Rakshit Pathak

921 citations
27 papers · 530 · h-index 12

Impact in

Papers in

    • Graphene and Nanomaterials Applications 4
    • Biodiesel Production and Applications 3
    • Carbon and Quantum Dots Applications 5
    • Nanocluster Synthesis and Applications 3
    • Nanoparticles: synthesis and applications 3

Rakshit Pathak

25 papers receiving 498 citations

Peers

Rakshit Pathak
Comparison fields: 5 of 105
  • Hardware and Architecture 38
  • Biomaterials 74
  • Electrical and Electronic Engineering 178
  • Polymers and Plastics 43
  • Biomedical Engineering 124
Replace Xin Qiao with:
Xin Qiao China
Kai Shen China
Zhanzhan Liu China
Wenzhe Zhao China
Ji Eun Kim United States
Melih Günay Türkiye
Jiayuan Wang China
Xin Sun China
Abbas El-Gamal Egypt
Chuanyin Liu China
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Citations per field
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Xin Qiao · 1×
Citations per year

Countries citing papers authored by Rakshit Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Rakshit Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rakshit Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rakshit Pathak Line = papers co-authored together Rakshit Pathak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021117
2 202161
3 202356
4 202340
5 202339
6 202338
7 202336
8 202325
9 202421
10 202418
11 202016
12 202311
13 20258
14 20176
15 20205
16 20165
17 20245
18 20164
19 20214
20 20233

About Rakshit Pathak

Rakshit Pathak is a scholar working on Biomedical Engineering, Materials Chemistry, Organic Chemistry, Biomaterials and Polymers and Plastics, having authored 27 papers that have together received 530 indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (5 papers), Graphene and Nanomaterials Applications (4 papers), Polymer composites and self-healing (4 papers), Biodiesel Production and Applications (3 papers), Nanocluster Synthesis and Applications (3 papers), Lipid metabolism and biosynthesis (3 papers), Nanoparticles: synthesis and applications (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Hardware and Architecture (38 citations), Biomaterials (74 citations), Electrical and Electronic Engineering (178 citations), Polymers and Plastics (43 citations) and Biomedical Engineering (124 citations). Rakshit Pathak has collaborated with scholars based in India, United States and Slovakia. Frequent co-authors include Vinay Deep Punetha, Shalini Bhatt, Mayank Punetha, Yinqi Tang, Hongyang Jia, Hossein Valavi, Naveen Verma, Jinseok Lee, Acharya Balkrishna and Vedpriya Arya. Their work appears in journals such as Journal of Materials Science, International Journal of Biological Macromolecules, IEEE Journal of Solid-State Circuits, European Polymer Journal and Carbohydrate Polymers.

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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