Eva Parrado

549 total citations
33 papers, 378 citations indexed

About

Eva Parrado is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Eva Parrado has authored 33 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 12 papers in Complementary and alternative medicine and 9 papers in Physiology. Recurrent topics in Eva Parrado's work include Heart Rate Variability and Autonomic Control (15 papers), Cardiovascular and exercise physiology (12 papers) and Physical Activity and Health (9 papers). Eva Parrado is often cited by papers focused on Heart Rate Variability and Autonomic Control (15 papers), Cardiovascular and exercise physiology (12 papers) and Physical Activity and Health (9 papers). Eva Parrado collaborates with scholars based in Spain, Chile and United Kingdom. Eva Parrado's co-authors include Lluís Capdevila, Gil Rodas, J. Ramos-Castro, Jaume F. Lalanza, Josep-María Losilla, Antoni Castelló, Rafael Zapata‐Lamana, Ramón Cladellas, Antoni Sanz and Anna Muro and has published in prestigious journals such as Scientific Reports, Addiction and Scandinavian Journal of Medicine and Science in Sports.

In The Last Decade

Eva Parrado

31 papers receiving 367 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Parrado Spain 12 149 81 79 74 72 33 378
Benjamin A. Hives Canada 10 112 0.8× 55 0.7× 40 0.5× 64 0.9× 45 0.6× 17 351
Aldo Seffrin Brazil 9 47 0.3× 64 0.8× 25 0.3× 53 0.7× 64 0.9× 41 426
Heidi Salisbury United States 3 353 2.4× 72 0.9× 195 2.5× 65 0.9× 15 0.2× 3 594
Teresa K. Snow United States 16 78 0.5× 77 1.0× 77 1.0× 48 0.6× 62 0.9× 42 801
Caroline Stordal Christiansen Denmark 8 28 0.2× 40 0.5× 40 0.5× 91 1.2× 170 2.4× 8 498
Gabriel A. Koepp United States 13 79 0.5× 81 1.0× 27 0.3× 178 2.4× 148 2.1× 19 665
Lars-Kristian Lunde Norway 13 37 0.2× 18 0.2× 47 0.6× 166 2.2× 149 2.1× 32 575
Jeanne D. Johnston United States 9 162 1.1× 132 1.6× 14 0.2× 72 1.0× 26 0.4× 22 586
Elżbieta Gadzicka Poland 16 88 0.6× 13 0.2× 121 1.5× 48 0.6× 31 0.4× 47 610
Rebecca Sealey Australia 10 26 0.2× 65 0.8× 47 0.6× 39 0.5× 39 0.5× 43 402

Countries citing papers authored by Eva Parrado

Since Specialization
Citations

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

Fields of papers citing papers by Eva Parrado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Parrado

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Parrado. A scholar is included among the top collaborators of Eva Parrado 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 Eva Parrado. Eva Parrado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Muro, Anna, et al.. (2023). Forest bathing and hiking benefits for mental health during the COVID-19 pandemic in Mediterranean regions. European Journal of Forest Research. 142(2). 415–426. 24 indexed citations
2.
3.
Zapata‐Lamana, Rafael, et al.. (2022). Adherence characteristics and reasons for abandonment of physical exercise-based interventionsin older adults in Latin America: A scoping review. Retos: nuevas tendencias en educación física, deporte y recreación. 10–26. 1 indexed citations
4.
García-González, Miguel A., et al.. (2022). Agreement between two photoplethysmography-based wearable devices for monitoring heart rate during different physical activity situations: a new analysis methodology. Scientific Reports. 12(1). 15448–15448. 11 indexed citations
5.
6.
Parrado, Eva, et al.. (2021). Niveles de estrés-recuperación en esquiadoras de alto rendimiento. Dialnet (Universidad de la Rioja). 595–603. 1 indexed citations
7.
Capdevila, Lluís, Eva Parrado, J. Ramos-Castro, Rafael Zapata‐Lamana, & Jaume F. Lalanza. (2021). Resonance frequency is not always stable over time and could be related to the inter-beat interval. Scientific Reports. 11(1). 8400–8400. 11 indexed citations
8.
Parrado, Eva, et al.. (2021). Health outcomes of occupational stress in passionate musicians. Ansiedad y Estrés. 27(1). 47–56. 1 indexed citations
9.
Zapata‐Lamana, Rafael, Jaume F. Lalanza, Josep-María Losilla, Eva Parrado, & Lluís Capdevila. (2020). mHealth technology for ecological momentary assessment in physical activity research: a systematic review. PeerJ. 8. e8848–e8848. 36 indexed citations
10.
Cladellas, Ramón, Antoni Castelló, & Eva Parrado. (2018). Satisfacción, salud y estrés laboral del profesorado universitario según su situación contractual. Revista de Salud Pública. 20(1). 53–59. 32 indexed citations
11.
García-González, Miguel A., Mireya Fernández-Chimeno, Federico Guede-Fernández, et al.. (2015). A methodology to quantify the differences between alternative methods of heart rate variability measurement. Physiological Measurement. 37(1). 128–144. 7 indexed citations
12.
Parrado, Eva, et al.. (2013). Variabilidad de la frecuencia cardíaca y perfiles psicofisiológicos en deportes de equipo de alto rendimiento. Revista de psicología del deporte. 22(2). 345–352. 13 indexed citations
13.
García-González, Miguel A., Mireya Fernández-Chimeno, Lluís Capdevila, Eva Parrado, & J. Ramos-Castro. (2013). An application of fractional differintegration to heart rate variability time series. Computer Methods and Programs in Biomedicine. 111(1). 33–40. 15 indexed citations
14.
Capdevila, Lluís, et al.. (2012). HRV based health&sport markers using video from the face. PubMed. 35. 5646–5649. 10 indexed citations
15.
Capdevila, Lluís, et al.. (2011). Estrategias de intervención para promocionar la actividad deportiva en la población universitaria femenina. Addiction. 2 indexed citations
16.
García-González, Miguel A., Mireya Fernández-Chimeno, Rosa M. Escorihuela, et al.. (2011). New indices for quantification of the power spectrum of heart rate variability time series without the need of any frequency band definition. Physiological Measurement. 32(8). 995–1009. 4 indexed citations
17.
Parrado, Eva, et al.. (2010). Comparison of Omega Wave System and Polar S810i to Detect R-R Intervals at Rest. International Journal of Sports Medicine. 31(5). 336–341. 34 indexed citations
18.
Parrado, Eva, et al.. (2009). Evaluación de la conducta activa: el Registro Semanal de Actividad Física (RSAF). Redalyc (Universidad Autónoma del Estado de México). 18(2). 197–216. 2 indexed citations
19.
Rodas, Gil, et al.. (2008). Heart rate variability as a health indicator in sports: validation with a health-related quality of life questionnaire (Short Form-12). 43(158). 62–69. 1 indexed citations
20.
Capdevila, Lluís, et al.. (2007). Exercise motivation in university community members. Psicothema. 19(2). 250–255. 3 indexed citations

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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