Marc–Lluís Vives

32 total papers · 707 total citations
17 papers, 429 citations indexed

About

Marc–Lluís Vives is a scholar working on Cognitive Neuroscience, Sociology and Political Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Marc–Lluís Vives has authored 17 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Sociology and Political Science and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Marc–Lluís Vives's work include Social and Intergroup Psychology (5 papers), Psychology of Moral and Emotional Judgment (5 papers) and Experimental Behavioral Economics Studies (4 papers). Marc–Lluís Vives is often cited by papers focused on Social and Intergroup Psychology (5 papers), Psychology of Moral and Emotional Judgment (5 papers) and Experimental Behavioral Economics Studies (4 papers). Marc–Lluís Vives collaborates with scholars based in United States, Spain and Netherlands. Marc–Lluís Vives's co-authors include Oriel FeldmanHall, Joseph Heffner, Albert Costa, Joanna D. Corey, Melina Aparici, Steven A. Sloman, Boaz Keysar, Sayuri Hayakawa, Mina Cikara and César Ávila and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Marc–Lluís Vives

16 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Marc–Lluís Vives	170	162	126	86	75	17	429
Joseph Heffner	145 0.9×	156 1.0×	82 0.7×	86 1.0×	88 1.2×	13	372
Justin T. Buckingham	154 0.9×	72 0.4×	130 1.0×	56 0.7×	67 0.9×	17	368
Max Rollwage	172 1.0×	174 1.1×	77 0.6×	36 0.4×	89 1.2×	16	462
Carolyn M. Holstein	137 0.8×	92 0.6×	130 1.0×	73 0.8×	68 0.9×	9	421
Bonnel Klentz	266 1.6×	66 0.4×	248 2.0×	93 1.1×	43 0.6×	13	487
Yumi Endo	196 1.2×	60 0.4×	209 1.7×	34 0.4×	56 0.7×	23	395
Asuka Komiya	153 0.9×	100 0.6×	174 1.4×	47 0.5×	137 1.8×	31	444
Farid Anvari	153 0.9×	79 0.5×	96 0.8×	60 0.7×	80 1.1×	14	458
Christoph Schild	121 0.7×	152 0.9×	83 0.7×	136 1.6×	138 1.8×	32	429
Cai Xing	74 0.4×	68 0.4×	147 1.2×	88 1.0×	87 1.2×	29	369

Countries citing papers authored by Marc–Lluís Vives

Since Specialization

Citations

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

Fields of papers citing papers by Marc–Lluís Vives

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc–Lluís Vives. 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 Marc–Lluís Vives. The network helps show where Marc–Lluís Vives may publish in the future.

Co-authorship network of co-authors of Marc–Lluís Vives

This figure shows the co-authorship network connecting the top 25 collaborators of Marc–Lluís Vives. A scholar is included among the top collaborators of Marc–Lluís Vives 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 Marc–Lluís Vives. Marc–Lluís Vives 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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