Arvind Sahay

1.5k total citations · 1 hit paper
37 papers, 1.0k citations indexed

About

Arvind Sahay is a scholar working on Marketing, Strategy and Management and Economics and Econometrics. According to data from OpenAlex, Arvind Sahay has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Marketing, 11 papers in Strategy and Management and 9 papers in Economics and Econometrics. Recurrent topics in Arvind Sahay's work include Consumer Behavior in Brand Consumption and Identification (11 papers), Consumer Market Behavior and Pricing (8 papers) and Consumer Retail Behavior Studies (6 papers). Arvind Sahay is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (11 papers), Consumer Market Behavior and Pricing (8 papers) and Consumer Retail Behavior Studies (6 papers). Arvind Sahay collaborates with scholars based in India, United States and Norway. Arvind Sahay's co-authors include Preet S. Aulakh, Masaaki Kotabe, Debra Riley, Nivedita Sharma, Sumitava Mukherjee, V. S. Chandrasekhar Pammi, Narayanan Srinivasan, Gordhan K. Saini, Jane Gould and Abraham Koshy and has published in prestigious journals such as Journal of Marketing, Journal of Business Research and Journal of International Business Studies.

In The Last Decade

Arvind Sahay

34 papers receiving 921 citations

Hit Papers

Trust and Performance in Cross-Border Marketing Partnersh... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arvind Sahay India 12 580 316 228 209 190 37 1.0k
Anne L. Souchon United Kingdom 21 753 1.3× 401 1.3× 260 1.1× 154 0.7× 175 0.9× 41 1.2k
Gabriele Troilo Italy 11 405 0.7× 315 1.0× 309 1.4× 162 0.8× 165 0.9× 21 889
Stephanie Slater United Kingdom 10 703 1.2× 331 1.0× 280 1.2× 424 2.0× 199 1.0× 19 1.2k
Sergio Olavarrieta Chile 11 468 0.8× 219 0.7× 305 1.3× 226 1.1× 139 0.7× 37 967
Carmen Lages Portugal 11 621 1.1× 216 0.7× 253 1.1× 105 0.5× 193 1.0× 21 976
Babu John Mariadoss United States 18 563 1.0× 377 1.2× 500 2.2× 149 0.7× 294 1.5× 34 1.2k
Da-Chian Hu Taiwan 20 532 0.9× 451 1.4× 275 1.2× 196 0.9× 255 1.3× 35 1.3k
Alexandros Papalexandris Greece 9 610 1.1× 279 0.9× 102 0.4× 203 1.0× 118 0.6× 16 1.1k
Vishal Kashyap United States 15 383 0.7× 278 0.9× 286 1.3× 168 0.8× 201 1.1× 24 864
Janice M. Payan United States 16 418 0.7× 474 1.5× 261 1.1× 221 1.1× 191 1.0× 24 938

Countries citing papers authored by Arvind Sahay

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Sahay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Sahay

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Sahay. A scholar is included among the top collaborators of Arvind Sahay 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 Arvind Sahay. Arvind Sahay 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.
Agarwal, Neeraj, et al.. (2025). Remote sensing, geospatial and AI/ML techniques: catalysing growth in India's blue economy. CSI Transactions on ICT. 13(1). 27–42. 2 indexed citations
3.
Jaikumar, Saravana, Pradeep K. Chintagunta, & Arvind Sahay. (2024). Do No Harm? Unintended Consequences of Pharmaceutical Price Regulation in India. Journal of Marketing. 88(6). 1–23. 1 indexed citations
4.
Sahay, Arvind, et al.. (2024). Cashbacks “In the nick of time”: consumers’ sensitivity to promotion delays and impact on promotion judgments. Journal of Consumer Marketing. 41(5). 524–539.
5.
Ghosh, Ranjan, et al.. (2023). Consumer preference for nutrition front-of-pack-label formats in India: Evidence from a large-scale experimental survey. Food Quality and Preference. 111. 104993–104993. 2 indexed citations
6.
Sahay, Arvind, et al.. (2022). Too many cooks spoil the broth? Number of promotional gifts and impact on consumer choice. Journal of Retailing and Consumer Services. 69. 103083–103083. 10 indexed citations
7.
Bhattacharyya, Som Sekhar, Arvind Sahay, & Arunaditya Sahay. (2022). The Quest for Competitive Advantage: The Role of Technology Depth and Breadth at the Customer Interface. Vikalpa The Journal for Decision Makers. 47(4). 274–287. 3 indexed citations
8.
Mohapatra, Sanket, et al.. (2021). Central bank gold reserves and sovereign credit risk. Finance research letters. 45. 102127–102127. 7 indexed citations
9.
Narayanan, Priya, et al.. (2020). Understanding the government's attempt to transform attitudes towards a critical resource: Gold monetization in India. Resources Policy. 66. 101600–101600. 1 indexed citations
11.
Saini, Gordhan K., Arvind Sahay, & Gurumurthy Kalyanaram. (2019). How do complementarity and discount choices interact with latitude of price acceptance in price bundling?. Journal of Consumer Marketing. 36(7). 962–976. 9 indexed citations
12.
Mukherjee, Sumitava, Arvind Sahay, V. S. Chandrasekhar Pammi, & Narayanan Srinivasan. (2017). Is loss-aversion magnitude-dependent? Measuring prospective affective judgments regarding gains and losses. Judgment and Decision Making. 12(1). 81–89. 47 indexed citations
13.
Mukherjee, Sumitava & Arvind Sahay. (2017). Nocebo effects from negative product information: when information hurts, paying money could heal. Journal of Consumer Marketing. 35(1). 32–39. 3 indexed citations
14.
Jaikumar, Saravana & Arvind Sahay. (2015). Celebrity endorsements and branding strategies: event study from India. Journal of Product & Brand Management. 24(6). 633–645. 7 indexed citations
15.
Sahay, Arvind, Sumitava Mukherjee, & Prem Prakash Dewani. (2015). Price discount framings on product bundles with shipping surcharges in the Indian market. Journal of Indian Business Research. 7(1). 4–20. 6 indexed citations
16.
Saini, Gordhan K. & Arvind Sahay. (2014). Comparing retail formats in an emerging market. Journal of Indian Business Research. 6(1). 48–69. 10 indexed citations
17.
Sahay, Arvind, et al.. (2012). Role of affect and cognition in consumer brand relationship: exploring gender differences. Journal of Indian Business Research. 4(1). 36–60. 15 indexed citations
18.
Sahay, Arvind. (2007). How to Reap Higher Profits With Dynamic Princing. MIT Sloan management review. 48(4). 53–60. 35 indexed citations
19.
Sahay, Arvind & Debra Riley. (2003). The Role of Resource Access, Market Considerations, and the Nature of Innovation in Pursuit of Standards in the New Product Development Process. Journal of Product Innovation Management. 20(5). 338–355. 45 indexed citations
20.
Kotabe, Masaaki, Arvind Sahay, & Preet S. Aulakh. (1996). Emerging Role of Technology Licensing in the Development of Global Product Strategy: Conceptual Framework and Research Propositions. Journal of Marketing. 60(1). 73–88. 73 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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