Mohit Vishnoi

51 total papers · 533 total citations
37 papers, 347 citations indexed

About

Mohit Vishnoi is a scholar working on Mechanical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Mohit Vishnoi has authored 37 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 15 papers in Materials Chemistry and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Mohit Vishnoi's work include High-Temperature Coating Behaviors (11 papers), Advanced Surface Polishing Techniques (10 papers) and Advanced Machining and Optimization Techniques (10 papers). Mohit Vishnoi is often cited by papers focused on High-Temperature Coating Behaviors (11 papers), Advanced Surface Polishing Techniques (10 papers) and Advanced Machining and Optimization Techniques (10 papers). Mohit Vishnoi collaborates with scholars based in India, Saudi Arabia and Oman. Mohit Vishnoi's co-authors include Qasim Murtaza, Paras Kumar, Anuj Bansal, Vikrant Singh, Vidit Sharma, S. Murugan, Samandeep Kaur, Mayank Rai, Anil Kumar Singla and Vikrant Singh and has published in prestigious journals such as Surface and Coatings Technology, Ceramics International and Journal of Materials Research and Technology.

In The Last Decade

Mohit Vishnoi

31 papers receiving 331 citations

Author Peers

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

Author						Papers	Cites
Mohit Vishnoi	227	109	97	97	73	37	347
N. Mesrati	160 0.7×	70 0.6×	45 0.5×	104 1.1×	48 0.7×	27	360
Zuoyan Ye	204 0.9×	139 1.3×	43 0.4×	159 1.6×	58 0.8×	27	336
Vesselin Stoilov	176 0.8×	88 0.8×	52 0.5×	196 2.0×	58 0.8×	27	345
J. Komotori	226 1.0×	150 1.4×	73 0.8×	156 1.6×	108 1.5×	23	366
L. Dorn	288 1.3×	114 1.0×	76 0.8×	65 0.7×	26 0.4×	25	369
Hongyan Shi	235 1.0×	52 0.5×	163 1.7×	68 0.7×	153 2.1×	47	365
José Roberto Tavares Branco	144 0.6×	160 1.5×	49 0.5×	181 1.9×	41 0.6×	32	374
Minjie Song	182 0.8×	43 0.4×	47 0.5×	46 0.5×	67 0.9×	28	324
Ning Dang	214 0.9×	80 0.7×	46 0.5×	213 2.2×	29 0.4×	30	373
Juan Ignacio Ahuir‐Torres	237 1.0×	161 1.5×	44 0.5×	71 0.7×	56 0.8×	35	356

Countries citing papers authored by Mohit Vishnoi

Since Specialization

Citations

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

Fields of papers citing papers by Mohit Vishnoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Vishnoi

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