Madhusmita Panda

486 citations
23 papers · 378 · h-index 9

Impact in

Papers in

    • Underwater Vehicles and Communication Systems 7
    • Maritime Navigation and Safety 3
    • Diamond and Carbon-based Materials Research 5
    • Quantum Dots Synthesis And Properties 3
    • Copper-based nanomaterials and applications 2

Madhusmita Panda

22 papers receiving 363 citations

Peers

Madhusmita Panda
Comparison fields: 5 of 62
  • Ocean Engineering 123
  • Computer Vision and Pattern Recognition 152
  • Aerospace Engineering 72
  • Control and Systems Engineering 55
  • Mechanics of Materials 54
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Citations per year

Countries citing papers authored by Madhusmita Panda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Madhusmita Panda Line = papers co-authored together Madhusmita Panda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020155
2 201951
3 201929
4 201828
5 201623
6 202021
7 201916
8 202010
9 20169
10 20208
11 20184
12 20254
13 20193
14 20213
15 20243
16 20242
17 20232
18 20142
19 20212
20 20201

About Madhusmita Panda

Madhusmita Panda is a scholar working on Ocean Engineering, Materials Chemistry, Computer Vision and Pattern Recognition, Mechanics of Materials and Radiation, having authored 23 papers that have together received 378 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (7 papers), Diamond and Carbon-based Materials Research (5 papers), Robotic Path Planning Algorithms (5 papers), Metal and Thin Film Mechanics (4 papers), Quantum Dots Synthesis And Properties (3 papers), Maritime Navigation and Safety (3 papers), Chalcogenide Semiconductor Thin Films (3 papers) and Copper-based nanomaterials and applications (2 papers). The work is most often cited by research in Ocean Engineering (123 citations), Computer Vision and Pattern Recognition (152 citations), Aerospace Engineering (72 citations), Control and Systems Engineering (55 citations) and Mechanics of Materials (54 citations). Madhusmita Panda has collaborated with scholars based in India and United States. Frequent co-authors include Bikramaditya Das, Bibhuti Bhusan Pati, Bidyadhar Subudhi, R. Krishnan, Nanda Gopala Krishna, N. C. Mishra, Geramilla Mangamma, Sankarakumar Amirthapandian, Ramakanta Naik and P. Magudapathy. Their work appears in journals such as RSC Advances, Ceramics International, Applied Surface Science, Microchemical Journal and Journal of Alloys and Compounds.

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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