Sujo Thomas

539 total citations
33 papers, 317 citations indexed

About

Sujo Thomas is a scholar working on Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Sujo Thomas has authored 33 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Marketing, 18 papers in Sociology and Political Science and 16 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Sujo Thomas's work include Digital Marketing and Social Media (18 papers), Consumer Behavior in Brand Consumption and Identification (17 papers) and Customer Service Quality and Loyalty (15 papers). Sujo Thomas is often cited by papers focused on Digital Marketing and Social Media (18 papers), Consumer Behavior in Brand Consumption and Identification (17 papers) and Customer Service Quality and Loyalty (15 papers). Sujo Thomas collaborates with scholars based in India, Malaysia and United States. Sujo Thomas's co-authors include Piyush Kumar Sinha, Tat‐Huei Cham and Eugene Cheng‐Xi Aw and has published in prestigious journals such as Journal of Retailing and Consumer Services, International Journal of Retail & Distribution Management and International Journal of Human-Computer Interaction.

In The Last Decade

Sujo Thomas

29 papers receiving 308 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sujo Thomas India 11 224 174 128 66 46 33 317
Lily Gao Spain 10 183 0.8× 120 0.7× 134 1.0× 37 0.6× 54 1.2× 14 303
Babak Hayati United States 6 257 1.1× 190 1.1× 174 1.4× 113 1.7× 29 0.6× 8 389
Michela Mingione Italy 11 167 0.7× 132 0.8× 77 0.6× 78 1.2× 32 0.7× 18 283
Manel Hamouda Tunisia 9 215 1.0× 198 1.1× 107 0.8× 30 0.5× 99 2.2× 15 358
Laure Ambroise France 9 293 1.3× 188 1.1× 123 1.0× 77 1.2× 17 0.4× 24 381
Birgit Andrine Apenes Solem Norway 7 207 0.9× 205 1.2× 125 1.0× 40 0.6× 79 1.7× 8 319
Sam Thomas India 8 124 0.6× 91 0.5× 140 1.1× 69 1.0× 27 0.6× 25 274
Saman Khajehzadeh Australia 6 270 1.2× 194 1.1× 239 1.9× 56 0.8× 93 2.0× 6 416
Kaili Yieh Taiwan 5 195 0.9× 154 0.9× 165 1.3× 45 0.7× 91 2.0× 6 319
Brian L. Bourdeau United States 6 188 0.8× 144 0.8× 198 1.5× 40 0.6× 31 0.7× 14 314

Countries citing papers authored by Sujo Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Sujo Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujo Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Sujo Thomas. A scholar is included among the top collaborators of Sujo Thomas 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 Sujo Thomas. Sujo Thomas 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.
Aw, Eugene Cheng‐Xi, et al.. (2025). Virtual gift donation on social live streaming platforms: insights from SEM-IPMA-ANN-NCA methods. Electronic Commerce Research.
2.
3.
Aw, Eugene Cheng‐Xi, et al.. (2024). Click to contribute: understanding donation behaviour and well-being in donation-based crowdfunding mobile apps. International Journal of Bank Marketing. 42(7). 1835–1866. 2 indexed citations
4.
5.
Thomas, Sujo, et al.. (2024). Predicting CRM patronage intentions based on Schwartz’s theory of human values: a large-sample study anchored on male fashion leadership. International Review on Public and Nonprofit Marketing. 1 indexed citations
6.
Thomas, Sujo, et al.. (2023). Predicting the cause-related marketing participation intention by examining big-five personality traits and moderating role of subjective happiness. International Review on Public and Nonprofit Marketing. 21(1). 199–228. 9 indexed citations
7.
Thomas, Sujo, et al.. (2022). Private-label grocery buyers’ donation intentions and trust in CRM campaigns: an empirical analysis by employing social identity theory. Society and Business Review. 18(3). 401–421. 11 indexed citations
8.
Thomas, Sujo, et al.. (2022). Testing the Influence of Donation Message-framing, Donation Size, and Product Type (Androgynous Luxury: Hedonic Vs. Eco-friendly: Utilitarian) on CRM Participation Intention. Journal of Nonprofit & Public Sector Marketing. 35(4). 391–413. 10 indexed citations
10.
Thomas, Sujo, et al.. (2021). Psychological antecedents of consumer trust in CRM campaigns and donation intentions: The moderating role of creativity. Journal of Retailing and Consumer Services. 61. 102589–102589. 39 indexed citations
11.
Thomas, Sujo, et al.. (2021). Investigating the consumers attitude toward brand and purchase intention within the context of cause-related marketing campaign for a pharmacy product. International Review on Public and Nonprofit Marketing. 19(4). 691–708. 10 indexed citations
12.
Thomas, Sujo, et al.. (2020). CREATIVITY CENTRED BRAND MANAGEMENT MODEL FOR THE POSTCOVID MARKETING 5.0 WORLD. 12. 227–236. 4 indexed citations
13.
Thomas, Sujo, et al.. (2020). Consumer skepticism towards cause related marketing: exploring the consumer tendency to question from emerging market perspective. International Review on Public and Nonprofit Marketing. 17(2). 225–236. 29 indexed citations
14.
Thomas, Sujo, et al.. (2019). Cause-Related Marketing Research (1988–2016): An Academic Review and Classification. Journal of Nonprofit & Public Sector Marketing. 32(5). 488–516. 57 indexed citations
15.
Thomas, Sujo, et al.. (2019). Online grocery retailing – exploring local grocers beliefs. International Journal of Retail & Distribution Management. 47(2). 157–185. 24 indexed citations
16.
Thomas, Sujo, et al.. (2018). Testing the influence of message framing, donation magnitude, and product category in a cause-related marketing context. Journal of Marketing Communications. 26(3). 268–289. 26 indexed citations
17.
Thomas, Sujo, et al.. (2018). Artificial Intelligence Wave In Indian Retail: Evolution, Opportunities and Challenges. 8(2). 33–48. 1 indexed citations
18.
Thomas, Sujo, et al.. (2017). Exploring the interconnections of consumer preference between cause type and cause scope in a cause-related marketing activity: evidence from Indian context. International Journal of Indian Culture and Business Management. 14(3). 365–365. 8 indexed citations
19.
Sinha, Piyush Kumar, et al.. (2014). Teaching social entrepreneurship: development through the juxtaposition of heart and head. 3 indexed citations
20.
Thomas, Sujo, et al.. (2012). A STUDY OF CONSUMER BEHAVIOR APPROACH TOWARDS SHOPPING MALL ATTRACTIVENESS WITH SPECIAL REFERENCE TO THE CITY OF AHMEDABAD. Research Journal of Social Science & Management. 2(5). 4 indexed citations

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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