Manish Kaushal

74 total papers · 2.3k total citations
43 papers, 376 citations indexed

About

Manish Kaushal is a scholar working on Fluid Flow and Transfer Processes, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Manish Kaushal has authored 43 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Fluid Flow and Transfer Processes, 9 papers in Biomaterials and 9 papers in Biomedical Engineering. Recurrent topics in Manish Kaushal's work include Rheology and Fluid Dynamics Studies (11 papers), Silk-based biomaterials and applications (6 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Manish Kaushal is often cited by papers focused on Rheology and Fluid Dynamics Studies (11 papers), Silk-based biomaterials and applications (6 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Manish Kaushal collaborates with scholars based in India, United States and Pakistan. Manish Kaushal's co-authors include Yogesh M. Joshi, Gordon Carlson, Santanu Dhara, Jayeeta Mitra, Nishant Chakravorty, Titash Mondal, Gaurav Aggarwal, Preetam Guha Ray, Anjali Mishra and Susmita Naskar and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Macromolecules.

In The Last Decade

Manish Kaushal

36 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
Manish Kaushal	95	83	65	63	46	43	376
Nafiseh Badiei	99 1.0×	224 2.7×	69 1.1×	40 0.6×	62 1.3×	19	445
Mayank Agarwal	35 0.4×	142 1.7×	62 1.0×	20 0.3×	47 1.0×	23	433
Heon E. Park	136 1.4×	113 1.4×	65 1.0×	75 1.2×	21 0.5×	21	401
F. Rodriguez	49 0.5×	181 2.2×	43 0.7×	68 1.1×	18 0.4×	27	363
Ankur Raval	167 1.8×	94 1.1×	69 1.1×	137 2.2×	33 0.7×	26	429
Daniela Arbeiter	216 2.3×	145 1.7×	61 0.9×	86 1.4×	11 0.2×	48	421
Ramón Rial	128 1.3×	231 2.8×	57 0.9×	42 0.7×	11 0.2×	30	410
Qiao Wu	50 0.5×	46 0.6×	89 1.4×	23 0.4×	7 0.2×	47	443
Cheng Hong	50 0.5×	109 1.3×	26 0.4×	14 0.2×	5 0.1×	30	350
Soheila Ali Akbari Ghavimi	147 1.5×	166 2.0×	27 0.4×	48 0.8×	14 0.3×	17	333

Countries citing papers authored by Manish Kaushal

Since Specialization

Citations

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

Fields of papers citing papers by Manish Kaushal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Kaushal

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