Hardik J. Pandya
- Bioengineering top 5%
- Analytical Chemistry and Sensors 8
- Biomedical Engineering top 5%
- Microfluidic and Bio-sensing Technologies 9
- Advanced Chemical Sensor Technologies 7
- Photoacoustic and Ultrasonic Imaging 7
- Clinical Biochemistry top 5%
- Biophysics top 5%
- Molecular Medicine top 10%
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- Neuroscience and Neural Engineering 12
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- Gas Sensing Nanomaterials and Sensors 9
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- Optical Imaging and Spectroscopy Techniques 7
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- Cellular Mechanics and Interactions 6
- Co-authors
- Jaydev P. DesaiBhagaban BeheraA. L. VyasSudhir ChandraKihan ParkHadi ShafieeDeepak PadmanabhanDavid J. Foran
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Hardik J. Pandya
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Bioengineering 103
- Biomedical Engineering 795
- Clinical Biochemistry 88
- Biophysics 72
- Molecular Medicine 42
Countries citing papers authored by Hardik J. Pandya
This map shows the geographic impact of Hardik J. Pandya'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 Hardik J. Pandya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hardik J. Pandya more than expected).
Fields of papers citing papers by Hardik J. Pandya
This network shows the impact of papers produced by Hardik J. Pandya. 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 Hardik J. Pandya. The network helps show where Hardik J. Pandya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hardik J. Pandya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 11 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 103 | |
| 14 | 2019 | 50 | |
| 15 | 2019 | 63 | |
| 16 | 2017 | 54 | |
| 17 | 2016 | 13 | |
| 18 | 2015 | 45 | |
| 19 | A Novel Sensor for VOCs Using Nanostructured ZnO and MEMS Technologies | 2012 | 1 |
| 20 | Fabrication and Characterization of Ethanol Sensor Based on RF Sputtered ITO Films | 2011 | 4 |
About Hardik J. Pandya
Hardik J. Pandya is a scholar working on Bioengineering, Biophysics and Biomedical Engineering, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), Gas Sensing Nanomaterials and Sensors (9 papers), Microfluidic and Bio-sensing Technologies (9 papers), Analytical Chemistry and Sensors (8 papers), Advanced Chemical Sensor Technologies (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Optical Imaging and Spectroscopy Techniques (7 papers) and Cellular Mechanics and Interactions (6 papers). The work is most often cited by research in Bioengineering (103 citations), Biomedical Engineering (795 citations) and Clinical Biochemistry (88 citations). Hardik J. Pandya has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jaydev P. Desai, Bhagaban Behera, A. L. Vyas, Sudhir Chandra, Kihan Park, Hadi Shafiee, Deepak Padmanabhan, David J. Foran, Wenjin Chen and Manoj Kumar Kanakasabapathy. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.