Rakesh Niraj

1.1k total citations
22 papers, 755 citations indexed

About

Rakesh Niraj is a scholar working on Marketing, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Rakesh Niraj has authored 22 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Marketing, 7 papers in Economics and Econometrics and 6 papers in Management Science and Operations Research. Recurrent topics in Rakesh Niraj's work include Consumer Market Behavior and Pricing (14 papers), Consumer Retail Behavior Studies (8 papers) and Customer Service Quality and Loyalty (6 papers). Rakesh Niraj is often cited by papers focused on Consumer Market Behavior and Pricing (14 papers), Consumer Retail Behavior Studies (8 papers) and Customer Service Quality and Loyalty (6 papers). Rakesh Niraj collaborates with scholars based in United States, India and United Kingdom. Rakesh Niraj's co-authors include Chakravarthi Narasimhan, Mahendra Gupta, Anand Jaiswal, P.B. Seetharaman, Vineet Padmanabhan, Ganesh Iyer, Pingali Venugopal, Ramkumar Janakiraman, Manoj K. Agarwal and Jagdip Singh and has published in prestigious journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

In The Last Decade

Rakesh Niraj

22 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rakesh Niraj United States 13 495 293 181 167 165 22 755
Araceli Picón Berjoyo Spain 7 211 0.4× 255 0.9× 251 1.4× 113 0.7× 295 1.8× 10 633
Ronald T. Wilcox United States 11 608 1.2× 165 0.6× 84 0.5× 73 0.4× 140 0.8× 24 825
Gerhard Plaschka United States 10 236 0.5× 197 0.7× 96 0.5× 202 1.2× 159 1.0× 16 574
Mohd Shoki Md Ariff Malaysia 14 314 0.6× 270 0.9× 89 0.5× 239 1.4× 109 0.7× 37 747
Katri Ojasalo Finland 7 212 0.4× 186 0.6× 98 0.5× 75 0.4× 112 0.7× 12 478
Leslie S.C. Yip Hong Kong 12 295 0.6× 318 1.1× 97 0.5× 205 1.2× 259 1.6× 18 688
Eva Ascarza United States 11 491 1.0× 203 0.7× 74 0.4× 134 0.8× 79 0.5× 26 709
Anuj Kumar United States 14 285 0.6× 70 0.2× 93 0.5× 174 1.0× 116 0.7× 38 577
Scott Neslin United States 14 710 1.4× 280 1.0× 41 0.2× 201 1.2× 91 0.6× 29 847
Benson P. Shapiro United States 15 374 0.8× 361 1.2× 176 1.0× 98 0.6× 248 1.5× 33 781

Countries citing papers authored by Rakesh Niraj

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Niraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Niraj

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Niraj. A scholar is included among the top collaborators of Rakesh Niraj 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 Rakesh Niraj. Rakesh Niraj 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.
Gallan, Andrew S., et al.. (2022). Beyond HCAHPS: Analysis of patients’ comments provides an expanded view of their hospital experiences. Patient Experience Journal. 9(1). 159–168. 7 indexed citations
2.
Wang, Ping, et al.. (2020). Reference points in consumer choice models: A review and future research agenda. International Journal of Consumer Studies. 45(5). 985–1006. 11 indexed citations
3.
Bulla, Jan, et al.. (2019). Catalogue as a tool for reinforcing habits: Empirical evidence from a multichannel retailer. International Journal of Research in Marketing. 36(4). 528–541. 21 indexed citations
4.
Jaiswal, Anand, et al.. (2018). The effect of relationship and transactional characteristics on customer retention in emerging online markets. Journal of Business Research. 92. 25–35. 34 indexed citations
5.
Niraj, Rakesh & Jagdip Singh. (2015). Impact of User-Generated and Professional Critics Reviews on Bollywood Movie Success. Australasian Marketing Journal (AMJ). 23(3). 179–187. 15 indexed citations
6.
Niraj, Rakesh & S. Siddarth. (2014). Price customization and within-chain data do not mix!. European Journal of Marketing. 48(1/2). 360–379. 2 indexed citations
7.
Niraj, Rakesh & Chakravarthi Narasimhan. (2013). Examining Incentives to Share Demand Information with your Channel Partner. International Journal of Information Technology & Decision Making. 16(4). 961–980. 3 indexed citations
8.
Niraj, Rakesh, et al.. (2012). Uncovering Customer Profitability Segments for Business Customers. Journal of Business-to-Business Marketing. 19(1). 1–32. 10 indexed citations
9.
Janakiraman, Ramkumar & Rakesh Niraj. (2011). The Impact of Geographic Proximity on What to Buy, How to Buy, and Where to Buy: Evidence from High-Tech Durable Goods Market*. Decision Sciences. 42(4). 889–919. 23 indexed citations
10.
Jaiswal, Anand & Rakesh Niraj. (2011). Examining mediating role of attitudinal loyalty and nonlinear effects in satisfaction‐behavioral intentions relationship. Journal of Services Marketing. 25(3). 165–175. 84 indexed citations
11.
Tellis, Gerard J., Eden Yin, & Rakesh Niraj. (2009). Reply to Comments: Why and How Quality Wins Over Network Effects and What It Means?. 2 indexed citations
12.
Tellis, Gerard J., Eden Yin, & Rakesh Niraj. (2009). Does Quality Win? Network Effects versus Quality in High-Tech Markets. Journal of Marketing Research. 46(2). 135–149. 12 indexed citations
13.
Niraj, Rakesh, Vineet Padmanabhan, & P.B. Seetharaman. (2008). ["A Cross-Category Model of Households'; Incidence and Quantity Decisions"]. 44 indexed citations
14.
Niraj, Rakesh, Vineet Padmanabhan, & P.B. Seetharaman. (2008). Research Note—A Cross-Category Model of Households' Incidence and Quantity Decisions. Marketing Science. 27(2). 225–235. 78 indexed citations
15.
Tellis, Gerard J., Rakesh Niraj, & Eden Yin. (2008). Why and How Quality Wins over Network Effects and What it Means. 5 indexed citations
16.
Niraj, Rakesh, George Foster, Mahendra Gupta, & Chakravarthi Narasimhan. (2008). Understanding customer level profitability implications of satisfaction programs. Journal of Business and Industrial Marketing. 23(7). 454–463. 18 indexed citations
17.
Iyer, Ganesh, Chakravarthi Narasimhan, & Rakesh Niraj. (2007). Information and Inventory in Distribution Channels. Management Science. 53(10). 1551–1561. 75 indexed citations
18.
Iyer, Ganesh, Chakravarthi Narasimhan, & Rakesh Niraj. (2006). Information and Inventory in Distribution Channels. SSRN Electronic Journal. 6 indexed citations
19.
Niraj, Rakesh & Chakravarthi Narasimhan. (2004). Vertical Information Sharing in Distribution Channels. SSRN Electronic Journal. 22 indexed citations
20.
Niraj, Rakesh, Mahendra Gupta, & Chakravarthi Narasimhan. (2001). Customer Profitability in a Supply Chain. Journal of Marketing. 65(3). 1–16. 219 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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