Partha S. Mukherjee
- Health, Toxicology and Mutagenesis top 1%
- Speech and Hearing top 1%
- Pollution top 5%
- Environmental Engineering top 5%
- Molecular Biology
- Co-authors
- Lilian Calderón‐GarcidueñasRicardo Torres‐JardónAngélica González-MacielRafael Reynoso-RoblesRandy J. KuleszaBeatríz Pérez-GuilléPeihua QiuAristo Vojdani
- Topics
- Air Quality and Health Impacts (24 papers)Medical Image Segmentation Techniques (11 papers)Noise Effects and Management (11 papers)
- Journals
- Environmental Science & TechnologyIEEE Transactions on Pattern Analysis and Machine IntelligenceTechnometrics
- Partner nations
- United StatesMexicoIndia
In The Last Decade
Partha S. Mukherjee
63 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 150
- Health, Toxicology and Mutagenesis 1.0k
- Speech and Hearing 307
- Pollution 240
- Environmental Engineering 196
- Molecular Biology 140
Countries citing papers authored by Partha S. Mukherjee
This map shows the geographic impact of Partha S. Mukherjee'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 Partha S. Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partha S. Mukherjee more than expected).
Fields of papers citing papers by Partha S. Mukherjee
This network shows the impact of papers produced by Partha S. Mukherjee. 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 Partha S. Mukherjee. The network helps show where Partha S. Mukherjee may publish in the future.
Co-authorship network of co-authors of Partha S. Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Partha S. Mukherjee. A scholar is included among the top collaborators of Partha S. Mukherjee 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 Partha S. Mukherjee. Partha S. Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 15 | |
| 6 | 76 | |
| 7 | 10 | |
| 8 | 27 | |
| 9 | 80 | |
| 10 | 38 | |
| 11 | 16 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 18 | |
| 15 | A Cognitive Study on DNA Based Computation | 2 |
| 16 | 28 | |
| 17 | Edge structure preserving 3-D image denoising | 1 |
| 18 | 9 | |
| 19 | Microbial production of ethanal from water hyacinth. | 1 |
| 20 | Deteriorative changes in groundnut seeds in storage. | 9 |
About Partha S. Mukherjee
Partha S. Mukherjee is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (24 papers), Medical Image Segmentation Techniques (11 papers) and Noise Effects and Management (11 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.0k citations), Speech and Hearing (307 citations) and Pollution (240 citations). Partha S. Mukherjee has collaborated with scholars based in United States, Mexico and India. Frequent co-authors include Lilian Calderón‐Garcidueñas, Ricardo Torres‐Jardón, Angélica González-Maciel, Rafael Reynoso-Robles, Randy J. Kulesza, Beatríz Pérez-Guillé, Peihua Qiu, Aristo Vojdani, Maricela Franco-Lira and George Perry. Their work appears in journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Technometrics.
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.