Dip Nandi

58 papers receiving 552 citations

Peers

Dip Nandi
Comparison fields: 5 of 97
  • Computer Science Applications 140
  • Developmental and Educational Psychology 143
  • Education 255
  • Health Information Management 26
  • Neurology 37
Replace Rafael Duque with:
Rafael Duque Spain
Mazeyanti Mohd Ariffin Malaysia
Punnarumol Temdee Thailand
Muhammad Awais Pakistan
K. Meenakshi India
Abdalla Alameen Saudi Arabia
Soha Rawas Lebanon
Kuniaki Yajima Japan
Xizhe Wang China
Hosam F. El-Sofany Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Dip Nandi

Since Specialization
Citations

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

Fields of papers citing papers by Dip Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dip Nandi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dip Nandi Line = papers co-authored together Dip Nandi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012143
2 201241
3 201839
4 202338
5
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201129
6 201526
7 201924
8 201322
9 201821
10 200918
11 202316
12 202111
13 202110
14 201510
15 202110
16 202010
17 202010
18 20229
19 20229
20 20248

About Dip Nandi

Dip Nandi is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 607 indexed citations. Recurring topics across this work include Online Learning and Analytics (13 papers), Online and Blended Learning (10 papers), Blockchain Technology Applications and Security (8 papers), Artificial Intelligence in Healthcare (6 papers), Imbalanced Data Classification Techniques (6 papers), Innovative Teaching and Learning Methods (5 papers), Software Engineering Research (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Computer Science Applications (140 citations), Developmental and Educational Psychology (143 citations), Education (255 citations), Health Information Management (26 citations) and Neurology (37 citations). Dip Nandi has collaborated with scholars based in Bangladesh, Malaysia and Australia. Frequent co-authors include Margaret Hamilton, James Harland, Shanton Chang, Sandrine Balbo, Hidayat Ullah, Riashat Islam, A F M Saifuddin Saif, Md. Kishor Morol, Sakib Mahmud and Daryl D’Souza. Their work appears in journals such as Scientific Reports, International Journal of Modern Education and Computer Science, Australasian Journal of Educational Technology, Data in Brief and Computers & Electrical Engineering.

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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