Neha Singh

926 total citations
58 papers, 731 citations indexed

About

Neha Singh is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Neha Singh has authored 58 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 22 papers in Materials Chemistry and 8 papers in Polymers and Plastics. Recurrent topics in Neha Singh's work include Gas Sensing Nanomaterials and Sensors (17 papers), ZnO doping and properties (17 papers) and Conducting polymers and applications (6 papers). Neha Singh is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (17 papers), ZnO doping and properties (17 papers) and Conducting polymers and applications (6 papers). Neha Singh collaborates with scholars based in India, United States and Taiwan. Neha Singh's co-authors include Fozia Z. Haque, Padmini Pandey, Ajay K. Banga, Nitu Singh, Yu‐Tai Tao, Hassan Fouad, Othman Y. Alothman, Ahmad Umar, Mohammad Ramzan Parra and Budhendra Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Coordination Chemistry Reviews and Pharmaceutical Research.

In The Last Decade

Neha Singh

58 papers receiving 708 citations

Peers

Neha Singh
Comparison fields: 5 of 93
  • Materials Chemistry 355
  • Electrical and Electronic Engineering 332
  • Polymers and Plastics 132
  • Biomedical Engineering 112
  • Electronic, Optical and Magnetic Materials 97
Replace Abhishek Dhar with:
Abhishek Dhar India
Haijuan Zhang China
Maryam Azizi Iran
Monika Singh India
Yumeng Wang China
Yi Pan China
Sangwon Kim South Korea
Lihua Cao China
Abhishek Verma India
Abhishek Dhar India View profile →
Citations per field, relative to Neha Singh
Neha Singh · 1×
Citations per year, relative to Neha Singh
Neha Singh · 1×

Countries citing papers authored by Neha Singh

Since Specialization
Citations

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

Fields of papers citing papers by Neha Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Singh. A scholar is included among the top collaborators of Neha Singh 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 Neha Singh. Neha Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 3
4 2
5 12
6 10
7
Substantiate the Effects of Reactive Dyes and Aloe Vera on the Ultra Violet Protective Properties on Cotton Woven and Knitted Fabrics
2
8 1
9 8
10 2
11
Quality of Service Based Impact ProviderModel for Composition of Web Services
1
12 12
13 5
14 42
15 9
16 20
17 25
18 28
19 8
20
COMPREHENSIVE RANKING INDEX FOR FLEXIBLE PAVEMENT USING FUZZY SETS MODEL
20

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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