Paramita Maiti

73 total papers · 824 total citations
52 papers, 651 citations indexed

About

Paramita Maiti is a scholar working on Atmospheric Science, Oceanography and Electrical and Electronic Engineering. According to data from OpenAlex, Paramita Maiti has authored 52 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 11 papers in Oceanography and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Paramita Maiti's work include Arctic and Antarctic ice dynamics (10 papers), Ocean Waves and Remote Sensing (9 papers) and Wave and Wind Energy Systems (6 papers). Paramita Maiti is often cited by papers focused on Arctic and Antarctic ice dynamics (10 papers), Ocean Waves and Remote Sensing (9 papers) and Wave and Wind Energy Systems (6 papers). Paramita Maiti collaborates with scholars based in India, Canada and United States. Paramita Maiti's co-authors include B. N. Mandal, Lalitha Biswas, P.V. Satyam, Puspendu Guha, Punarbasu Chaudhuri, Sanjoy Kumar Chanda, Subhas Chandra Santra, M. Sudarshan, Anindita Chakraborty and Jatis Kumar Dash and has published in prestigious journals such as The Journal of Immunology, Journal of Applied Physics and Small.

In The Last Decade

Paramita Maiti

48 papers receiving 626 citations

Author Peers

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

Author Last Decade Papers Cites
Paramita Maiti 106 103 95 88 74 52 651
Rajni Rajni 32 0.3× 76 0.7× 53 0.6× 77 0.9× 29 0.4× 79 652
María Álvarez 71 0.7× 47 0.5× 45 0.5× 47 0.5× 58 0.8× 23 572
Zhiliang Zhang 53 0.5× 30 0.3× 170 1.8× 162 1.8× 15 0.2× 40 657
Attila Nagy 86 0.8× 14 0.1× 88 0.9× 16 0.2× 26 0.4× 85 788
Ming Wang 217 2.0× 14 0.1× 25 0.3× 45 0.5× 10 0.1× 62 773
Zhiwen Yang 313 3.0× 128 1.2× 31 0.3× 72 0.8× 172 2.3× 67 787
Zhenhao Wang 92 0.9× 113 1.1× 19 0.2× 27 0.3× 23 0.3× 46 576
Shaopeng Wang 156 1.5× 14 0.1× 27 0.3× 41 0.5× 14 0.2× 40 782
Hongjin Zhang 208 2.0× 6 0.1× 25 0.3× 12 0.1× 42 0.6× 85 775
Daniel Rodríguez Pérez 39 0.4× 11 0.1× 23 0.2× 115 1.3× 32 0.4× 59 679

Countries citing papers authored by Paramita Maiti

Since Specialization
Citations

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

Fields of papers citing papers by Paramita Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paramita Maiti

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