Bibhya Sharma
Impact in
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- Online Learning and Analytics
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 51
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- Control and Dynamics of Mobile Robots 35
- Co-authors
- Jito Vanualailai (52 shared papers)Pritika Reddy (18 shared papers)Kaylash Chaudhary (26 shared papers)Avinesh Prasad (32 shared papers)Sandeep A. Kumar (16 shared papers)Anjeela D. Jokhan (6 shared papers)Shaveen Singh (4 shared papers)Bimal Aklesh Kumar (4 shared papers)
In The Last Decade
Bibhya Sharma
125 papers receiving 1.6k citations
Bibhya Sharma's Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Science Applications 215
- Computer Vision and Pattern Recognition 490
- Control and Systems Engineering 420
- Information Systems 395
- Education 464
Countries citing papers authored by Bibhya Sharma
This map shows the geographic impact of Bibhya Sharma'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 Bibhya Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bibhya Sharma more than expected).
Fields of papers citing papers by Bibhya Sharma
This network shows the impact of papers produced by Bibhya Sharma. 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 Bibhya Sharma. The network helps show where Bibhya Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Bibhya Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Digital Literacy Hit paper breakdown → | 2020 | 222 |
| 2 | 2021 | 62 | |
| 3 | 2018 | 58 | |
| 4 | 2019 | 57 | |
| 5 | 2015 | 45 | |
| 6 | 2020 | 37 | |
| 7 | 2022 | 36 | |
| 8 | 2012 | 32 | |
| 9 | SMS Based Flood Monitoring and Early Warning System | 2015 | 32 |
| 10 | 2017 | 31 | |
| 11 | 2018 | 31 | |
| 12 | 2020 | 31 | |
| 13 | 2017 | 31 | |
| 14 | 2022 | 30 | |
| 15 | 2021 | 30 | |
| 16 | 2021 | 29 | |
| 17 | 2012 | 29 | |
| 18 | Flocking of Multi-agents in Constrained Environments | 2009 | 27 |
| 19 | 2021 | 27 | |
| 20 | 2015 | 27 |
About Bibhya Sharma
Bibhya Sharma is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications, Education and Information Systems, having authored 136 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (51 papers), Control and Dynamics of Mobile Robots (35 papers), Distributed Control Multi-Agent Systems (28 papers), Mobile Learning in Education (15 papers), Online Learning and Analytics (10 papers), Robotic Locomotion and Control (10 papers), Online and Blended Learning (10 papers) and Digital literacy in education (9 papers). The work is most often cited by research in Computer Science Applications (215 citations), Computer Vision and Pattern Recognition (490 citations), Control and Systems Engineering (420 citations), Information Systems (395 citations) and Education (464 citations). Bibhya Sharma has collaborated with scholars based in Fiji, Australia and Brazil. Frequent co-authors include Jito Vanualailai, Pritika Reddy, Kaylash Chaudhary, Avinesh Prasad, Sandeep A. Kumar, Anjeela D. Jokhan, Shaveen Singh, Bimal Aklesh Kumar, Shaneel Chandra and Shriram Raghunathan. Their work appears in journals such as IEEE Access, Education and Information Technologies, Robotica, International Journal of Robust and Nonlinear Control and Engineered Science.
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.