Rakesh Niraj

1.1k citations
22 papers · 755 indexed · h-index 13

Impact in

Papers in

Rakesh Niraj

22 papers receiving 692 citations

Peers

Rakesh Niraj
Comparison fields: 5 of 61
  • Marketing 495
  • Organizational Behavior and Human Resource Management 293
  • Management Information Systems 181
  • Information Systems and Management 97
  • Strategy and Management 165
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Rowland T. Moriarty United States
Benson P. Shapiro United States
Marc Fischer Germany
Gerhard Plaschka United States
Scott Neslin United States
Stanton G. Cort United States
Jozée Lapierre Canada
Subhash C. Mehta Singapore
Katri Ojasalo Finland
Jan Eklöf Sweden
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Citations per field
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Citations per year

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-authors

The 21 scholars most cited alongside Rakesh Niraj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rakesh Niraj Line = papers co-authored together Rakesh Niraj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001219
2 201184
3 200878
4 200775
5 201058
6
["A Cross-Category Model of Households'; Incidence and Quantity Decisions"]
200844
7 201834
8 201123
9 200422
10 201921
11 200818
12 201515
13 200912
14 202011
15 201210
16 20227
17 20066
18 20196
19
Why and How Quality Wins over Network Effects and What it Means
20085
20 20133

About Rakesh Niraj

Rakesh Niraj is a scholar working on Marketing, Economics and Econometrics, Management Science and Operations Research, Organizational Behavior and Human Resource Management and Strategy and Management, having authored 22 papers that have together received 755 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (14 papers), Consumer Retail Behavior Studies (8 papers), Customer Service Quality and Loyalty (6 papers), Digital Platforms and Economics (5 papers), Innovation Diffusion and Forecasting (4 papers), Supply Chain and Inventory Management (3 papers), Digital Marketing and Social Media (3 papers) and Economics of Agriculture and Food Markets (3 papers). The work is most often cited by research in Marketing (495 citations), Organizational Behavior and Human Resource Management (293 citations), Management Information Systems (181 citations), Information Systems and Management (97 citations) and Strategy and Management (165 citations). Rakesh Niraj has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Chakravarthi Narasimhan, Mahendra Gupta, Anand Jaiswal, Vineet Padmanabhan, P.B. Seetharaman, Ganesh Iyer, Pingali Venugopal, Ramkumar Janakiraman, Manoj K. Agarwal and Jagdip Singh. Their work appears in journals such as Decision Sciences, Journal of Services Marketing, Management Science, Marketing Science and Journal of Business-to-Business Marketing.

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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