Sudhir Voleti

652 total citations
11 papers, 378 citations indexed

About

Sudhir Voleti is a scholar working on Marketing, Economics and Econometrics and Tourism, Leisure and Hospitality Management. According to data from OpenAlex, Sudhir Voleti has authored 11 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Marketing, 5 papers in Economics and Econometrics and 5 papers in Tourism, Leisure and Hospitality Management. Recurrent topics in Sudhir Voleti's work include Consumer Market Behavior and Pricing (7 papers), Wine Industry and Tourism (5 papers) and Economics of Agriculture and Food Markets (3 papers). Sudhir Voleti is often cited by papers focused on Consumer Market Behavior and Pricing (7 papers), Wine Industry and Tourism (5 papers) and Economics of Agriculture and Food Markets (3 papers). Sudhir Voleti collaborates with scholars based in India and United States. Sudhir Voleti's co-authors include Praveen K. Kopalle, Manish Gangwar, Eric T. Bradlow, Kavil Ramachandran, Pulak Ghosh, Amit Mehra, V. Srinivasan, Sundar G. Bharadwaj and Milind Sohoni and has published in prestigious journals such as Journal of Marketing, Management Science and Journal of Retailing.

In The Last Decade

Sudhir Voleti

11 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudhir Voleti India 6 199 131 68 67 64 11 378
Ben Vinod United States 12 231 1.2× 197 1.5× 63 0.9× 52 0.8× 88 1.4× 39 435
Alexander Wieneke Switzerland 7 89 0.4× 154 1.2× 106 1.6× 115 1.7× 57 0.9× 12 354
Anastasia Griva Ireland 10 99 0.5× 97 0.7× 47 0.7× 50 0.7× 27 0.4× 26 333
Niels Feldmann Germany 6 98 0.5× 199 1.5× 70 1.0× 116 1.7× 59 0.9× 11 375
Kazem Haki Switzerland 11 96 0.5× 88 0.7× 72 1.1× 121 1.8× 51 0.8× 31 318
Syamimi Ariff Lim Brunei 5 80 0.4× 109 0.8× 68 1.0× 43 0.6× 30 0.5× 17 299
Arindam Banerjee India 9 213 1.1× 74 0.6× 44 0.6× 43 0.6× 27 0.4× 34 411
Yabing Jiang United States 7 176 0.9× 93 0.7× 75 1.1× 98 1.5× 73 1.1× 24 295
Valeria Belvedere Italy 13 174 0.9× 210 1.6× 58 0.9× 216 3.2× 64 1.0× 31 600
Anníbal C. Sodero United States 9 126 0.6× 157 1.2× 25 0.4× 118 1.8× 43 0.7× 13 320

Countries citing papers authored by Sudhir Voleti

Since Specialization
Citations

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

Fields of papers citing papers by Sudhir Voleti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhir Voleti

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

All Works

11 of 11 papers shown
1.
Voleti, Sudhir, et al.. (2025). Impact of OM Content in Earnings Calls on a Firm’s Stock Performance. Management Science. 71(9). 7929–7947. 1 indexed citations
2.
Mehra, Amit, et al.. (2019). Impact of Reference Prices on Product Positioning and Profits. Production and Operations Management. 29(4). 882–892. 23 indexed citations
3.
Bradlow, Eric T., Manish Gangwar, Praveen K. Kopalle, & Sudhir Voleti. (2017). The Role of Big Data and Predictive Analytics in Retailing. Journal of Retailing. 93(1). 79–95. 281 indexed citations
4.
Voleti, Sudhir, Manish Gangwar, & Praveen K. Kopalle. (2016). Why the Dynamics of Competition Matter for Category Profitability. Journal of Marketing. 81(1). 1–16. 5 indexed citations
5.
Voleti, Sudhir, V. Srinivasan, & Pulak Ghosh. (2016). An approach to improve the predictive power of choice-based conjoint analysis. International Journal of Research in Marketing. 34(2). 325–335. 11 indexed citations
6.
Voleti, Sudhir. (2015). A Multimarket Analysis of Inter-dependent Consumer Response Sensitivities. Digital Eprints Services at ISB (DESI) (Indian School of Business). 13(1). 59–93. 1 indexed citations
7.
Voleti, Sudhir, Praveen K. Kopalle, & Pulak Ghosh. (2015). An Interproduct Competition Model Incorporating Branding Hierarchy and Product Similarities Using Store-Level Data. Management Science. 61(11). 2720–2738. 14 indexed citations
8.
9.
Voleti, Sudhir & Pulak Ghosh. (2013). A robust approach to measure latent, time-varying equity in hierarchical branding structures. Quantitative Marketing and Economics. 11(3). 289–319. 4 indexed citations
10.
Voleti, Sudhir & Pulak Ghosh. (2013). A Non-Parametric Model of Residual Brand Equity in Hierarchical Branding Structures with Application to US Beer Data. Journal of the Royal Statistical Society Series A (Statistics in Society). 177(1). 135–152. 2 indexed citations
11.
Ramachandran, Kavil & Sudhir Voleti. (2004). Business Process Outsourcing (BPO): Emerging Scenario and Strategic Options for IT-enabled Services. Vikalpa The Journal for Decision Makers. 29(1). 49–62. 35 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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