Nabaneeta Saha

15 total papers · 832 total citations
13 papers, 608 citations indexed

About

Nabaneeta Saha is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nabaneeta Saha has authored 13 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Insect Science, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nabaneeta Saha's work include Biological Control of Invasive Species (5 papers), Insect-Plant Interactions and Control (5 papers) and Orthoptera Research and Taxonomy (4 papers). Nabaneeta Saha is often cited by papers focused on Biological Control of Invasive Species (5 papers), Insect-Plant Interactions and Control (5 papers) and Orthoptera Research and Taxonomy (4 papers). Nabaneeta Saha collaborates with scholars based in India and United States. Nabaneeta Saha's co-authors include Robert Donofrio, Ratul Saha, Lorelle L. Bestervelt, Gautam Aditya, Goutam Kumar Saha, Soumyajit Banerjee, Stephanie E. Hampton and Goutam Saha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Monitoring and Assessment and Biological Control.

In The Last Decade

Nabaneeta Saha

13 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Nabaneeta Saha 173 126 123 108 108 13 608
Renata Schama 146 0.8× 216 1.7× 131 1.1× 57 0.5× 284 2.6× 14 584
Thomas J. Mbise 240 1.4× 41 0.3× 123 1.0× 159 1.5× 110 1.0× 11 645
Emily Wheeler 81 0.5× 137 1.1× 147 1.2× 127 1.2× 24 0.2× 11 685
Anthony Bouétard 72 0.4× 94 0.7× 330 2.7× 61 0.6× 143 1.3× 12 692
Phaik Eem Lim 91 0.5× 160 1.3× 78 0.6× 199 1.8× 72 0.7× 17 572
Elizabeth Newton 70 0.4× 46 0.4× 222 1.8× 33 0.3× 84 0.8× 17 605
Abdoulaye Niang 203 1.2× 47 0.4× 152 1.2× 46 0.4× 108 1.0× 32 664
James Bochicchio 239 1.4× 228 1.8× 39 0.3× 105 1.0× 70 0.6× 5 553
Subrata Trivedi 263 1.5× 146 1.2× 89 0.7× 103 1.0× 92 0.9× 30 653
Anayansí Valderrama 80 0.5× 39 0.3× 333 2.7× 54 0.5× 117 1.1× 25 546

Countries citing papers authored by Nabaneeta Saha

Since Specialization
Citations

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

Fields of papers citing papers by Nabaneeta Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabaneeta Saha

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