Naval Bajpai

1.9k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Naval Bajpai is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, Naval Bajpai has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Marketing, 21 papers in Organizational Behavior and Human Resource Management and 15 papers in Sociology and Political Science. Recurrent topics in Naval Bajpai's work include Consumer Behavior in Brand Consumption and Identification (23 papers), Customer Service Quality and Loyalty (17 papers) and Consumer Retail Behavior Studies (17 papers). Naval Bajpai is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (23 papers), Customer Service Quality and Loyalty (17 papers) and Consumer Retail Behavior Studies (17 papers). Naval Bajpai collaborates with scholars based in India. Naval Bajpai's co-authors include Kushagra Kulshreshtha, Vikas Tripathi, Utkal Khandelwal, Gunjan Sharma, Vishal Vyas, Manoj Patwardhan and Pallavi Chaturvedi and has published in prestigious journals such as Technology in Society, British Food Journal and International Journal of Quality & Reliability Management.

In The Last Decade

Naval Bajpai

46 papers receiving 1.0k citations

Hit Papers

Business Research Methods 2009 2026 2014 2020 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Business Research Methods
    2009 571 citations Naval Bajpai profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naval Bajpai India 15 330 326 283 222 112 48 1.1k
Sulaiman Sajilan Malaysia 7 281 0.9× 243 0.7× 339 1.2× 222 1.0× 76 0.7× 15 1.1k
Arnd Vomberg Germany 8 242 0.7× 370 1.1× 253 0.9× 285 1.3× 91 0.8× 14 990
Aditya Halim Perdana Kusuma Putra Indonesia 20 327 1.0× 326 1.0× 291 1.0× 214 1.0× 159 1.4× 91 1.2k
Muafi Muafi Indonesia 17 234 0.7× 240 0.7× 206 0.7× 269 1.2× 134 1.2× 163 1.0k
Muhammad Imran Malik Pakistan 18 291 0.9× 237 0.7× 304 1.1× 178 0.8× 148 1.3× 60 1.1k
Selma Kadić‐Maglajlić Bosnia and Herzegovina 19 296 0.9× 345 1.1× 255 0.9× 444 2.0× 176 1.6× 48 1.2k
Farooq Anwar Pakistan 16 276 0.8× 307 0.9× 244 0.9× 304 1.4× 114 1.0× 33 1.0k
Rab Nawaz Lodhi Pakistan 18 349 1.1× 264 0.8× 259 0.9× 178 0.8× 262 2.3× 103 1.5k
Mireia Valverde Spain 19 477 1.4× 235 0.7× 251 0.9× 144 0.6× 110 1.0× 59 1.0k
Badri Munir Sukoco Indonesia 19 331 1.0× 176 0.5× 371 1.3× 342 1.5× 58 0.5× 70 1.4k

Countries citing papers authored by Naval Bajpai

Since Specialization
Citations

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

Fields of papers citing papers by Naval Bajpai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naval Bajpai

This figure shows the co-authorship network connecting the top 25 collaborators of Naval Bajpai. A scholar is included among the top collaborators of Naval Bajpai 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 Naval Bajpai. Naval Bajpai 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.
Tripathi, Vikas, et al.. (2025). Beyond adoption: a stressor-strain-outcome analysis of electric vehicle discontinuance in emerging markets. Transportation Planning and Technology. 1–22. 1 indexed citations
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Bajpai, Naval, et al.. (2023). The role of human emotions in memorable tourism experience and revisit intention. Tourism & Management Studies. 19(1). 15–27. 8 indexed citations
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Bajpai, Naval, et al.. (2023). Factors affecting attitude and purchase intention towards cause-related marketing: a systematic literature review using TCCM approach. International Review on Public and Nonprofit Marketing. 21(2). 479–509. 5 indexed citations
7.
Bajpai, Naval, et al.. (2022). Mapping the Research Pattern of Cause-related Marketing: A Bibliometric Analysis of Publications during 2000-2020. Journal of Nonprofit & Public Sector Marketing. 36(3). 271–298. 9 indexed citations
8.
Bajpai, Naval, et al.. (2021). Antecedents of hedonism affecting memorable tourism experience (MTE) leading to revisit intention in tourists. International Journal of Tourism Cities. 8(3). 588–602. 31 indexed citations
9.
Kulshreshtha, Kushagra, et al.. (2021). Factors underlying brand trust for affecting brand love leading to customers' purchase intention in Indian hypermarkets. International Journal of Electronic Marketing and Retailing. 12(3). 254–254. 3 indexed citations
10.
Khandelwal, Utkal, et al.. (2020). Anthropomorphism in advertising: the effect of media on audience attitude. Journal of Marketing Communications. 27(8). 799–815. 13 indexed citations
11.
Bajpai, Naval, et al.. (2020). Recapitulation of brand anthropomorphism: An innovating marketing strategy. The Marketing Review. 20(1). 143–156. 10 indexed citations
12.
Sharma, Gunjan, et al.. (2019). Foresight for online shopping behavior: a study of attribution for “what next syndrome”. foresight. 21(2). 285–317. 30 indexed citations
13.
Bajpai, Naval, et al.. (2017). Identifying and Prioritizing the Determinants of e-HRM: an AHP Approach. 74–83. 2 indexed citations
14.
Bajpai, Naval, et al.. (2017). Classifying customer 'wow', 'aha', and 'cool' affect through arousal: a study on mobile users. International Journal of Electronic Marketing and Retailing. 9(1). 37–37. 5 indexed citations
15.
Kulshreshtha, Kushagra, Vikas Tripathi, & Naval Bajpai. (2017). Impact of Brand Cues on Young Consumers’ Preference for Mobile Phones: A Conjoint Analysis and Simulation Modelling. Journal of Creative Communications. 12(3). 205–222. 16 indexed citations
16.
Kulshreshtha, Kushagra, et al.. (2017). Discriminating market segments using preferential green shift: a conjoint approach. foresight. 19(4). 386–408. 26 indexed citations
17.
Bajpai, Naval, et al.. (2016). Mapping Customer Delight by Using a Surprise Model. Indian Journal of Marketing. 46(10). 22–22. 8 indexed citations
18.
Khandelwal, Utkal, et al.. (2016). Intention to Purchase Hybrid Cars in India : A Study. Indian Journal of Marketing. 46(8). 37–37. 1 indexed citations
19.
Khandelwal, Utkal & Naval Bajpai. (2012). Price Fairness and Its Linear Dependence on Consumer Attitude: A Comparative Study in Metro and Non Metro City. European Journal of Business and Management. 4(10). 94–101. 11 indexed citations
20.
Bajpai, Naval. (2009). Business Statistics. 6 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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