Nitin Upadhyay

2.4k total citations · 3 hit papers
42 papers, 1.5k citations indexed

About

Nitin Upadhyay is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Nitin Upadhyay has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 16 papers in Artificial Intelligence and 10 papers in Sociology and Political Science. Recurrent topics in Nitin Upadhyay's work include Advanced Software Engineering Methodologies (9 papers), Software Engineering Research (8 papers) and Digital Marketing and Social Media (6 papers). Nitin Upadhyay is often cited by papers focused on Advanced Software Engineering Methodologies (9 papers), Software Engineering Research (8 papers) and Digital Marketing and Social Media (6 papers). Nitin Upadhyay collaborates with scholars based in India, United Kingdom and Saudi Arabia. Nitin Upadhyay's co-authors include Yogesh K. Dwivedi, Shalini Upadhyay, Sujeet Kumar Sharma, Nripendra P. Rana, Ramakrishnan Raman, John S. Edwards, Yanqing Duan, Ioanna Constantiou, Babita Gupta and Santosh K. Misra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technological Forecasting and Social Change and International Journal of Information Management.

In The Last Decade

Nitin Upadhyay

39 papers receiving 1.4k citations

Hit Papers

Impact of COVID-19 pandem... 2020 2026 2022 2024 2020 2020 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Upadhyay India 10 403 323 251 232 222 42 1.5k
Richard Boateng Ghana 21 395 1.0× 359 1.1× 478 1.9× 233 1.0× 301 1.4× 100 1.7k
Mary Tate New Zealand 19 358 0.9× 364 1.1× 335 1.3× 329 1.4× 231 1.0× 96 1.6k
Babak Abedin Australia 23 199 0.5× 432 1.3× 164 0.7× 186 0.8× 185 0.8× 72 1.5k
Babita Gupta United States 13 325 0.8× 522 1.6× 541 2.2× 315 1.4× 333 1.5× 29 2.0k
Rahul Dé India 17 311 0.8× 461 1.4× 350 1.4× 219 0.9× 143 0.6× 56 1.6k
Murali Raman Malaysia 23 210 0.5× 408 1.3× 399 1.6× 206 0.9× 355 1.6× 107 1.7k
Maria José Sousa Portugal 24 275 0.7× 305 0.9× 122 0.5× 251 1.1× 448 2.0× 143 2.3k
Mohammad Nabil Almunawar Brunei 15 382 0.9× 298 0.9× 214 0.9× 278 1.2× 138 0.6× 76 1.2k
Sanjay Mohapatra India 14 188 0.5× 414 1.3× 249 1.0× 286 1.2× 459 2.1× 97 2.3k
Ivo Blohm Switzerland 19 179 0.4× 427 1.3× 256 1.0× 243 1.0× 190 0.9× 81 1.7k

Countries citing papers authored by Nitin Upadhyay

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Upadhyay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Upadhyay

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Upadhyay. A scholar is included among the top collaborators of Nitin Upadhyay 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 Nitin Upadhyay. Nitin Upadhyay 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.
Upadhyay, Nitin, et al.. (2025). The Role of Environmental Concerns and Self-Expression in Ethical Fashion Consumption: A Mediated Model of Consumer Values. Journal of Global Marketing. 38(5). 487–509. 3 indexed citations
2.
Upadhyay, Nitin & Shalini Upadhyay. (2025). The dark side of non-fungible tokens: understanding risks in the NFT marketplace from a fraud triangle perspective. Financial Innovation. 11(1). 3 indexed citations
3.
Upadhyay, Nitin, et al.. (2024). Navigating the Learning Landscape: Social Cognition and Task-Technology Fit as Predictors for MOOCs Continuance Intention by Sales Professionals. The International Review of Research in Open and Distributed Learning. 25(1). 24–44.
4.
Upadhyay, Nitin. (2024). Business models for the Blockchain: An empirical analysis. SHILAP Revista de lepidopterología. 4(2). 100082–100082. 10 indexed citations
5.
Upadhyay, Shalini & Nitin Upadhyay. (2023). Mapping crisis communication in the communication research: what we know and what we don’t know. Humanities and Social Sciences Communications. 10(1). 6 indexed citations
6.
Upadhyay, Nitin, et al.. (2023). Virtual healthcare in the new normal: Indian healthcare consumers adoption of electronic government telemedicine service. Government Information Quarterly. 40(2). 101800–101800. 23 indexed citations
7.
Upadhyay, Nitin, et al.. (2023). Why can’t we help but love mobile banking chatbots? Perspective of stimulus-organism-response. Journal of Financial Services Marketing. 29(3). 855–872. 13 indexed citations
8.
Upadhyay, Nitin, et al.. (2023). Examining Indian consumer pro-environment purchase intention of electric vehicles: Perspective of stimulus-organism-response. Technological Forecasting and Social Change. 189. 122344–122344. 71 indexed citations
9.
Upadhyay, Shalini, et al.. (2023). Voices in the storm: Analyzing MakeMyTrip's crisis communication during COVID‐19 through a multivocality lens. Journal of Contingencies and Crisis Management. 32(1). 1 indexed citations
10.
Dwivedi, Yogesh K., David L. Hughes, Crispin Coombs, et al.. (2020). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management. 55. 102211–102211. 752 indexed citations breakdown →
11.
Upadhyay, Nitin. (2019). Transforming Social Media Business Models Through Blockchain. 3 indexed citations
12.
Upadhyay, Nitin. (2019). Blockchain Enabled Cyber-Physical Society Framework. Procedia Computer Science. 162. 53–58. 2 indexed citations
13.
Upadhyay, Nitin, et al.. (2018). Virtual Instrument for Power Quality Measurement. 1–6. 2 indexed citations
14.
Upadhyay, Shalini & Nitin Upadhyay. (2018). Fuzzy Multi-Criteria Framework for Measuring Spiritual Intelligence in a Data Driven Organization. Procedia Computer Science. 139. 204–211. 1 indexed citations
15.
Upadhyay, Nitin & Shalini Upadhyay. (2017). #RighttoBreathe why not? Social Media Analysis of the Local in the Capital City of India. Procedia Computer Science. 108. 2542–2546. 8 indexed citations
16.
Upadhyay, Shalini & Nitin Upadhyay. (2017). Future Directions and a Roadmap in Digital Computational Humanities for a Data Driven Organization. Procedia Computer Science. 122. 1055–1060. 3 indexed citations
17.
Upadhyay, Nitin. (2016). SDMF: Systematic Decision-making Framework for Evaluation of Software Architecture. Procedia Computer Science. 91. 599–608. 8 indexed citations
18.
Upadhyay, Shalini, et al.. (2015). Spiritual Intelligence and Organisational Effectiveness Ecosystem. 2 indexed citations
19.
Upadhyay, Nitin, et al.. (2011). Concurrent usability evaluation and design of software component: a digraph and matrix approach. IET Software. 5(2). 188–200. 2 indexed citations
20.
Upadhyay, Nitin, et al.. (2010). CFMEA: Concurrent Failure Mode and Effect Analysis. 399–405. 1 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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