Paula Fernández

1.3k total citations
89 papers, 968 citations indexed

About

Paula Fernández is a scholar working on Statistics and Probability, Management Science and Operations Research and Clinical Psychology. According to data from OpenAlex, Paula Fernández has authored 89 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 20 papers in Management Science and Operations Research and 9 papers in Clinical Psychology. Recurrent topics in Paula Fernández's work include Advanced Statistical Methods and Models (20 papers), Optimal Experimental Design Methods (15 papers) and Statistical Methods and Applications (13 papers). Paula Fernández is often cited by papers focused on Advanced Statistical Methods and Models (20 papers), Optimal Experimental Design Methods (15 papers) and Statistical Methods and Applications (13 papers). Paula Fernández collaborates with scholars based in Spain, Chile and Portugal. Paula Fernández's co-authors include Guillermo Vallejo, Ana González Menéndez, Elena García-Vega, María Dolores Gutiérrez-Álvarez, Ellián Tuero Herrero, Domingo Blanco Gomis, Pilar Herrero, Fernando Moreno, Rafael Peláez and Marcelino Cuesta and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Chromatography A.

In The Last Decade

Paula Fernández

84 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paula Fernández Spain	19	230	165	107	105	104	89	968
Fetene Tekle Netherlands	15	145 0.6×	119 0.7×	97 0.9×	74 0.7×	40 0.4×	29	837
John T. Vessey United States	13	302 1.3×	101 0.6×	158 1.5×	34 0.3×	73 0.7×	21	1.3k
Robert M. Kirkpatrick United States	14	245 1.1×	66 0.4×	36 0.3×	90 0.9×	116 1.1×	34	1.3k
Elizabeth A. Sanders United States	28	148 0.6×	413 2.5×	50 0.5×	209 2.0×	137 1.3×	85	2.4k
Samiran Ghosh United States	17	124 0.5×	55 0.3×	96 0.9×	65 0.6×	117 1.1×	67	940
Daniel Kuang United States	6	133 0.6×	29 0.2×	87 0.8×	109 1.0×	49 0.5×	13	928
Kathryn Dawson United States	19	167 0.7×	52 0.3×	93 0.9×	81 0.8×	36 0.3×	36	1.6k
Daniel Bauer Switzerland	19	144 0.6×	115 0.7×	205 1.9×	18 0.2×	66 0.6×	60	1.1k
Stuart E. Wugalter United States	9	153 0.7×	154 0.9×	122 1.1×	10 0.1×	44 0.4×	9	1.0k

Countries citing papers authored by Paula Fernández

Since Specialization

Citations

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

Fields of papers citing papers by Paula Fernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Fernández

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

All Works

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20 of 20 papers shown

Pineda‐Pampliega, Javier, et al.. (2025). Effects of Postbiotic Administration on Canine Health: A Systematic Review and Meta-Analysis. Microorganisms. 13(7). 1572–1572.

Torres, M., et al.. (2024). Targeting the Notch-Furin axis with 2-hydroxyoleic acid: a key mechanism in glioblastoma therapy. Cellular Oncology. 48(2). 373–390. 1 indexed citations

Fernández, Paula, et al.. (2023). The Moderating Effect of Sex and Age on the Pattern of Body Image by Pre-Adolescents and Adolescents and Its Relationship with the Time They Spend Doing Sports. Sustainability. 15(13). 10061–10061. 2 indexed citations

Rivera, Francisca Fariña, et al.. (2023). Programas de parentalidad desde la óptica y el análisis de los progenitores españoles. Acción Psicológica. 20(2). 2 indexed citations

Fernández, Paula, et al.. (2022). Activities of Daily Living in Parkinson Disease. Topics in Geriatric Rehabilitation. 38(4). 285–295. 2 indexed citations

Fernández, Paula, et al.. (2020). Patients with Parkinson’s Disease Show Alteration in their Visuospatial Abilities and in their Egocentric and Allocentric Spatial Orientation Measured by Card Placing Tests. Journal of Parkinson s Disease. 10(4). 1807–1816. 12 indexed citations

Fernández, Paula, et al.. (2015). Analysis of the Most Discussed Television Programs on Twitter and their Relationship with the Traditional Audience in Spain. SHILAP Revista de lepidopterología. 1 indexed citations

Vallejo, Guillermo, et al.. (2010). Análisis de medidas repetidas usando métodos de remuestreo. Anales de Psicología. 26(2). 400–409. 6 indexed citations

Vallejo, Guillermo, Manuel Ato, & Paula Fernández. (2010). A robust approach for analyzing unbalanced factorial designs with fixed levels. Behavior Research Methods. 42(2). 607–617. 11 indexed citations

10.

Fernández, Paula, et al.. (2010). Robustez de cinco estadísticos univariados para analizar diseños Split-Plot en condiciones adversas. Revista Latinoamericana de Psicología. 42(2). 289–309. 1 indexed citations

11.

Fernández, Paula, et al.. (2007). Cómo elegir la mejor prueba estadística para analizar un diseño de medidas repetidas. SHILAP Revista de lepidopterología. 12 indexed citations

12.

Vallejo, Guillermo, et al.. (2006). Procedimientos estadísticos alternativos para evaluar la robustez mediante diseños de medidas repetidas. Revista Latinoamericana de Psicología. 38(3). 579–598. 11 indexed citations

13.

García-Vega, Elena, et al.. (2005). Género y sexo como variables moduladoras del comportamiento sexual en jóvenes universitarios. Psicothema. 17(1). 49–56. 26 indexed citations

14.

Fernández, Paula, et al.. (2004). Autocorrelación serial igual a cer o. Precisión para la estimación. Psicothema. 16(1). 163–169. 2 indexed citations

15.

Vallejo, Guillermo, et al.. (2004). Alternative procedures for testing fixed effects in repeated measures designs when assumptions are violated. Psicothema. 16(3). 498–508. 19 indexed citations

16.

Fernández, Paula, et al.. (2004). The Sexual Opinion Survey (SOS). Revisión de las características psicométricas transcurrida una década desde su traducción. 5(1). 273–279. 1 indexed citations

17.

Fernández, Paula & Guillermo Vallejo. (2002). Ausencia de normalidad y desigualdad del tamaño de los grupos.¿Afecta a la estimación de la autocorrelación?. Psicothema. 14(4). 861–869. 1 indexed citations

18.

Fernández, Paula & Guillermo Vallejo. (1997). SOFTWARE, INSTRUMENTACIÓN Y METODOLOGÍA DISEÑO DE MEDIDAS REPETIDAS CON DEPENDENCIA SERIAL EN EL ERROR. Psicothema. 9(3). 619–635. 3 indexed citations

19.

Fernández, Paula & Guillermo Vallejo. (1996). DISEÑO DE MEDIDAS REPETIDAS CON DEPENDENCIA SERIAL EN EL ERROR BAJO LA VIOLACIÓN DE LA ASUNCIÓN DE HOMOGENEIDAD. Anales de Psicología. 12(1). 87–106. 2 indexed citations

20.

Vallejo, Guillermo & Paula Fernández. (1990). Diseños de medidas repetidas con errores autocorrelacionados. Psicothema. 2(2). 189–209. 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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