Mario Sainz

74 total papers · 3.4k total citations
28 papers, 267 citations indexed

About

Mario Sainz is a scholar working on Social Psychology, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Mario Sainz has authored 28 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Social Psychology, 19 papers in Sociology and Political Science and 7 papers in Cognitive Neuroscience. Recurrent topics in Mario Sainz's work include Social and Intergroup Psychology (12 papers), Cultural Differences and Values (10 papers) and Psychological Well-being and Life Satisfaction (6 papers). Mario Sainz is often cited by papers focused on Social and Intergroup Psychology (12 papers), Cultural Differences and Values (10 papers) and Psychological Well-being and Life Satisfaction (6 papers). Mario Sainz collaborates with scholars based in Spain, Mexico and Chile. Mario Sainz's co-authors include Miguel Moya, Rosa Rodríguez‐Bailón, Rocío Martínez, Cristina Baldissarri, Jeroen Vaes, Naira Delgado, Juan A. Moriano, Eva Moreno‐Bella, Steve Loughnan and Robbie M. Sutton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Frontiers in Psychology.

In The Last Decade

Mario Sainz

25 papers receiving 259 citations

Author Peers

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

Author						Papers	Cites
Mario Sainz	163	157	49	47	30	28	267
Rocío Martínez	163 1.0×	158 1.0×	17 0.3×	57 1.2×	34 1.1×	24	294
Roberta Rosa Valtorta	134 0.8×	158 1.0×	51 1.0×	53 1.1×	47 1.6×	29	323
Joanna Różycka‐Tran	153 0.9×	159 1.0×	19 0.4×	34 0.7×	14 0.5×	26	326
Hillie Aaldering	82 0.5×	183 1.2×	40 0.8×	31 0.7×	25 0.8×	17	260
Ana Figueiredo	137 0.8×	160 1.0×	12 0.2×	46 1.0×	13 0.4×	27	263
Anna Zlobina	142 0.9×	205 1.3×	12 0.2×	23 0.5×	48 1.6×	29	314
Mariola Paruzel‐Czachura	96 0.6×	93 0.6×	38 0.8×	135 2.9×	9 0.3×	34	266
Jitendra Mohan	77 0.5×	66 0.4×	25 0.5×	14 0.3×	19 0.6×	28	251
Agustín Echebarría Echabe	124 0.8×	135 0.9×	10 0.2×	20 0.4×	61 2.0×	25	304
Laurie Wilson	123 0.8×	78 0.5×	37 0.8×	10 0.2×	11 0.4×	23	288

Countries citing papers authored by Mario Sainz

Since Specialization

Citations

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

Fields of papers citing papers by Mario Sainz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Sainz

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Sainz. A scholar is included among the top collaborators of Mario Sainz 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 Mario Sainz. Mario Sainz 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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