Mamta Devi

504 citations
12 papers · 361 · h-index 8

Impact in

Papers in

Mamta Devi

11 papers receiving 355 citations

Peers

Mamta Devi
Comparison fields: 5 of 56
  • Electronic, Optical and Magnetic Materials 83
  • Materials Chemistry 166
  • Polymers and Plastics 39
  • Biomedical Engineering 120
  • Cellular and Molecular Neuroscience 45
Replace Shoujun Yi with:
Shoujun Yi China
Fufei An United States
Joel Molina‐Reyes Mexico
Mohd Azhardin Ganayee India
Yue Guo China
Swetha Barkam United States
Mohsen Erouel Tunisia
Meirong Huang China
Yichao Bai China
Huize Wang Germany
Mamta Devi relative to Shoujun Yi China Shoujun Yi's profile →
Citations per field
00.5×5×10×14×
Shoujun Yi · 1×
Citations per year

Countries citing papers authored by Mamta Devi

Since Specialization
Citations

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

Fields of papers citing papers by Mamta Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2020102
2 202376
3 202159
4 202059
5 202333
6 202210
7 20237
8 20247
9
Physical and thermal properties of nano lead oxide loaded electrospun PAN nanofibres
20124
10 20253
11 20251
12 20240

About Mamta Devi

Mamta Devi is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Polymers and Plastics and Biomedical Engineering, having authored 12 papers that have together received 361 indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (4 papers), Carbon and Quantum Dots Applications (3 papers), Graphene research and applications (3 papers), Advanced Nanomaterials in Catalysis (2 papers), Conducting polymers and applications (2 papers), Electrochemical sensors and biosensors (2 papers), Neuroscience and Neural Engineering (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (83 citations), Materials Chemistry (166 citations), Polymers and Plastics (39 citations), Biomedical Engineering (120 citations) and Cellular and Molecular Neuroscience (45 citations). Mamta Devi has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Swati Sharma, Volker Strauß, Huize Wang, Manash J. Deka, Sanjay Upadhyay, Hemant Sankar Dutta, Purna K. Boruah, Manash R. Das, Niraj Kumar and Rameez Ahmad Mir. Their work appears in journals such as Journal of Energy Storage, ACS Applied Electronic Materials, The Journal of Physical Chemistry C, Advanced Materials and Particle & Particle Systems Characterization.

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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