Pramod Rathor

17 total papers · 1.1k total citations
14 papers, 781 citations indexed

About

Pramod Rathor is a scholar working on Plant Science, Agronomy and Crop Science and Oceanography. According to data from OpenAlex, Pramod Rathor has authored 14 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 4 papers in Agronomy and Crop Science and 3 papers in Oceanography. Recurrent topics in Pramod Rathor's work include Plant Growth Enhancement Techniques (8 papers), Agronomic Practices and Intercropping Systems (4 papers) and Plant Stress Responses and Tolerance (3 papers). Pramod Rathor is often cited by papers focused on Plant Growth Enhancement Techniques (8 papers), Agronomic Practices and Intercropping Systems (4 papers) and Plant Stress Responses and Tolerance (3 papers). Pramod Rathor collaborates with scholars based in Canada, United Kingdom and France. Pramod Rathor's co-authors include Balakrishnan Prithiviraj, Malinda S. Thilakarathna, Linda Yuya Gorim, S. Vinodkumar, Lokanadha Rao Gunupuru, Jai Singh Patel, Punita Upadhyay, Svetlana N. Yurgel, Philippe Potin and Sophia L. Stone and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Plant and Soil.

In The Last Decade

Pramod Rathor

11 papers receiving 751 citations

Hit Papers

Seaweed extracts as biost... 2015 2026 2018 2022 2015 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Pramod Rathor 718 225 121 95 55 14 781
Silvia Silletti 774 1.1× 139 0.6× 139 1.1× 53 0.6× 38 0.7× 8 898
Rosalba Mireya Hernández-Herrera 640 0.9× 293 1.3× 63 0.5× 178 1.9× 65 1.2× 24 729
Omar Ali 548 0.8× 241 1.1× 63 0.5× 144 1.5× 30 0.5× 15 642
J.S. Patolia 485 0.7× 163 0.7× 97 0.8× 73 0.8× 28 0.5× 13 658
Fernando Santacruz‐Ruvalcaba 663 0.9× 235 1.0× 54 0.4× 137 1.4× 56 1.0× 38 856
S.W. Mattner 583 0.8× 198 0.9× 78 0.6× 94 1.0× 17 0.3× 35 666
Fabrice Houdusse 652 0.9× 88 0.4× 128 1.1× 31 0.3× 9 0.2× 14 841
Jeannette Vera 467 0.7× 221 1.0× 30 0.2× 260 2.7× 88 1.6× 8 683
Giulia Franzoni 694 1.0× 78 0.3× 134 1.1× 19 0.2× 37 0.7× 20 766
Sara San Francisco 485 0.7× 92 0.4× 193 1.6× 30 0.3× 14 0.3× 11 714

Countries citing papers authored by Pramod Rathor

Since Specialization
Citations

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

Fields of papers citing papers by Pramod Rathor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramod Rathor

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