Madhuri Thakur
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Materials Chemistry
- Co-authors
- Sibani Lisa BiswalMichael S. WongMark J. IsaacsonChandra ShakherC.J. TayChenggen QuanA. L. VyasNaoki Nitta
- Topics
- Optical measurement and interference techniques (5 papers)Advanced Measurement and Metrology Techniques (4 papers)Advancements in Battery Materials (4 papers)
- Cited by
- Electronic, Optical and Magnetic MaterialsComputer Vision and Pattern RecognitionAutomotive Engineering
- Partner nations
- IndiaSingaporeUnited States
In The Last Decade
Madhuri Thakur
14 papers receiving 498 citations
Peers
Comparison fields: 5 of 57
- Electrical and Electronic Engineering 310
- Electronic, Optical and Magnetic Materials 156
- Computer Vision and Pattern Recognition 125
- Mechanical Engineering 113
- Materials Chemistry 106
Countries citing papers authored by Madhuri Thakur
This map shows the geographic impact of Madhuri Thakur'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 Madhuri Thakur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhuri Thakur more than expected).
Fields of papers citing papers by Madhuri Thakur
This network shows the impact of papers produced by Madhuri Thakur. 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 Madhuri Thakur. The network helps show where Madhuri Thakur may publish in the future.
Co-authorship network of co-authors of Madhuri Thakur
This figure shows the co-authorship network connecting the top 25 collaborators of Madhuri Thakur. A scholar is included among the top collaborators of Madhuri Thakur 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 Madhuri Thakur. Madhuri Thakur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 52 | |
| 4 | 84 | |
| 5 | 106 | |
| 6 | 97 | |
| 7 | 17 | |
| 8 | 15 | |
| 9 | 27 | |
| 10 | 7 | |
| 11 | 29 | |
| 12 | 21 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 36 |
About Madhuri Thakur
Madhuri Thakur is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Mechanical Engineering, having authored 15 papers that have together received 517 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (5 papers), Advanced Measurement and Metrology Techniques (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (156 citations), Computer Vision and Pattern Recognition (125 citations) and Automotive Engineering (69 citations). Madhuri Thakur has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Sibani Lisa Biswal, Michael S. Wong, Mark J. Isaacson, Chandra Shakher, C.J. Tay, Chenggen Quan, A. L. Vyas, Naoki Nitta, Roderick B. Pernites and Di Du. Their work appears in journals such as Chemistry of Materials, Journal of Power Sources and Scientific Reports.
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.