Nitin Upadhyay

75 total papers · 2.3k total citations
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 Blockchain Technology Applications and Security (6 papers). Nitin Upadhyay is often cited by papers focused on Advanced Software Engineering Methodologies (9 papers), Software Engineering Research (8 papers) and Blockchain Technology Applications and Security (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, Santosh K. Misra, Babita Gupta, David L. Hughes, Banita Lal, Crispin Coombs, Yanqing Duan, Ioanna Constantiou and Sujeet Kumar Sharma 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 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nitin Upadhyay 398 321 248 227 217 42 1.5k
Ramzi El‐Haddadeh 254 0.6× 339 1.1× 497 2.0× 261 1.1× 237 1.1× 57 1.7k
Rahul Dé 309 0.8× 453 1.4× 344 1.4× 219 1.0× 142 0.7× 56 1.6k
Joanna Paliszkiewicz 292 0.7× 320 1.0× 196 0.8× 186 0.8× 227 1.0× 81 1.7k
Richard Boateng 391 1.0× 358 1.1× 474 1.9× 232 1.0× 301 1.4× 100 1.7k
Babak Abedin 197 0.5× 425 1.3× 162 0.7× 183 0.8× 181 0.8× 74 1.5k
Timothy J. Ellis 405 1.0× 310 1.0× 195 0.8× 302 1.3× 204 0.9× 62 1.8k
Mary Tate 358 0.9× 361 1.1× 335 1.4× 326 1.4× 229 1.1× 95 1.6k
Mohammad Nabil Almunawar 379 1.0× 294 0.9× 213 0.9× 277 1.2× 138 0.6× 76 1.2k
Murali Raman 209 0.5× 403 1.3× 395 1.6× 205 0.9× 354 1.6× 107 1.7k
Ivo Blohm 179 0.4× 425 1.3× 255 1.0× 241 1.1× 191 0.9× 80 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

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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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