Isabel R. Pinto

83 total papers · 1.5k total citations
35 papers, 531 citations indexed

About

Isabel R. Pinto is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Isabel R. Pinto has authored 35 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 15 papers in Social Psychology and 5 papers in Cognitive Neuroscience. Recurrent topics in Isabel R. Pinto's work include Social and Intergroup Psychology (14 papers), Cultural Differences and Values (8 papers) and Death Anxiety and Social Exclusion (5 papers). Isabel R. Pinto is often cited by papers focused on Social and Intergroup Psychology (14 papers), Cultural Differences and Values (8 papers) and Death Anxiety and Social Exclusion (5 papers). Isabel R. Pinto collaborates with scholars based in Portugal, United Kingdom and United States. Isabel R. Pinto's co-authors include José M. Marques, Dominic Abrams, John M. Levine, Félix Neto, Giovanni A. Travaglino, Octávio S. Paulo, Darío Páez, William Chester Jordan, Richard A. Nichols and Michael W. Bruford and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Frontiers in Psychology.

In The Last Decade

Isabel R. Pinto

32 papers receiving 500 citations

Author Peers

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

Author						Papers	Cites
Isabel R. Pinto	318	189	107	95	51	35	531
Ana C. Leite	321 1.0×	142 0.8×	170 1.6×	50 0.5×	12 0.2×	23	569
Kimball Young	209 0.7×	129 0.7×	44 0.4×	51 0.5×	46 0.9×	26	524
Angela Schneider	458 1.4×	203 1.1×	103 1.0×	88 0.9×	9 0.2×	42	618
Michael J. Halloran	248 0.8×	243 1.3×	67 0.6×	20 0.2×	28 0.5×	20	503
Brian Collisson	279 0.9×	208 1.1×	67 0.6×	66 0.7×	23 0.5×	31	500
Mark R. Hoffarth	381 1.2×	278 1.5×	73 0.7×	113 1.2×	17 0.3×	19	571
Peggy Chekroun	310 1.0×	227 1.2×	113 1.1×	49 0.5×	23 0.5×	22	495
April H. Bailey	217 0.7×	115 0.6×	72 0.7×	250 2.6×	17 0.3×	24	497
Leonid Tiokhin	216 0.7×	154 0.8×	121 1.1×	34 0.4×	31 0.6×	20	602
Thomas C. Mann	253 0.8×	194 1.0×	185 1.7×	57 0.6×	40 0.8×	25	502

Countries citing papers authored by Isabel R. Pinto

Since Specialization

Citations

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

Fields of papers citing papers by Isabel R. Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel R. Pinto. 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 Isabel R. Pinto. The network helps show where Isabel R. Pinto may publish in the future.

Co-authorship network of co-authors of Isabel R. Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel R. Pinto. A scholar is included among the top collaborators of Isabel R. Pinto 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 Isabel R. Pinto. Isabel R. Pinto 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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