Pedro Sánchez-Algarra

699 total citations
9 papers, 453 citations indexed

About

Pedro Sánchez-Algarra is a scholar working on Orthopedics and Sports Medicine, General Health Professions and Statistics, Probability and Uncertainty. According to data from OpenAlex, Pedro Sánchez-Algarra has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Orthopedics and Sports Medicine, 2 papers in General Health Professions and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Pedro Sánchez-Algarra's work include Sports Performance and Training (3 papers), Meta-analysis and systematic reviews (2 papers) and Sustainable Development and Environmental Policy (1 paper). Pedro Sánchez-Algarra is often cited by papers focused on Sports Performance and Training (3 papers), Meta-analysis and systematic reviews (2 papers) and Sustainable Development and Environmental Policy (1 paper). Pedro Sánchez-Algarra collaborates with scholars based in Spain, United States and South Africa. Pedro Sánchez-Algarra's co-authors include M. Teresa Anguera, Anthony J. Onwuegbuzie, Ángel Blanco-Villaseñor, José Luís Losada, Oleguer Camerino Foguet, Marta Castañer Balcells, Jorge Campaniço, Magnús S. Magnússon, Guðberg K. Jónsson and Carlota Torrents and has published in prestigious journals such as Frontiers in Psychology, Quality & Quantity and The Open Sports Sciences Journal.

In The Last Decade

Pedro Sánchez-Algarra

9 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Sánchez-Algarra Spain 7 117 109 77 74 71 9 453
Jeffrey Petersen United States 13 76 0.6× 72 0.7× 71 0.9× 106 1.4× 54 0.8× 51 431
Ángel Blanco-Villaseñor Spain 11 234 2.0× 441 4.0× 100 1.3× 75 1.0× 159 2.2× 25 787
Ángel Blanco Villaseñor Spain 11 210 1.8× 320 2.9× 99 1.3× 100 1.4× 141 2.0× 30 624
Marta García Tascón Spain 10 33 0.3× 30 0.3× 40 0.5× 70 0.9× 27 0.4× 43 315
Hagen Wäsche Germany 17 122 1.0× 190 1.7× 24 0.3× 153 2.1× 185 2.6× 60 917
David M. Paskevich Canada 10 168 1.4× 69 0.6× 13 0.2× 211 2.9× 32 0.5× 18 413
Kimberly S. Maier United States 12 180 1.5× 22 0.2× 254 3.3× 193 2.6× 28 0.4× 29 680
Sarah McCord United States 9 323 2.8× 180 1.7× 26 0.3× 220 3.0× 60 0.8× 19 559
José Luís Losada Spain 18 262 2.2× 575 5.3× 105 1.4× 101 1.4× 360 5.1× 52 1.0k
Andrew J. Martin New Zealand 20 145 1.2× 176 1.6× 261 3.4× 297 4.0× 26 0.4× 68 968

Countries citing papers authored by Pedro Sánchez-Algarra

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Sánchez-Algarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Sánchez-Algarra. 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 Pedro Sánchez-Algarra. The network helps show where Pedro Sánchez-Algarra may publish in the future.

Co-authorship network of co-authors of Pedro Sánchez-Algarra

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

All Works

9 of 9 papers shown
1.
Anguera, M. Teresa, et al.. (2020). Integración de elementos cualitativos y cuantitativos en metodología observacional.. Ámbitos Revista Internacional de Comunicación. 49–70. 24 indexed citations
2.
Anguera, M. Teresa, Ángel Blanco-Villaseñor, José Luís Losada, Pedro Sánchez-Algarra, & Anthony J. Onwuegbuzie. (2018). Revisiting the difference between mixed methods and multimethods: Is it all in the name?. Quality & Quantity. 52(6). 2757–2770. 182 indexed citations
3.
Anguera, M. Teresa, Oleguer Camerino Foguet, Marta Castañer Balcells, Pedro Sánchez-Algarra, & Anthony J. Onwuegbuzie. (2017). The Specificity of Observational Studies in Physical Activity and Sports Sciences: Moving Forward in Mixed Methods Research and Proposals for Achieving Quantitative and Qualitative Symmetry. Frontiers in Psychology. 8. 2196–2196. 107 indexed citations
4.
Balcells, Marta Castañer, et al.. (2015). Percepción de la intensidad al esfuerzo: un estudio multi-method en actividad física. Cuadernos de Psicología del Deporte. 15(1). 83–88. 10 indexed citations
5.
Jónsson, Guðberg K., M. Teresa Anguera, Pedro Sánchez-Algarra, et al.. (2014). Application of T-Pattern Detection and Analysis in Sports Research. The Open Sports Sciences Journal. 3(1). 95–104. 29 indexed citations
6.
Sánchez-Algarra, Pedro & M. Teresa Anguera. (2012). Qualitative/quantitative integration in the inductive observational study of interactive behaviour: impact of recording and coding among predominating perspectives. Quality & Quantity. 47(2). 1237–1257. 90 indexed citations
7.
Morales‐Sánchez, Verónica, et al.. (2007). Random PERT: application to physical activity/sports programs. Quality & Quantity. 43(2). 225–236. 3 indexed citations
8.
Sánchez-Algarra, Pedro, et al.. (2005). Time Management in the Cost Evaluation of Limited Resource Programs. Quality & Quantity. 39(4). 391–411. 6 indexed citations
9.
Sánchez-Algarra, Pedro, et al.. (1997). The collapsibility theorem in log-linear analysis of categorical data: an application in program evaluation. Quality & Quantity. 31(2). 199–206. 2 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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