Flor Sánchez

1.3k total citations
53 papers, 934 citations indexed

About

Flor Sánchez is a scholar working on Social Psychology, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Flor Sánchez has authored 53 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Social Psychology, 15 papers in Sociology and Political Science and 14 papers in Clinical Psychology. Recurrent topics in Flor Sánchez's work include Deception detection and forensic psychology (9 papers), Behavioral Health and Interventions (7 papers) and Misinformation and Its Impacts (5 papers). Flor Sánchez is often cited by papers focused on Deception detection and forensic psychology (9 papers), Behavioral Health and Interventions (7 papers) and Misinformation and Its Impacts (5 papers). Flor Sánchez collaborates with scholars based in Spain, United States and United Kingdom. Flor Sánchez's co-authors include Darío Páez, Pilar Carrera, Dolores Muñoz, Amparo Caballero, José Miguel Fernández Dols, A. J. Kinloch, B.R.K. Blackman, Sônia Maria Guedes Gondim, Silvia da Costa and Wern Sze Teo and has published in prestigious journals such as Psychological Bulletin, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Flor Sánchez

48 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flor Sánchez Spain 14 241 177 157 132 120 53 934
Michael Daniels United States 18 421 1.7× 79 0.4× 415 2.6× 171 1.3× 94 0.8× 66 1.4k
Monika Henderson United Kingdom 21 472 2.0× 183 1.0× 482 3.1× 191 1.4× 46 0.4× 47 1.7k
James Tyler United States 17 344 1.4× 156 0.9× 285 1.8× 20 0.2× 81 0.7× 63 935
Minghui Lu China 15 157 0.7× 40 0.2× 202 1.3× 52 0.4× 234 1.9× 51 874
Mikyoung Lee South Korea 17 164 0.7× 53 0.3× 150 1.0× 68 0.5× 100 0.8× 100 937
Shi Yu China 11 395 1.6× 140 0.8× 111 0.7× 21 0.2× 155 1.3× 50 728
Huadong Yang China 17 238 1.0× 50 0.3× 200 1.3× 15 0.1× 181 1.5× 58 1.1k
Shu‐wen Wang China 14 159 0.7× 40 0.2× 106 0.7× 43 0.3× 86 0.7× 42 516
Christopher Boyle United Kingdom 27 159 0.7× 96 0.5× 485 3.1× 26 0.2× 901 7.5× 102 1.9k
Stuti Shukla India 5 426 1.8× 108 0.6× 128 0.8× 9 0.1× 165 1.4× 11 1.0k

Countries citing papers authored by Flor Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Flor Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flor Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Flor Sánchez. A scholar is included among the top collaborators of Flor Sánchez 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 Flor Sánchez. Flor Sánchez 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.
Sánchez, Flor, et al.. (2024). Psychosocial factors that favor citizen participation in the generation of scientific knowledge. Scientometrics. 1 indexed citations
2.
Durantini, Marta R., et al.. (2024). A systematic review and meta-analysis of strategies to promote vaccination uptake. Nature Human Behaviour. 8(9). 1689–1705. 8 indexed citations
3.
Sánchez, Flor, Fernando Casani Fernández de Navarrete, & Ricardo Olmos. (2024). Public Perception of Citizen Science in Spain: Sociodemographic Analysis. Revista española de Documentación Científica. 47(3). e392–e392. 1 indexed citations
4.
Filippo, Daniela De, María Luisa Lascurain-Sánchez, & Flor Sánchez. (2023). Mapping open science at Spanish universities. Analysis of higher education systems. El Profesional de la Informacion. 2 indexed citations
5.
Sánchez, Flor, Daniela De Filippo, Amalio Blanco, & María Luisa Lascurain-Sánchez. (2022). Contribution of Social Psychology Research to the Sustainable Development Goals (SDGs). Bibliometric and Content Analysis of Spanish Publications. The Spanish Journal of Psychology. 25. e22–e22. 2 indexed citations
6.
7.
Sánchez, Flor, et al.. (2021). Effects of a community resilience intervention program on victims of forced displacement: A case study. Journal of Community Psychology. 49(6). 1630–1647. 4 indexed citations
8.
Costa, Silvia da, et al.. (2016). Percepción de innovación en las organizaciones. Percepción de innovación en organizaciones de España y Latinoamérica. Universitas Psychologica. 15(4). 6 indexed citations
9.
Sánchez, Flor, et al.. (2015). Autodiálogos y rendimiento académico en estudiantes universitarios. Anales de Psicología. 32(1). 139–139. 11 indexed citations
10.
Costa, Silvia da, Darío Páez, Flor Sánchez, Sônia Maria Guedes Gondim, & Marta Rodríguez. (2014). Factores favorables a la innovación en las organizaciones: una integración de meta-análisis. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Costa, Silvia da, et al.. (2014). Factors favoring innovation in organizations: An integration of meta-analyses. Journal of Work and Organizational Psychology. 30(2). 67–74. 17 indexed citations
12.
Wilson, Kristina, İbrahim Şenay, Marta R. Durantini, et al.. (2014). When it comes to lifestyle recommendations, more is sometimes less: A meta-analysis of theoretical assumptions underlying the effectiveness of interventions promoting multiple behavior domain change.. Psychological Bulletin. 141(2). 474–509. 96 indexed citations
13.
Navarrete, Fernando Casani Fernández de, Jesús Rodríguez Pomeda, & Flor Sánchez. (2012). Los nuevos modelos de negocio en la economía creativa: Emociones y redes sociales. Universia business review. 1(33). 48–69. 5 indexed citations
14.
Caballero, Amparo, et al.. (2009). Incidencia de la mentira en la confianza y la cooperación en el ámbito laboral. Revista Latinoamericana de Psicología. 41(2). 213–224. 7 indexed citations
15.
Caballero, Amparo, Pilar Carrera, Dolores Muñoz, & Flor Sánchez. (2007). Emotional Ambivalence in Risk Behaviors: The Case of Occasional Excessive Use of Alcohol. The Spanish Journal of Psychology. 10(1). 151–158. 15 indexed citations
16.
Carrera, Pilar, Amparo Caballero, Flor Sánchez, & Amalio Blanco. (2005). Emociones mixtas y conducta de riesgo. Revista Latinoamericana de Psicología. 37(1). 119–130. 6 indexed citations
17.
Caballero, Amparo, Pilar Carrera, Flor Sánchez, Dolores Muñoz, & Amalio Blanco. (2003). La experiencia emocional como predictor de los comportamientos de riesgo. Psicothema. 15(3). 427–432. 14 indexed citations
18.
Fernández, Itziar, et al.. (2000). Differences between cultures in emotional verbal and non-verbal reactions1. Psicothema. 12(1). 83–92. 91 indexed citations
19.
Caballero, Amparo, Flor Sánchez, & Alberto Becerra. (2000). Conocimiento social de la mentira y credibilidad. Psicothema. 12(2). 236–240. 46 indexed citations
20.
Sánchez, Flor, et al.. (1995). Validez empírica del concepto de prototipicidad en el estudio de la detección de la mentira. Psicothema. 7(3). 531–541. 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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