122 0.9× 56 0.5× 104 1.0× 122 985
Weiqi Chen 237 1.0× 123 0.9× 144 1.1× 126 1.1× 27 0.3× 37 953
Yaya Heryadi 304 1.3× 154 1.1× 184 1.4× 63 0.6× 212 2.1× 127 1.0k
Nejat Yumuşak 371 1.6× 267 1.9× 39 0.3× 130 1.2× 78 0.8× 56 998
Amelia Ritahani Ismail 217 1.0× 82 0.6× 37 0.3× 106 0.9× 136 1.3× 74 768
Nasir Ahmad 278 1.2× 80 0.6× 52 0.4× 55 0.5× 99 1.0× 59 1.0k

Countries citing papers authored by Rodrigo Salas

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Salas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Salas

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Salas. A scholar is included among the top collaborators of Rodrigo Salas 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 Rodrigo Salas. Rodrigo Salas 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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