Catalina Torres

66 total papers · 506 total citations
16 papers, 157 citations indexed

About

Catalina Torres is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Catalina Torres has authored 16 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Modeling and Simulation. Recurrent topics in Catalina Torres's work include COVID-19 epidemiological studies (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Obesity, Physical Activity, Diet (2 papers). Catalina Torres is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Obesity, Physical Activity, Diet (2 papers). Catalina Torres collaborates with scholars based in France, United States and Colombia. Catalina Torres's co-authors include Jim Oeppen, Vladimir Canudas‐Romo, Juan Á. Rivera, Umberto Villa, Olga L. Sarmiento, Michael Pratt, Deborah Salvo, Rodrigo Siqueira Reis, Carlo Giovanni Camarda and Magali Barbiéri and has published in prestigious journals such as International Journal of Behavioral Nutrition and Physical Activity, Sleep Medicine and Scientific Data.

In The Last Decade

Catalina Torres

15 papers receiving 152 citations

Author Peers

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

Author Last Decade Papers Cites
Catalina Torres 67 46 32 27 21 16 157
Iago Giné-Vázquez 26 0.4× 25 0.5× 35 1.1× 27 1.0× 25 1.2× 16 224
Finaba Berete 58 0.9× 42 0.9× 17 0.5× 25 0.9× 27 1.3× 20 199
Lenka Tlučáková 23 0.3× 80 1.7× 83 2.6× 9 0.3× 13 0.6× 12 203
Alexandre da Silva 95 1.4× 19 0.4× 14 0.4× 63 2.3× 9 0.4× 15 259
Daniel Tzu-Hsuan Chen 37 0.6× 29 0.6× 76 2.4× 17 0.6× 17 0.8× 16 181
Tiziano Carradori 65 1.0× 28 0.6× 26 0.8× 5 0.2× 15 0.7× 20 229
Daniel A. Antiporta 93 1.4× 67 1.5× 7 0.2× 41 1.5× 5 0.2× 17 239
Melanie Tomintz 24 0.4× 30 0.7× 23 0.7× 65 2.4× 28 1.3× 21 220
Alessandra Sannella 39 0.6× 16 0.3× 14 0.4× 39 1.4× 8 0.4× 19 207
Anne Pasquereau 62 0.9× 58 1.3× 122 3.8× 17 0.6× 19 0.9× 27 257

Countries citing papers authored by Catalina Torres

Since Specialization
Citations

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

Fields of papers citing papers by Catalina Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catalina Torres

This figure shows the co-authorship network connecting the top 25 collaborators of Catalina Torres. A scholar is included among the top collaborators of Catalina Torres 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 Catalina Torres. Catalina Torres 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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2026