Debasish Pradhan

456 citations
57 papers · 318 indexed · h-index 9
Topics
Advanced Steganography and Watermarking Techniques (5 papers)Advanced Numerical Methods in Computational Mathematics (5 papers)Numerical methods in engineering (5 papers)

In The Last Decade

Debasish Pradhan

50 papers receiving 288 citations

Peers

Debasish Pradhan
Comparison fields: 5 of 111
  • Plant Science 69
  • Molecular Biology 49
  • Food Science 49
  • Pharmacology 38
  • Computer Vision and Pattern Recognition 31
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Citations per field
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Citations per year

Countries citing papers authored by Debasish Pradhan

Since Specialization
Citations

This map shows the geographic impact of Debasish Pradhan'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 Debasish Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debasish Pradhan more than expected).

Fields of papers citing papers by Debasish Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debasish Pradhan. 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 Debasish Pradhan. The network helps show where Debasish Pradhan may publish in the future.

Co-authorship network of co-authors of Debasish Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Debasish Pradhan. A scholar is included among the top collaborators of Debasish Pradhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debasish Pradhan. Debasish Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 9
4 1
5 2
6 1
7 0
8 5
9 4
10 1
11 2
12 4
13
High Payload Adaptive Audio Watermarking based on Cepstral Feature Modification.
5
14 8
15 1
16
Golden Heart of the Nature: Piper betle L.
99
17
Antidiabetic and Antioxidant Activity of Ethanolic Extract of Sapindus Trifoliatus Linn.
6
18
Anticancer effect of Sapindus trifoliatus on human breast cancer cell lines.
5
19
Anticancer activity of biflavonoids from Lonicera japonica and Benincasa hispida on human cancer cell lines.
4
20 3

About Debasish Pradhan

Debasish Pradhan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Microbiology and Biotechnology, having authored 57 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Numerical methods in engineering (5 papers). The work is most often cited by research in Periodontics (30 citations), Drug Discovery (1 citation) and Pharmacology (38 citations). Debasish Pradhan has collaborated with scholars based in India, United States and Lebanon. Frequent co-authors include K. A. Suri, Prativa Biswasroy, Sunita Dhavale, L.M. Patnaik, Neela Nataraj, Amiya K. Pani, Durga Madhab Kar, Sabuj Sahoo, Ajeet Kumar Verma and Anindya Pain. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Mathematics with Applications and Applied Mathematical Modelling.

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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