Vinay Kumar Gautam
About
In The Last Decade
Vinay Kumar Gautam
17 papers receiving 503 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Environmental Engineering 224
- Global and Planetary Change 155
- Water Science and Technology 144
- Geochemistry and Petrology 67
- Artificial Intelligence 40
Countries citing papers authored by Vinay Kumar Gautam
This map shows the geographic impact of Vinay Kumar Gautam'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 Vinay Kumar Gautam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Kumar Gautam more than expected).
Fields of papers citing papers by Vinay Kumar Gautam
This network shows the impact of papers produced by Vinay Kumar Gautam. 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 Vinay Kumar Gautam. The network helps show where Vinay Kumar Gautam may publish in the future.
Co-authorship network of co-authors of Vinay Kumar Gautam
This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Kumar Gautam. A scholar is included among the top collaborators of Vinay Kumar Gautam 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 Vinay Kumar Gautam. Vinay Kumar Gautam 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 | 2 | |
| 3 | Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development breakdown → | 60 |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 20 | |
| 8 | Prediction of Sodium Hazard of Irrigation Purpose using Artificial Neural Network Modelling breakdown → | 110 |
| 9 | Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district, (MP) central India breakdown → | 112 |
| 10 | 13 | |
| 11 | 17 | |
| 12 | 74 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 50 | |
| 16 | 9 | |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | 4 |
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.