Samuel Lins

168 total papers · 3.9k total citations
54 papers, 356 citations indexed

About

Samuel Lins is a scholar working on Marketing, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Samuel Lins has authored 54 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Marketing, 17 papers in Sociology and Political Science and 13 papers in Social Psychology. Recurrent topics in Samuel Lins's work include Consumer Retail Behavior Studies (16 papers), Consumer Behavior in Brand Consumption and Identification (15 papers) and Cultural Differences and Values (7 papers). Samuel Lins is often cited by papers focused on Consumer Retail Behavior Studies (16 papers), Consumer Behavior in Brand Consumption and Identification (15 papers) and Cultural Differences and Values (7 papers). Samuel Lins collaborates with scholars based in Brazil, Portugal and Spain. Samuel Lins's co-authors include Sibele D. Aquino, Gabrielle Poeschl, Patrícia Nunes da Fonsêca, Cynthia de Freitas Melo, Rildésia Silva Veloso Gouveia, Jean Carlos Natividade, Valdiney Velôso Gouveia, Leôncio Camino, Luana Elayne Cunha de Souza and Juliane Callegaro Borsa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Climate Change and Journal of Affective Disorders.

In The Last Decade

Samuel Lins

48 papers receiving 335 citations

Author Peers

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

Author Last Decade Papers Cites
Samuel Lins 143 88 87 72 55 54 356
Sigmar Malvezzi 26 0.2× 25 0.3× 87 1.0× 95 1.3× 32 0.6× 31 325
Remya Lathabhavan 36 0.3× 66 0.8× 71 0.8× 78 1.1× 129 2.3× 48 366
Khusnul Rofida Novianti 25 0.2× 68 0.8× 141 1.6× 64 0.9× 25 0.5× 28 362
Poornima Madan 61 0.4× 17 0.2× 90 1.0× 91 1.3× 46 0.8× 35 323
Surendra Kumar Sia 71 0.5× 22 0.3× 84 1.0× 124 1.7× 60 1.1× 32 397
Irena Valantinė 45 0.3× 18 0.2× 124 1.4× 79 1.1× 18 0.3× 29 330
Xiaotong Jin 136 1.0× 60 0.7× 102 1.2× 102 1.4× 39 0.7× 28 321
Lee-Peng Ng 40 0.3× 16 0.2× 88 1.0× 75 1.0× 29 0.5× 26 305
Shinae Choi 74 0.5× 57 0.6× 52 0.6× 78 1.1× 61 1.1× 37 356
Sangmi Choi 21 0.1× 22 0.3× 130 1.5× 96 1.3× 45 0.8× 28 369

Countries citing papers authored by Samuel Lins

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Lins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Lins

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