Automated Author ProfileTripathi, Prateek
Tripathi, Prateek
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 24.0 (sum of 26 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This comparison presents the 12 different research articles in the field of Hyperspectral remote sensing and spectroscopy. Remote sensing is currently the most important tool in Earth sciences. Here all the contributions discusses the mapping of minerals using different hyperspectral and multispectral datasets.
Authors
- Tripathi, Prateek
Here the comparison of various data dimensionality reduction techniques or feature extraction techniques is shown for geological applications. These are some basic papers that utilized both spaceborne and airborne imageries.
Authors
- Tripathi, Prateek
This comparison shows the various methods used to characterize rocks on Earth using the spectroscopic method in different spectral ranges. This type of characterization helps understand extraterrestrial surfaces and builds the background and necessary base for future planetary exploration.
Authors
- Tripathi, Prateek
This comparison shows the various methods used to characterize rocks on Earth by utilizing spectroscopic methods in different spectral ranges. This type of characterization helps understand extraterrestrial surfaces and builds the background and necessary base for future planetary exploration.
Authors
- Tripathi, Prateek
This comparison is a brief and concise overview of Sub-surface geology, stratigraphy, and regolith as observed from Lunar penetrating radar (LPR) onboard Chang'e 3 and 4 lunar missions. Various layers with thier thickness and processing methods for LPR data are comapred here. This comparison can be of a great help to geologists, scientists and researchers in the field of planetary sciences.
Authors
- Tripathi, Prateek
This includes the Hyperspectral Imager (HySI), Moon Mineralogy, Mapper (M3), Spectral Profiler (SP), Infrared Spectrometer-2 (SIR-2), Multiband Imager (MI), Visible and Near-Infrared Spectrometer (VNIS), and Apollo samples as reflectance spectra. This comparison can provide a decent and robust base for an early researcher in Electronics and lunar sciences.
Authors
- Tripathi, Prateek
This comparison shows the Raman spectroscopic (scattering) analysis of minerals found in rock and soil samples returned from Apollo lunar missions, including Apollo 11, 12, 14, 15, 16, and 17. The contributions added in the comparison have analyzed Apollo returned lunar rock samples using more than one spectroscopic method, but only the intensity peaks from Raman spectral analysis are discussed here. This comparison will help the researchers and students in Earth and lunar sciences to build a general knowledge of the polymorphs of minerals on the lunar surface.
Authors
- Tripathi, Prateek
This comparison gives an overview of several minerals detected from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) spectrometer onboard Mars Reconnaissance Orbiter (MRO). Various contributions covering the key Martain locations are included in this comparison. This will help the students and researchers from the field of Martian geology.
Authors
- Tripathi, Prateek
This comparison shows the application of ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) multispectral remote sensing data for the mineralogy of various geologically important areas in India. Due to the availability of extended wavelength bands (visible to thermal infrared), the ASTER data is still beneficial (decommissioned in 2009) for mineralogical applications.
Authors
- Tripathi, Prateek
This comparison reviews the findings from some key research papers which noted significant results for the mineralogy of Cuprite hills in Nevada, US. ASTER, AVIRIS-NG, and field spectrometers have provided crucial information regarding the mineralogy and alteration at the famous and ideal testing site for geological remote sensing. This comparison will help the students and researchers choose or focus on a particular mineral before the starting of their research work.
Authors
- Tripathi, Prateek