Ankit Vora

975 citations
25 papers · 834 · h-index 16

Impact in

Papers in

    • Advanced Polymer Synthesis and Characterization 10
    • Photopolymerization techniques and applications 4
    • Block Copolymer Self-Assembly 7
    • Machine Learning in Materials Science 4

Ankit Vora

25 papers receiving 818 citations

Peers

Ankit Vora
Comparison fields: 5 of 70
  • Molecular Medicine 80
  • Surfaces, Coatings and Films 87
  • Automotive Engineering 117
  • Biomaterials 119
  • Organic Chemistry 227
Replace Chien-hong Lin with:
Chien-hong Lin Taiwan
Zhenghao Li China
Yumin Xia China
Harald Wutzel Austria
Sijie Wang China
Jiayu Zhao China
Wenjun Li China
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Jing Han China
Ankit Vora relative to Chien-hong Lin Taiwan Chien-hong Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ankit Vora

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Vora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ankit Vora, 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 Ankit Vora Line = papers co-authored together Ankit Vora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015166
2 2014149
3 201188
4 200970
5 201760
6 201643
7 201337
8 200730
9 201523
10 201621
11 201520
12 201619
13 201118
14 201617
15 201915
16 201015
17 200910
18 20149
19 20138
20 20074

About Ankit Vora

Ankit Vora is a scholar working on Organic Chemistry, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Surfaces, Coatings and Films, having authored 25 papers that have together received 834 indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (10 papers), Block Copolymer Self-Assembly (7 papers), Photopolymerization techniques and applications (4 papers), Machine Learning in Materials Science (4 papers), Polymer Surface Interaction Studies (3 papers), Thin-Film Transistor Technologies (3 papers), Membrane Separation Technologies (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Molecular Medicine (80 citations), Surfaces, Coatings and Films (87 citations), Automotive Engineering (117 citations), Biomaterials (119 citations) and Organic Chemistry (227 citations). Ankit Vora has collaborated with scholars based in United States, Saudi Arabia and Bulgaria. Frequent co-authors include Dean C. Webster, Alshakim Nelson, Durdu Ö. Güney, Joshua M. Pearce, Jephias Gwamuri, A. K. Kulkarni, Nezih Pala, Musan Zhang, Rudy J. Wojtecki and Leslie E. Thompson. Their work appears in journals such as Macromolecules, Journal of Photopolymer Science and Technology, Polymer Chemistry, Journal of Membrane Science and ACS Applied Materials & Interfaces.

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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