Suprava Patnaik

108 total papers · 925 total citations
73 papers, 637 citations indexed

About

Suprava Patnaik is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Suprava Patnaik has authored 73 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 24 papers in Signal Processing and 21 papers in Media Technology. Recurrent topics in Suprava Patnaik's work include Speech and Audio Processing (13 papers), Image and Signal Denoising Methods (12 papers) and Advanced Image Processing Techniques (11 papers). Suprava Patnaik is often cited by papers focused on Speech and Audio Processing (13 papers), Image and Signal Denoising Methods (12 papers) and Advanced Image Processing Techniques (11 papers). Suprava Patnaik collaborates with scholars based in India, Japan and Nepal. Suprava Patnaik's co-authors include Jignesh N. Sarvaiya, Mukesh A. Zaveri, Pramod Kachare, Bhargav Appasani, Taha Selim Ustun, Hiren Mewada, Sourodip Ghosh, Nilanjan Roy, Y.P. Kosta and Vaishali Patel and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Energies.

In The Last Decade

Suprava Patnaik

63 papers receiving 586 citations

Author Peers

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

Author Last Decade Papers Cites
Suprava Patnaik 329 155 113 108 83 73 637
Michel Paindavoine 295 0.9× 86 0.6× 86 0.8× 109 1.0× 60 0.7× 100 677
Rui Lü 382 1.2× 127 0.8× 164 1.5× 84 0.8× 48 0.6× 40 702
Lei Sun 355 1.1× 137 0.9× 59 0.5× 48 0.4× 51 0.6× 65 660
Ping Jia 468 1.4× 66 0.4× 145 1.3× 99 0.9× 92 1.1× 55 782
K. Satya Prasad 324 1.0× 94 0.6× 145 1.3× 102 0.9× 28 0.3× 90 618
Siwei Luo 425 1.3× 145 0.9× 119 1.1× 95 0.9× 44 0.5× 105 757
Mohammad Hossein Sedaaghi 336 1.0× 120 0.8× 186 1.6× 62 0.6× 45 0.5× 64 771
Yong Li 459 1.4× 61 0.4× 157 1.4× 57 0.5× 74 0.9× 71 694
Deepak Mishra 317 1.0× 70 0.5× 77 0.7× 98 0.9× 38 0.5× 91 619
Mohammed Rziza 395 1.2× 129 0.8× 81 0.7× 70 0.6× 27 0.3× 89 647

Countries citing papers authored by Suprava Patnaik

Since Specialization
Citations

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

Fields of papers citing papers by Suprava Patnaik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suprava Patnaik

This figure shows the co-authorship network connecting the top 25 collaborators of Suprava Patnaik. A scholar is included among the top collaborators of Suprava Patnaik 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 Suprava Patnaik. Suprava Patnaik 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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