Eva Gupta

957 citations
36 papers · 716 · h-index 15

Impact in

Papers in

Eva Gupta

34 papers receiving 699 citations

Peers

Eva Gupta
Comparison fields: 5 of 100
  • Polymers and Plastics 153
  • Biomaterials 89
  • Automotive Engineering 74
  • Dermatology 41
  • Biomedical Engineering 186
Replace Joerg Fischer with:
Joerg Fischer Austria
Zhuoran Yang China
С. А. Гусев Russia
Na Liang China
Ziyi Zhou China
Bernard Durand France
Xiaoqing Guo China
Gaihong Wu China
Yuxuan Xu China
Eva Gupta relative to Joerg Fischer Austria Joerg Fischer's profile →
Citations per field
00.5×3.4×
Joerg Fischer · 1×
Citations per year

Countries citing papers authored by Eva Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Eva Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019155
2 202177
3 202048
4 201940
5 201536
6 202034
7 202129
8 201428
9 202124
10 202124
11 202118
12 202117
13 202416
14 202116
15 202115
16 202113
17 202013
18 202113
19 202011
20 202111

About Eva Gupta

Eva Gupta is a scholar working on Mechanical Engineering, Biomedical Engineering, Biomaterials, Polymers and Plastics and Electrical and Electronic Engineering, having authored 36 papers that have together received 716 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (5 papers), Polymer composites and self-healing (4 papers), Carbon Nanotubes in Composites (3 papers), Aluminum Alloys Composites Properties (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), COVID-19 epidemiological studies (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Lubricants and Their Additives (2 papers). The work is most often cited by research in Polymers and Plastics (153 citations), Biomaterials (89 citations), Automotive Engineering (74 citations), Dermatology (41 citations) and Biomedical Engineering (186 citations). Eva Gupta has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include Nand Jee Kanu, Umesh Kumar Vates, Gyanendra Kumar Singh, Bhupendra Prakash Sharma, Girish Chandra Verma, Winston Tan, Troy H. Guthrie, Sachin Chavan, Han W. Tun and Jason C. Sluzevich. Their work appears in journals such as Composites Part A Applied Science and Manufacturing, Materials Research Express, RSC Advances, BMC Urology and Planetary and Space Science.

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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