Sheila Matson-Barkat

12 total papers · 558 total citations
5 papers, 394 citations indexed

About

Sheila Matson-Barkat is a scholar working on Sociology and Political Science, Marketing and Food Science. According to data from OpenAlex, Sheila Matson-Barkat has authored 5 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 2 papers in Marketing and 2 papers in Food Science. Recurrent topics in Sheila Matson-Barkat's work include Consumer Behavior in Brand Consumption and Identification (2 papers), Digital Marketing and Social Media (2 papers) and Wine Industry and Tourism (2 papers). Sheila Matson-Barkat is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (2 papers), Digital Marketing and Social Media (2 papers) and Wine Industry and Tourism (2 papers). Sheila Matson-Barkat collaborates with scholars based in France and United States. Sheila Matson-Barkat's co-authors include Sarah Hudson, Nico Pallamin, Philippe Robert-Demontrond, Sophie Hennekam, Claire-Lise Ackermann, Yann Truong and Cele C. Otnes and has published in prestigious journals such as Journal of Business Research, Tourism Management and Current Issues in Tourism.

In The Last Decade

Sheila Matson-Barkat

5 papers receiving 379 citations

Hit Papers

With or without you? Inte... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sheila Matson-Barkat 190 173 122 66 57 5 394
Nico Pallamin 243 1.3× 143 0.8× 92 0.8× 64 1.0× 85 1.5× 9 429
Ruoxi Qi 171 0.9× 204 1.2× 93 0.8× 70 1.1× 58 1.0× 6 344
Mattia Rainoldi 178 0.9× 218 1.3× 63 0.5× 40 0.6× 59 1.0× 6 376
Dario tom Dieck 176 0.9× 165 1.0× 57 0.5× 60 0.9× 39 0.7× 5 335
Charlotte Vonkeman 96 0.5× 159 0.9× 217 1.8× 114 1.7× 59 1.0× 7 375
Marisa Siegel 123 0.6× 175 1.0× 127 1.0× 96 1.5× 56 1.0× 11 438
Li Cheng 96 0.5× 171 1.0× 93 0.8× 80 1.2× 89 1.6× 20 405
Sujin Bae 85 0.4× 178 1.0× 128 1.0× 92 1.4× 24 0.4× 12 364
Michael D. Hanus 85 0.4× 188 1.1× 62 0.5× 40 0.6× 93 1.6× 11 425
Salvatore Campana 162 0.9× 181 1.0× 52 0.4× 29 0.4× 24 0.4× 14 417

Countries citing papers authored by Sheila Matson-Barkat

Since Specialization
Citations

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

Fields of papers citing papers by Sheila Matson-Barkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila Matson-Barkat. 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 Sheila Matson-Barkat. The network helps show where Sheila Matson-Barkat may publish in the future.

Co-authorship network of co-authors of Sheila Matson-Barkat

This figure shows the co-authorship network connecting the top 25 collaborators of Sheila Matson-Barkat. A scholar is included among the top collaborators of Sheila Matson-Barkat 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 Sheila Matson-Barkat. Sheila Matson-Barkat 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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