Manisha Kundu

51 total papers · 1.2k total citations
34 papers, 983 citations indexed

About

Manisha Kundu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Manisha Kundu has authored 34 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 10 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Manisha Kundu's work include Semiconductor materials and devices (12 papers), Quantum Dots Synthesis And Properties (5 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Manisha Kundu is often cited by papers focused on Semiconductor materials and devices (12 papers), Quantum Dots Synthesis And Properties (5 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Manisha Kundu collaborates with scholars based in India, Japan and United States. Manisha Kundu's co-authors include Ali Khosravi, S. K. Kulkarni, Noriyuki Miyata, Tsuyoshi Hasegawa, Kazuya Terabe, Masakazu Aono, Masakazu Ichikawa, Murali Sastry, S. K. Deshpande and Kazuhiro Yamamoto and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Manisha Kundu

31 papers receiving 946 citations

Author Peers

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

Author						Papers	Cites
Manisha Kundu	732	709	118	117	90	34	983
James Xiao	780 1.1×	622 0.9×	70 0.6×	66 0.6×	113 1.3×	37	955
Ha Jun Kim	706 1.0×	538 0.8×	76 0.6×	88 0.8×	112 1.2×	26	852
Young Kuk Lee	696 1.0×	616 0.9×	173 1.5×	137 1.2×	130 1.4×	51	998
Jannika Lauth	804 1.1×	582 0.8×	85 0.7×	103 0.9×	250 2.8×	45	1.0k
Han Yan	675 0.9×	532 0.8×	131 1.1×	188 1.6×	110 1.2×	41	950
Yanqiao Xu	1.0k 1.4×	721 1.0×	114 1.0×	84 0.7×	124 1.4×	53	1.2k
Wen Wen	718 1.0×	707 1.0×	71 0.6×	149 1.3×	115 1.3×	34	1.1k
Dohyun Kwak	715 1.0×	607 0.9×	84 0.7×	96 0.8×	127 1.4×	31	916
Nataliia S. Vorobeva	827 1.1×	509 0.7×	100 0.8×	112 1.0×	205 2.3×	24	953
Yemliha Altıntas	773 1.1×	736 1.0×	64 0.5×	86 0.7×	113 1.3×	40	987

Countries citing papers authored by Manisha Kundu

Since Specialization

Citations

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

Fields of papers citing papers by Manisha Kundu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Kundu

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