Debasish Pradhan

98 total papers · 452 total citations
57 papers, 316 citations indexed

About

Debasish Pradhan is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Mechanics of Materials. According to data from OpenAlex, Debasish Pradhan has authored 57 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Molecular Biology and 6 papers in Mechanics of Materials. Recurrent topics in Debasish Pradhan's work include Numerical methods in engineering (5 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). Debasish Pradhan is often cited by papers focused on Numerical methods in engineering (5 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). Debasish Pradhan collaborates with scholars based in India, United States and Lebanon. Debasish Pradhan's co-authors include Prativa Biswasroy, K. A. Suri, Sunita Dhavale, L.M. Patnaik, Neela Nataraj, Amiya K. Pani, Anindya Pain, Ajeet Kumar Verma, Durga Madhab Kar and Sabuj Sahoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Mathematics with Applications and Applied Mathematical Modelling.

In The Last Decade

Debasish Pradhan

49 papers receiving 286 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Debasish Pradhan	68	49	48	38	31	57	316
Nikhil Kumar	43 0.6×	38 0.8×	54 1.1×	39 1.0×	21 0.7×	33	278
Reena Gupta	39 0.6×	75 1.5×	38 0.8×	26 0.7×	15 0.5×	41	335
K. P. Sharmila	84 1.2×	25 0.5×	51 1.1×	26 0.7×	14 0.5×	38	365
Akshay Sharma	44 0.6×	42 0.9×	34 0.7×	8 0.2×	65 2.1×	49	356
Ravi Jothi	25 0.4×	94 1.9×	33 0.7×	22 0.6×	6 0.2×	28	325
Ankit Kumar	79 1.2×	66 1.3×	32 0.7×	33 0.9×	10 0.3×	42	298
Bharat Mishra	105 1.5×	42 0.9×	40 0.8×	44 1.2×	14 0.5×	70	361
Deqin Wang	39 0.6×	136 2.8×	17 0.4×	36 0.9×	9 0.3×	34	312
S. Vijayalakshmi	50 0.7×	77 1.6×	19 0.4×	10 0.3×	9 0.3×	37	366
Uma Sharma	57 0.8×	78 1.6×	39 0.8×	44 1.2×	19 0.6×	29	345

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

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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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