Debajyoti Pal

4.0k total citations · 2 hit papers
98 papers, 2.7k citations indexed

About

Debajyoti Pal is a scholar working on Sociology and Political Science, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Debajyoti Pal has authored 98 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Sociology and Political Science, 28 papers in Information Systems and Management and 20 papers in Artificial Intelligence. Recurrent topics in Debajyoti Pal's work include Technology Adoption and User Behaviour (28 papers), Digital Marketing and Social Media (17 papers) and AI in Service Interactions (16 papers). Debajyoti Pal is often cited by papers focused on Technology Adoption and User Behaviour (28 papers), Digital Marketing and Social Media (17 papers) and AI in Service Interactions (16 papers). Debajyoti Pal collaborates with scholars based in Thailand, United States and India. Debajyoti Pal's co-authors include Vajirasak Vanijja, Suree Funilkul, Chonlameth Arpnikanondt, U.B. Desai, Borworn Papasratorn, Prasert Kanthamanon, Nipon Charoenkitkarn, Xiangmin Zhang, Saeed Siyal and Wichian Chutimaskul and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and Computers in Human Behavior.

In The Last Decade

Debajyoti Pal

92 papers receiving 2.6k citations

Hit Papers

Perceived usability evaluation of Microsoft Teams as an o... 2018 2026 2020 2023 2020 2018 50 100 150 200 250

Peers

Debajyoti Pal
Comparison fields: 5 of 145
  • Information Systems and Management 711
  • Artificial Intelligence 566
  • Sociology and Political Science 565
  • Information Systems 397
  • Marketing 310
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Citations per field, relative to Debajyoti Pal
Debajyoti Pal · 1×
Citations per year, relative to Debajyoti Pal
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Countries citing papers authored by Debajyoti Pal

Since Specialization
Citations

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

Fields of papers citing papers by Debajyoti Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debajyoti Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Debajyoti Pal. A scholar is included among the top collaborators of Debajyoti Pal 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 Debajyoti Pal. Debajyoti Pal 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
# Work Indexed citations
1 0
2 0
3 0
4 3
5 4
6 39
7 20
8 4
9 36
10 19
11 78
12 8
13 26
14
Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India breakdown →
291
15 64
16 5
17 39
18 14
19 99
20 5

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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