Nita Umashankar

767 total citations
22 papers, 539 citations indexed

About

Nita Umashankar is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Automotive Engineering. According to data from OpenAlex, Nita Umashankar has authored 22 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Marketing, 6 papers in Organizational Behavior and Human Resource Management and 4 papers in Automotive Engineering. Recurrent topics in Nita Umashankar's work include Consumer Behavior in Brand Consumption and Identification (7 papers), Customer Service Quality and Loyalty (6 papers) and Consumer Retail Behavior Studies (6 papers). Nita Umashankar is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (7 papers), Customer Service Quality and Loyalty (6 papers) and Consumer Retail Behavior Studies (6 papers). Nita Umashankar collaborates with scholars based in United States, India and Canada. Nita Umashankar's co-authors include V. Kumar, Morgan K. Ward, Darren W. Dahl, Vithala R. Rao, Himanshu Sharma, Raji Srinivasan, Jeffrey R. Parker, Arun Sreekumar, Madhu Viswanathan and Sundar G. Bharadwaj and has published in prestigious journals such as Journal of Marketing, Strategic Management Journal and Journal of Marketing Research.

In The Last Decade

Nita Umashankar

22 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nita Umashankar United States 13 251 169 144 112 49 22 539
David Rylander Sweden 6 204 0.8× 70 0.4× 58 0.4× 95 0.8× 21 0.4× 22 341
Abdullah Okumuş Türkiye 9 119 0.5× 51 0.3× 142 1.0× 46 0.4× 33 0.7× 32 388
Shu‐Ling Cheng Taiwan 7 226 0.9× 133 0.8× 214 1.5× 52 0.5× 35 0.7× 18 493
Dian Palupi Restuputri Indonesia 15 110 0.4× 53 0.3× 142 1.0× 254 2.3× 24 0.5× 82 698
Yu‐Lun Liu United Kingdom 11 162 0.6× 49 0.3× 106 0.7× 77 0.7× 54 1.1× 22 400
Upender Subramanian United States 10 396 1.6× 45 0.3× 142 1.0× 191 1.7× 63 1.3× 22 585
Dung H. Nguyen Netherlands 3 243 1.0× 87 0.5× 94 0.7× 62 0.6× 27 0.6× 3 406
Theingi Singapore 6 177 0.7× 217 1.3× 109 0.8× 46 0.4× 11 0.2× 15 355
S. Pugazhendhi India 13 122 0.5× 132 0.8× 53 0.4× 187 1.7× 20 0.4× 31 600

Countries citing papers authored by Nita Umashankar

Since Specialization
Citations

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

Fields of papers citing papers by Nita Umashankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nita Umashankar

This figure shows the co-authorship network connecting the top 25 collaborators of Nita Umashankar. A scholar is included among the top collaborators of Nita Umashankar 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 Nita Umashankar. Nita Umashankar 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.
Umashankar, Nita, Dhruv Grewal, Abhijit Guha, & Timothy Bohling. (2023). Testing Work–Life Theory in Marketing: Evidence from Field Experiments on Social Media. Journal of Marketing Research. 61(2). 307–329. 3 indexed citations
2.
Gabaldón-Figueira, Juan Carlos, Alejandro Fernández‐Montero, Javier Bartolomé, et al.. (2022). Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence. ERJ Open Research. 8(2). 53–2022. 16 indexed citations
3.
Gabaldón-Figueira, Juan Carlos, Joe Brew, Nita Umashankar, et al.. (2021). Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study. BMJ Open. 11(7). e051278–e051278. 13 indexed citations
4.
Viswanathan, Madhu, et al.. (2021). Marketplace Literacy as a Pathway to a Better World: Evidence from Field Experiments in Low-Access Subsistence Marketplaces. Journal of Marketing. 85(3). 113–129. 46 indexed citations
5.
Umashankar, Nita, S. Cem Bahadir, & Sundar G. Bharadwaj. (2021). Despite Efficiencies, Mergers and Acquisitions Reduce Firm Value by Hurting Customer Satisfaction. Journal of Marketing. 86(2). 66–86. 32 indexed citations
6.
Parker, Jeffrey R., et al.. (2019). How and Why the Collaborative Consumption of Food Leads to Overpurchasing, Overconsumption, and Waste. Journal of Public Policy & Marketing. 38(2). 154–171. 36 indexed citations
7.
Parker, Jeffrey R., et al.. (2018). How and Why the Collaborative Consumption of Food Leads to Overpurchasing, Overconsumption, and Waste. Journal of Public Policy & Marketing. 5 indexed citations
8.
Umashankar, Nita, Morgan K. Ward, & Darren W. Dahl. (2017). The Benefit of Becoming Friends: Complaining after Service Failures Leads Customers with Strong Ties to Increase Loyalty. Journal of Marketing. 81(6). 79–98. 80 indexed citations
9.
Umashankar, Nita, et al.. (2016). Do loyal customers really pay more for services?. Journal of the Academy of Marketing Science. 45(6). 807–826. 56 indexed citations
10.
Rao, Vithala R., et al.. (2016). Anticipated vs. Actual Synergy in Merger Partner Selection and Post-Merger Innovation. Marketing Science. 35(6). 934–952. 21 indexed citations
11.
Umashankar, Nita, et al.. (2015). Choosing the right target: Relative preferences for resource similarity and complementarity in acquisition choice. Strategic Management Journal. 37(8). 1808–1825. 56 indexed citations
12.
Kumar, V., et al.. (2014). Assessing the Influence of Economic and Customer Experience Factors on Service Purchase Behaviors. Marketing Science. 33(5). 673–692. 55 indexed citations
13.
Umashankar, Nita & Raji Srinivasan. (2013). Designing Social Interventions to Improve Newcomer Adjustment: Insights from the Indian Sex Worker Community. Journal of Public Policy & Marketing. 32(2). 271–285. 8 indexed citations
14.
Umashankar, Nita, et al.. (2013). Multi-Body Dynamic Simulation and Experimental Validation of Valve Spring Surge Speed. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
15.
Umashankar, Nita, et al.. (2011). Developing Customer Service Innovations for Service Employees: The Effects of NSD Characteristics on Internal Innovation Magnitude. Journal of Service Research. 14(2). 164–179. 33 indexed citations
16.
Sharma, Himanshu & Nita Umashankar. (2006). A Fuzzy Controller Design for an Autonomous Bicycle System. 1–6. 16 indexed citations
17.
Sharma, Himanshu & Nita Umashankar. (2006). A Robotic Model (ROBI) of Autonomous Bicycle System. 107–107. 11 indexed citations
18.
Umashankar, Nita & V. Karthik. (2006). Multi-criteria Intelligent Dispatching Control of Automated Guided Vehicles in FMS. 1–6. 8 indexed citations
19.
Sharma, Himanshu, et al.. (2006). Simulation model for studying inherent stability characteristics of autonomous bicycle. 193–198. 10 indexed citations
20.
Umashankar, Nita & Himanshu Sharma. (2006). Adaptive Neuro - Fuzzy Controller for Stabilizing Autonomous Bicycle. 30. 1652–1657. 12 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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