Nitin Upadhyay

2.4k citations
42 papers · 1.5k indexed · 3 hit papers · h-index 10
Topics
Advanced Software Engineering Methodologies (9 papers)Software Engineering Research (8 papers)Digital Marketing and Social Media (6 papers)

In The Last Decade

Nitin Upadhyay

39 papers receiving 1.4k citations

Hit Papers

Impact of COVID-19 pandemic on information management res...2020202620222024202020202022250500750

Peers

Nitin Upadhyay
Comparison fields: 5 of 118
  • Information Systems 403
  • Sociology and Political Science 323
  • Information Systems and Management 251
  • Management Information Systems 232
  • Strategy and Management 222
Replace Rahul Dé with:
Rahul Dé India
Xiao Xiao Denmark
Sutirtha Chatterjee United States
Loo Geok Pee Singapore
Stan Karanasios Australia
S. M. Ferdous Azam Malaysia
Norita Ahmad United Arab Emirates
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Citations per field
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Citations per year

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
#WorkIndexed citations
1 3
2 3
3 10
4 0
5 6
6 23
7 71
8 13
9 1
10
Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and lifebreakdown →
752
11 3
12 2
13 2
14 1
15 8
16 3
17 5
18 8
19
Spiritual Intelligence and Organisational Effectiveness Ecosystem
2
20 1

About Nitin Upadhyay

Nitin Upadhyay is a scholar working on Software, Information Systems and Management and Information Systems, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (9 papers), Software Engineering Research (8 papers) and Digital Marketing and Social Media (6 papers). The work is most often cited by research in Information Systems and Management (251 citations), Management Information Systems (232 citations) and Business and International Management (51 citations). Nitin Upadhyay has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Yogesh K. Dwivedi, Shalini Upadhyay, Nripendra P. Rana, Banita Lal, Crispin Coombs, John S. Edwards, Yanqing Duan, Santosh K. Misra, Ramakrishnan Raman and Sujeet Kumar Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Technological Forecasting and Social Change and International Journal of Information Management.

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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