Mayank Dubey
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
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- Gas Sensing Nanomaterials and Sensors
- Chalcogenide Semiconductor Thin Films
- Advanced Memory and Neural Computing
Papers in
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- Gas Sensing Nanomaterials and Sensors 8
- Advanced Memory and Neural Computing 4
- Chalcogenide Semiconductor Thin Films 4
- Perovskite Materials and Applications 3
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- 2D Materials and Applications 6
- MXene and MAX Phase Materials 4
- Quantum Dots Synthesis And Properties 3
- Co-authors
- Shaibal Mukherjee (20 shared papers)Chandrabhan Patel (15 shared papers)Sharath Sriram (6 shared papers)Victor V. Atuchin∥⊥ (4 shared papers)Myo Than Htay (3 shared papers)Sushil Pandey (2 shared papers)Vikash Verma (3 shared papers)Shrish Nath Upadhyay (1 shared paper)
In The Last Decade
Mayank Dubey
25 papers receiving 345 citations
Peers
Comparison fields: 5 of 47
- Bioengineering 81
- Electrical and Electronic Engineering 243
- Materials Chemistry 149
- Electrochemistry 18
- Biomedical Engineering 96
Countries citing papers authored by Mayank Dubey
This map shows the geographic impact of Mayank Dubey'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 Mayank Dubey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Dubey more than expected).
Fields of papers citing papers by Mayank Dubey
This network shows the impact of papers produced by Mayank Dubey. 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 Mayank Dubey. The network helps show where Mayank Dubey may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayank Dubey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 90 | |
| 2 | 2022 | 68 | |
| 3 | 2023 | 37 | |
| 4 | 2021 | 24 | |
| 5 | 2024 | 22 | |
| 6 | 2022 | 22 | |
| 7 | 2017 | 16 | |
| 8 | 2024 | 14 | |
| 9 | 2023 | 11 | |
| 10 | 2025 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2017 | 2 |
About Mayank Dubey
Mayank Dubey is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Agronomy and Crop Science, Genetics and Molecular Biology, having authored 27 papers that have together received 347 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (8 papers), 2D Materials and Applications (6 papers), Advanced Memory and Neural Computing (4 papers), Chalcogenide Semiconductor Thin Films (4 papers), MXene and MAX Phase Materials (4 papers), Quantum Dots Synthesis And Properties (3 papers), Genetic and phenotypic traits in livestock (3 papers) and Perovskite Materials and Applications (3 papers). The work is most often cited by research in Bioengineering (81 citations), Electrical and Electronic Engineering (243 citations), Materials Chemistry (149 citations), Electrochemistry (18 citations) and Biomedical Engineering (96 citations). Mayank Dubey has collaborated with scholars based in India, Australia and Japan. Frequent co-authors include Shaibal Mukherjee, Chandrabhan Patel, Sharath Sriram, Victor V. Atuchin∥⊥, Myo Than Htay, Sushil Pandey, Vikash Verma, Shrish Nath Upadhyay, Srimanta Pakhira and Rohit G. Jadhav. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Electron Devices, ACS Applied Nano Materials, Process Biochemistry and Journal of Electronic Materials.
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.