Sanjit Maiti

194 total papers · 1.1k total citations
117 papers, 765 citations indexed

About

Sanjit Maiti is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and General Agricultural and Biological Sciences. According to data from OpenAlex, Sanjit Maiti has authored 117 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, Evolution, Behavior and Systematics, 28 papers in Agronomy and Crop Science and 20 papers in General Agricultural and Biological Sciences. Recurrent topics in Sanjit Maiti's work include Climate change impacts on agriculture (19 papers), Livestock Management and Performance Improvement (19 papers) and Agricultural risk and resilience (15 papers). Sanjit Maiti is often cited by papers focused on Climate change impacts on agriculture (19 papers), Livestock Management and Performance Improvement (19 papers) and Agricultural risk and resilience (15 papers). Sanjit Maiti collaborates with scholars based in India, United States and United Kingdom. Sanjit Maiti's co-authors include Neelesh Sharma, Debasri Mukherjee, M Gupta, Vijay Paul, G. R. Singh, K. Ponnusamy, R Sendhil, Mohammad Shah Alam, Ashim K. Datta and S. M. Deb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Climatic Change and Sustainability.

In The Last Decade

Sanjit Maiti

89 papers receiving 678 citations

Author Peers

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

Author Last Decade Papers Cites
Sanjit Maiti 153 112 108 88 75 117 765
Giovanni Di Matteo 42 0.3× 133 1.2× 67 0.6× 267 3.0× 39 0.5× 44 862
David C. Hall 42 0.3× 25 0.2× 108 1.0× 18 0.2× 37 0.5× 59 898
Dolapo Enahoro 185 1.2× 88 0.8× 202 1.9× 52 0.6× 70 0.9× 26 898
J. Sehgal 130 0.8× 171 1.5× 318 2.9× 52 0.6× 135 1.8× 68 695
Subhasis Mandal 87 0.6× 240 2.1× 47 0.4× 37 0.4× 141 1.9× 54 620
Karen Marshall 164 1.1× 39 0.3× 229 2.1× 31 0.4× 25 0.3× 49 829
Deanne Meyer 58 0.4× 105 0.9× 302 2.8× 55 0.6× 120 1.6× 40 893
Vanessa M. Cave 109 0.7× 107 1.0× 60 0.6× 15 0.2× 50 0.7× 60 723
VK Singh 51 0.3× 257 2.3× 45 0.4× 31 0.4× 37 0.5× 71 731
Luca Maria Battaglini 56 0.4× 135 1.2× 249 2.3× 73 0.8× 16 0.2× 81 810

Countries citing papers authored by Sanjit Maiti

Since Specialization
Citations

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

Fields of papers citing papers by Sanjit Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjit Maiti

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