Diego Costa Pinto

2.6k total citations · 1 hit paper
66 papers, 1.8k citations indexed

About

Diego Costa Pinto is a scholar working on Marketing, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Diego Costa Pinto has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Marketing, 31 papers in Sociology and Political Science and 11 papers in Information Systems and Management. Recurrent topics in Diego Costa Pinto's work include Consumer Behavior in Brand Consumption and Identification (27 papers), Digital Marketing and Social Media (22 papers) and Environmental Sustainability in Business (12 papers). Diego Costa Pinto is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (27 papers), Digital Marketing and Social Media (22 papers) and Environmental Sustainability in Business (12 papers). Diego Costa Pinto collaborates with scholars based in Portugal, Brazil and United States. Diego Costa Pinto's co-authors include Márcia Maurer Herter, Anna S. Mattila, Wagner Júnior Ladeira, Fernando de Oliveira Santini, Saleh Shuqair, Adilson Borges, Cláudio Hoffmann Sampaio, Walter Meucci Nique, Barry J. Babin and Edar da Silva Añaña and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Business Research.

In The Last Decade

Diego Costa Pinto

59 papers receiving 1.7k citations

Hit Papers

Customer engagement in social media: a framework and meta... 2020 2026 2022 2024 2020 100 200 300

Peers

Diego Costa Pinto
Carla Ferraro Australia
Rebecca Walker Reczek United States
Li Miao United States
Hyun Jung Park South Korea
Diego Costa Pinto
Citations per year, relative to Diego Costa Pinto Diego Costa Pinto (= 1×) peers Sushant Kumar

Countries citing papers authored by Diego Costa Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Diego Costa Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Costa Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Costa Pinto. A scholar is included among the top collaborators of Diego Costa 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 Diego Costa Pinto. Diego Costa Pinto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pinto, Diego Costa, et al.. (2025). The power of GenAI nudges: How generative AI shapes consumer empowerment and goal desirability. International Journal of Information Management. 85. 102955–102955.
2.
González‐Jiménez, Héctor & Diego Costa Pinto. (2024). Can AI robots foster social inclusion? Exploring the role of immersive augmentation in hospitality. International Journal of Contemporary Hospitality Management. 36(11). 3889–3905. 21 indexed citations
3.
Almeida, Pedro S., Paulo Rita, Diego Costa Pinto, & Márcia Maurer Herter. (2024). The power of facial expressions in branding: can emojis versus human faces shape emotional contagion and brand fun?. Journal of Brand Management. 31(5). 543–556. 3 indexed citations
4.
Pinto, Diego Costa, et al.. (2024). Me, Myself, and My AI: How artificial intelligence classification failures threaten consumers’ self-expression. Journal of Business Research. 186. 114974–114974. 5 indexed citations
5.
Shuqair, Saleh, Diego Costa Pinto, Márcia Maurer Herter, & Anna S. Mattila. (2024). Emojis as heuristic cues: The multifaceted role of emojis in online service interactions. Journal of Consumer Behaviour. 23(4). 1929–1941. 5 indexed citations
6.
Pinto, Diego Costa, et al.. (2024). The paradox of immersive artificial intelligence (AI) in luxury hospitality: how immersive AI shapes consumer differentiation and luxury value. International Journal of Contemporary Hospitality Management. 36(11). 3865–3888. 21 indexed citations
7.
Pinto, Diego Costa, et al.. (2023). Artificial Intelligence and Its Ethical Implications for Marketing. Emerging Science Journal. 7(2). 313–327. 22 indexed citations
8.
Santini, Fernando de Oliveira, Weng Marc Lim, Wagner Júnior Ladeira, et al.. (2023). A meta‐analysis on the psychological and behavioral consequences of nostalgia: The moderating roles of nostalgia activators, culture, and individual characteristics. Psychology and Marketing. 40(10). 1899–1912. 20 indexed citations
9.
Naranjo, Paola G. Vinueza, et al.. (2023). The Role of Technology in the Learning Process: A Decision Tree-Based Model Using Machine Learning. Emerging Science Journal. 6. 280–295. 6 indexed citations
10.
Herter, Márcia Maurer, et al.. (2023). Does crowdsourcing necessarily lead to brand engagement? The role of crowdsourcing cues and relationship norms on customer-brand relationships. Journal of Product & Brand Management. 32(7). 988–1004. 10 indexed citations
11.
Pinto, Diego Costa, et al.. (2022). Green pride in sustainable versus premium brand decisions. Marketing Intelligence & Planning. 40(7). 821–836. 10 indexed citations
12.
Castelli, Mauro, et al.. (2022). The Benefits of Automated Machine Learning in Hospitality: A Step-By-Step Guide and AutoML Tool. Emerging Science Journal. 6(6). 1237–1254. 8 indexed citations
13.
Pinto, Diego Costa, et al.. (2021). Circular economy engagement: Altruism, status, and cultural orientation as drivers for sustainable consumption. Sustainable Production and Consumption. 27. 523–533. 97 indexed citations
14.
Ferreira, Mário B., et al.. (2021). On the Relation Between Over-Indebtedness and Well-Being: An Analysis of the Mechanisms Influencing Health, Sleep, Life Satisfaction, and Emotional Well-Being. Frontiers in Psychology. 12. 591875–591875. 36 indexed citations
15.
Herter, Márcia Maurer, et al.. (2020). The power of sophistication: How service design cues help in service failures. Journal of Consumer Behaviour. 19(3). 277–290. 5 indexed citations
16.
Ferreira, Mário B., et al.. (2020). Using artificial intelligence to overcome over-indebtedness and fight poverty. Journal of Business Research. 131. 411–425. 26 indexed citations
17.
Dalmoro, Marlon, Diego Costa Pinto, Márcia Maurer Herter, & Walter Meucci Nique. (2020). Traditionscapes in emerging markets. International Journal of Emerging Markets. 15(6). 1105–1126. 6 indexed citations
18.
Pinto, Diego Costa, Márcia Maurer Herter, Patrícia Rossi, & Adilson Borges. (2013). Going Green For Self Vs. Others: Gender and Identity Salience Effects on Green Consumption. ACR North American Advances. 1 indexed citations
19.
Herter, Márcia Maurer, Diego Costa Pinto, Adilson Borges, & Walter Meucci Nique. (2011). Going Green For Friends, Family Or Community?: How Different Levels of Subject Norms and Identity Influence Green Behavior. ACR North American Advances. 1 indexed citations
20.
Pinto, Diego Costa, et al.. (2009). MARKETING CLÍNICO: REFLEXÕES SOBRE UTILIDADE E UTILITARISMO. SHILAP Revista de lepidopterología.

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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