Sucheta Mondal

41 total papers · 590 total citations
27 papers, 427 citations indexed

About

Sucheta Mondal is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Sucheta Mondal has authored 27 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atomic and Molecular Physics, and Optics, 12 papers in Electrical and Electronic Engineering and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Sucheta Mondal's work include Magnetic properties of thin films (25 papers), Magneto-Optical Properties and Applications (10 papers) and Magnetic Properties and Applications (6 papers). Sucheta Mondal is often cited by papers focused on Magnetic properties of thin films (25 papers), Magneto-Optical Properties and Applications (10 papers) and Magnetic Properties and Applications (6 papers). Sucheta Mondal collaborates with scholars based in India, Japan and United States. Sucheta Mondal's co-authors include Anjan Barman, Sourav Sahoo, Anulekha De, Samiran Choudhury, Jaivardhan Sinha, Saswati Barman, Surya Narayan Panda, Y. Otani, Arnab Ganguly and Sam Ladak and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied Physics Letters.

In The Last Decade

Sucheta Mondal

27 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
Sucheta Mondal 356 190 136 109 96 27 427
S. Y. H. Lua 307 0.9× 171 0.9× 148 1.1× 62 0.6× 98 1.0× 21 368
Avinash Kumar Chaurasiya 321 0.9× 147 0.8× 124 0.9× 118 1.1× 88 0.9× 22 388
Zheng Gao 386 1.1× 199 1.0× 192 1.4× 123 1.1× 104 1.1× 25 456
José V. Anguita 339 1.0× 162 0.9× 99 0.7× 110 1.0× 170 1.8× 15 414
A. A. Grachev 347 1.0× 197 1.0× 225 1.7× 74 0.7× 63 0.7× 25 435
Daniel B. Gopman 410 1.2× 308 1.6× 171 1.3× 116 1.1× 120 1.3× 38 492
Duck‐Ho Kim 421 1.2× 262 1.4× 108 0.8× 222 2.0× 58 0.6× 26 449
Qunwen Leng 375 1.1× 208 1.1× 174 1.3× 126 1.2× 109 1.1× 42 483
C. L. Zha 437 1.2× 276 1.5× 121 0.9× 136 1.2× 79 0.8× 22 459
David Ciudad 237 0.7× 144 0.8× 195 1.4× 64 0.6× 171 1.8× 29 410

Countries citing papers authored by Sucheta Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Sucheta Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sucheta Mondal

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