Vidula Meshram
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Currency Recognition and Detection 8
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- Smart Agriculture and AI 3
- Plant Physiology and Cultivation Studies 1
- Co-authors
- Kailas Patil (10 shared papers)Vishal Meshram (10 shared papers)Dinesh Bhagwan Hanchate (2 shared papers)Prawit Chumchu (4 shared papers)Amol Dhumane (3 shared papers)Shripad Bhatlawande (1 shared paper)Srinivas Ambala (1 shared paper)Prashanth Vijayaraghavan (1 shared paper)
- Journals
- Data in Brief (6 papers)IEEE Transactions on Human-Machine Systems (1 paper)Revue d intelligence artificielle (1 paper)Ingénierie des systèmes d information (1 paper)Software Impacts (1 paper)
- Partner nations
- IndiaThailandUnited States
In The Last Decade
Vidula Meshram
15 papers receiving 339 citations
Vidula Meshram's Hit Papers
Peers
Comparison fields: 5 of 83
- Human-Computer Interaction 35
- Analytical Chemistry 49
- Plant Science 156
- Cognitive Neuroscience 70
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Vidula Meshram
This map shows the geographic impact of Vidula Meshram'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 Vidula Meshram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidula Meshram more than expected).
Fields of papers citing papers by Vidula Meshram
This network shows the impact of papers produced by Vidula Meshram. 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 Vidula Meshram. The network helps show where Vidula Meshram may publish in the future.
Co-authors
The 13 scholars most cited alongside Vidula Meshram, 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 | Machine learning in agriculture domain: A state-of-art survey Hit paper breakdown → | 2021 | 213 |
| 2 | 2019 | 76 | |
| 3 | 2022 | 14 | |
| 4 | 2023 | 11 | |
| 5 | 2016 | 10 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Vidula Meshram
Vidula Meshram is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Cognitive Neuroscience, Computer Networks and Communications and Human-Computer Interaction, having authored 17 papers that have together received 356 indexed citations. Recurring topics across this work include Currency Recognition and Detection (8 papers), Smart Agriculture and AI (3 papers), Autism Spectrum Disorder Research (2 papers), Infection Control and Ventilation (1 paper), Green IT and Sustainability (1 paper), Hand Gesture Recognition Systems (1 paper), IoT and Edge/Fog Computing (1 paper) and Plant Physiology and Cultivation Studies (1 paper). The work is most often cited by research in Human-Computer Interaction (35 citations), Analytical Chemistry (49 citations), Plant Science (156 citations), Cognitive Neuroscience (70 citations) and Computer Vision and Pattern Recognition (61 citations). Vidula Meshram has collaborated with scholars based in India, Thailand and United States. Frequent co-authors include Kailas Patil, Vishal Meshram, Dinesh Bhagwan Hanchate, Prawit Chumchu, Amol Dhumane, Shripad Bhatlawande, Srinivas Ambala, Prashanth Vijayaraghavan, Ritesh Kumar and Sudeep D. Thepade. Their work appears in journals such as Data in Brief, IEEE Transactions on Human-Machine Systems, Revue d intelligence artificielle, Ingénierie des systèmes d information and Software Impacts.
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.