Prabhat Pramanik

68 total papers · 1.4k total citations
49 papers, 1.1k citations indexed

About

Prabhat Pramanik is a scholar working on Soil Science, Plant Science and Industrial and Manufacturing Engineering. According to data from OpenAlex, Prabhat Pramanik has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Soil Science, 22 papers in Plant Science and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Prabhat Pramanik's work include Soil Carbon and Nitrogen Dynamics (22 papers), Composting and Vermicomposting Techniques (18 papers) and Agriculture, Soil, Plant Science (5 papers). Prabhat Pramanik is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (22 papers), Composting and Vermicomposting Techniques (18 papers) and Agriculture, Soil, Plant Science (5 papers). Prabhat Pramanik collaborates with scholars based in India, South Korea and United States. Prabhat Pramanik's co-authors include Goutam Kumar Ghosh, Pil Joo Kim, P. Banik, Prasun Ghosal, Sang-Yoon Kim, Young Ryun Chung, Md. Mozammel Haque, Sankar K. Pal, Paul L. E. Bodelier and Young Rock Chung and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Prabhat Pramanik

48 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Prabhat Pramanik 667 306 302 102 99 49 1.1k
F. M. Cabral 699 1.0× 381 1.2× 313 1.0× 133 1.3× 108 1.1× 52 1.3k
R. S. Antil 762 1.1× 325 1.1× 270 0.9× 177 1.7× 115 1.2× 58 1.1k
R. Mihelič 498 0.7× 233 0.8× 138 0.5× 98 1.0× 196 2.0× 40 913
R. Gutser 555 0.8× 381 1.2× 195 0.6× 115 1.1× 110 1.1× 50 960
Luisa Massaccesi 480 0.7× 282 0.9× 238 0.8× 243 2.4× 212 2.1× 51 1.2k
Bede S. Mickan 373 0.6× 453 1.5× 265 0.9× 195 1.9× 184 1.9× 68 1.4k
Bing Li 572 0.9× 466 1.5× 207 0.7× 223 2.2× 100 1.0× 52 1.3k
Laurent Thuriès 508 0.8× 285 0.9× 158 0.5× 113 1.1× 171 1.7× 42 944
Fernando Pomares 719 1.1× 402 1.3× 272 0.9× 248 2.4× 68 0.7× 36 1.3k
Rodolfo Canet 609 0.9× 394 1.3× 205 0.7× 290 2.8× 75 0.8× 39 1.1k

Countries citing papers authored by Prabhat Pramanik

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Pramanik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhat Pramanik

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