Tripti Bej

765 citations
39 papers · 427 · h-index 12

Impact in

    • Online Learning and Analytics
  • Education top 5%
    • Technology-Enhanced Education Studies
    • Online and Blended Learning
    • Innovative Teaching Methods
    • E-Learning and COVID-19

Papers in

    • Online and Blended Learning 8
    • Technology-Enhanced Education Studies 8
    • Innovative Teaching Methods 3
    • Child Development and Digital Technology 3
    • Online Learning and Analytics 6

Tripti Bej

32 papers receiving 402 citations

Peers

Tripti Bej
Comparison fields: 5 of 68
  • Computer Science Applications 62
  • Education 260
  • Information Systems and Management 55
  • Gender Studies 44
  • Information Systems 92
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Citations per field
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Citations per year

Countries citing papers authored by Tripti Bej

Since Specialization
Citations

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

Fields of papers citing papers by Tripti Bej

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Tripti Bej, 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 Tripti Bej Line = papers co-authored together Tripti Bej links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 202155
3 202048
4 202042
5 202026
6 202123
7 202016
8 202414
9 202013
10 202113
11 202113
12 202112
13 202210
14 20199
15 20149
16 20258
17 20226
18 20216
19 20225
20 20194

About Tripti Bej

Tripti Bej is a scholar working on Education, Computer Science Applications, Gender Studies, Management Science and Operations Research and Information Systems and Management, having authored 39 papers that have together received 427 indexed citations. Recurring topics across this work include Online and Blended Learning (8 papers), Technology-Enhanced Education Studies (8 papers), Online Learning and Analytics (6 papers), Gender and Technology in Education (6 papers), Multi-Criteria Decision Making (5 papers), Technology Adoption and User Behaviour (4 papers), Innovative Teaching Methods (3 papers) and Child Development and Digital Technology (3 papers). The work is most often cited by research in Computer Science Applications (62 citations), Education (260 citations), Information Systems and Management (55 citations), Gender Studies (44 citations) and Information Systems (92 citations). Tripti Bej has collaborated with scholars based in India, Greece and United States. Frequent co-authors include Arnab Kundu, Mary Frances Rice, Madhumangal Pal and Bijan Davvaz. Their work appears in journals such as Corporate Governance, Research and Practice in Technology Enhanced Learning, The Australian Journal of Language and Literacy, International Journal of Distance Education Technologies and International Journal of Computational Intelligence Systems.

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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