Parag V. Chitnis
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Mechanics of Materials top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Co-authors
- Steven GuanSiddhartha SikdarAmir KhanRobin O. ClevelandScott R. McClureRonald H. SilvermanJonathan MamouFanting Kong
- Topics
- Photoacoustic and Ultrasonic Imaging (35 papers)Ultrasound and Hyperthermia Applications (18 papers)Thermography and Photoacoustic Techniques (17 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Parag V. Chitnis
68 papers receiving 915 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Biomedical Engineering 505
- Radiology, Nuclear Medicine and Imaging 296
- Mechanics of Materials 196
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 81
Countries citing papers authored by Parag V. Chitnis
This map shows the geographic impact of Parag V. Chitnis'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 Parag V. Chitnis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parag V. Chitnis more than expected).
Fields of papers citing papers by Parag V. Chitnis
This network shows the impact of papers produced by Parag V. Chitnis. 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 Parag V. Chitnis. The network helps show where Parag V. Chitnis may publish in the future.
Co-authorship network of co-authors of Parag V. Chitnis
This figure shows the co-authorship network connecting the top 25 collaborators of Parag V. Chitnis. A scholar is included among the top collaborators of Parag V. Chitnis 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 Parag V. Chitnis. Parag V. Chitnis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 28 | |
| 12 | 33 | |
| 13 | 5 | |
| 14 | Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removalbreakdown → | 365 |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 25 | |
| 18 | 2 | |
| 19 | 18 | |
| 20 | 79 |
About Parag V. Chitnis
Parag V. Chitnis is a scholar working on Acoustics and Ultrasonics, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 947 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (35 papers), Ultrasound and Hyperthermia Applications (18 papers) and Thermography and Photoacoustic Techniques (17 papers). The work is most often cited by research in Acoustics and Ultrasonics (81 citations), Radiology, Nuclear Medicine and Imaging (296 citations) and Biomedical Engineering (505 citations). Parag V. Chitnis has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Steven Guan, Siddhartha Sikdar, Amir Khan, Robin O. Cleveland, Scott R. McClure, Ronald H. Silverman, Jonathan Mamou, Fanting Kong, Jeffrey A. Ketterling and Liping Liu. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.
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.