Padmashree Desai
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- Teaching and Learning Programming 7
- Online Learning and Analytics 4
- Media Technology top 5%
- Experimental Learning in Engineering 12
- Engineering Education and Curriculum Development 6
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- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
- Architecture top 10%
- Information Systems top 10%
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- Problem and Project Based Learning 8
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- Biomedical and Engineering Education 4
- Co-authors
- Meenaxi M RaikarM. VijayalakshmiJagadeesh PujariP.G. TewariPrashant NarayankarV. Kamakshi PrasadN. H. AyachitAshok Shettar
- Journals
- SN Computer Science (2 papers)Journal of Physics Conference Series (2 papers)Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation (6 papers)
- Partner nations
- India
In The Last Decade
Padmashree Desai
37 papers receiving 313 citations
Peers
Comparison fields: 5 of 75
- Computer Science Applications 62
- Media Technology 78
- Computer Vision and Pattern Recognition 91
- Architecture 6
- Information Systems 63
Countries citing papers authored by Padmashree Desai
This map shows the geographic impact of Padmashree Desai'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 Padmashree Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padmashree Desai more than expected).
Fields of papers citing papers by Padmashree Desai
This network shows the impact of papers produced by Padmashree Desai. 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 Padmashree Desai. The network helps show where Padmashree Desai may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Padmashree Desai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 37 | |
| 10 | 2021 | 13 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 10 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2013 | 15 |
About Padmashree Desai
Padmashree Desai is a scholar working on Media Technology, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 331 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (12 papers), Problem and Project Based Learning (8 papers), Teaching and Learning Programming (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Engineering Education and Curriculum Development (6 papers), Image Retrieval and Classification Techniques (6 papers), Online Learning and Analytics (4 papers) and Biomedical and Engineering Education (4 papers). The work is most often cited by research in Computer Science Applications (62 citations), Media Technology (78 citations) and Computer Vision and Pattern Recognition (91 citations). Padmashree Desai has collaborated with scholars based in India. Frequent co-authors include Meenaxi M Raikar, M. Vijayalakshmi, Jagadeesh Pujari, P.G. Tewari, Prashant Narayankar, V. Kamakshi Prasad, N. H. Ayachit, Ashok Shettar, S. M. Meena and Prashant Kumar. Their work appears in journals such as SN Computer Science, Journal of Physics Conference Series and Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation.
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.