Madhusmita Panda
Impact in
- Ocean Engineering top 5%
- Underwater Vehicles and Communication Systems
- Maritime Navigation and Safety
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- Robotic Path Planning Algorithms
Papers in
-
- Diamond and Carbon-based Materials Research 5
- Quantum Dots Synthesis And Properties 3
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- Metal and Thin Film Mechanics 4
- Co-authors
- Bikramaditya Das (4 shared papers)Bibhuti Bhusan Pati (3 shared papers)Bidyadhar Subudhi (2 shared papers)R. Krishnan (5 shared papers)Nanda Gopala Krishna (2 shared papers)Ramakanta Naik (3 shared papers)Udai P. Singh (3 shared papers)P. Magudapathy (1 shared paper)
- Journals
- Microchemical Journal (1 paper)Journal of Alloys and Compounds (1 paper)International Journal of Ethics and Systems (1 paper)Ceramics International (1 paper)Applied Surface Science (1 paper)
- Partner nations
- India
In The Last Decade
Madhusmita Panda
17 papers receiving 263 citations
Peers
Comparison fields: 5 of 51
- Ocean Engineering 99
- Computer Vision and Pattern Recognition 122
- Aerospace Engineering 56
- Mechanics of Materials 53
- Materials Chemistry 89
Countries citing papers authored by Madhusmita Panda
This map shows the geographic impact of Madhusmita Panda'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 Madhusmita Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhusmita Panda more than expected).
Fields of papers citing papers by Madhusmita Panda
This network shows the impact of papers produced by Madhusmita Panda. 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 Madhusmita Panda. The network helps show where Madhusmita Panda may publish in the future.
Co-authors
The 25 scholars most cited alongside Madhusmita Panda, 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 | 2020 | 136 | |
| 2 | 2019 | 29 | |
| 3 | 2018 | 25 | |
| 4 | 2016 | 23 | |
| 5 | 2020 | 20 | |
| 6 | 2019 | 12 | |
| 7 | 2016 | 8 | |
| 8 | 2020 | 5 | |
| 9 | 2018 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2017 | 1 |
About Madhusmita Panda
Madhusmita Panda is a scholar working on Materials Chemistry, Mechanics of Materials, Ocean Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 278 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (5 papers), Metal and Thin Film Mechanics (4 papers), Underwater Vehicles and Communication Systems (4 papers), Robotic Path Planning Algorithms (3 papers), Quantum Dots Synthesis And Properties (3 papers), Chalcogenide Semiconductor Thin Films (3 papers), Lubricants and Their Additives (2 papers) and Laser-Ablation Synthesis of Nanoparticles (2 papers). The work is most often cited by research in Ocean Engineering (99 citations), Computer Vision and Pattern Recognition (122 citations), Aerospace Engineering (56 citations), Mechanics of Materials (53 citations) and Materials Chemistry (89 citations). Madhusmita Panda has collaborated with scholars based in India. Frequent co-authors include Bikramaditya Das, Bibhuti Bhusan Pati, Bidyadhar Subudhi, R. Krishnan, Nanda Gopala Krishna, Ramakanta Naik, Udai P. Singh, P. Magudapathy, M. Kamruddin and S. Amirthapandian. Their work appears in journals such as Microchemical Journal, Journal of Alloys and Compounds, International Journal of Ethics and Systems, Ceramics International and Applied Surface 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.