Kumar Gaurav

1.1k citations

49 papers · 711 indexed · 1 hit paper · h-index 16

Impact in

Environmental Engineering top 5%
- Soil Moisture and Remote Sensing
- Hydrological Forecasting Using AI
Water Science and Technology top 5%
- Hydrology and Watershed Management Studies

Papers in ⓘ

Environmental Engineering 23
- Soil Moisture and Remote Sensing 13
- Hydrological Forecasting Using AI 6
Water Science and Technology 19
- Hydrology and Watershed Management Studies 14

Co-authors: Abhilash Singh (22 shared papers)Rajiv Sinha (7 shared papers)Shashi Kumar (3 shared papers)S. K. Tandon (4 shared papers)Cheng‐Chi Lee (1 shared paper)Vaibhav Kumar (2 shared papers)François Métivier (3 shared papers)Olivier Devauchelle (2 shared papers)
Journals: River Research and Applications (3 papers)Environmental Monitoring and Assessment (2 papers)Earth Surface Dynamics (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Remote Sensing (2 papers)
Partner nations: India United Kingdom France

In The Last Decade

Kumar Gaurav

40 papers receiving 681 citations

Hit Papers

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Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images 2023 · 87 citations

Peers

Countries citing papers authored by Kumar Gaurav

Since Specialization

Citations

This map shows the geographic impact of Kumar Gaurav'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 Kumar Gaurav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Gaurav more than expected).

Fields of papers citing papers by Kumar Gaurav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kumar Gaurav. 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 Kumar Gaurav. The network helps show where Kumar Gaurav may publish in the future.

Co-authors

The 25 scholars most cited alongside Kumar Gaurav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kumar Gaurav Line = papers co-authored together Kumar Gaurav links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data Natural Hazards ·Kumar Gaurav, Rajiv Sinha, Prafulla Kumar Panda	2011	102
2	Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images Scientific Reports ·Abhilash Singh, Kumar Gaurav Hit paper breakdown →	2023	87
3	Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions IEEE Access ·Abhilash Singh, Kumar Gaurav, Gaurav Kailash Sonkar, Cheng‐Chi Lee	2023	52
4	Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India Remote Sensing ·Abhilash Singh, Kumar Gaurav, Ganesh Kumar Meena, Shashi Kumar	2020	48
5	Shallow subsurface stratigraphy and alluvial architecture of the Kosi and Gandak megafans in the Himalayan foreland basin, India Sedimentary Geology ·Rajiv Sinha, Jawed Ahmad, Kumar Gaurav, Guillaume Morin	2013	40
6	AutoML-GWL: Automated machine learning model for the prediction of groundwater level Engineering Applications of Artificial Intelligence ·Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav	2023	34
7	Exploring the channel connectivity structure of the August 2008 avulsion belt of the Kosi River, India: Application to flood risk assessment Geology ·Rajiv Sinha, Kumar Gaurav, S. Chandra, S. K. Tandon	2013	31
8	Machine Learning to Estimate Surface Roughness from Satellite Images Remote Sensing ·Abhilash Singh, Kumar Gaurav, Atul Kumar, Zafar Beg	2021	29
9	Morphology of the Kosi megafan channels Earth Surface Dynamics ·Kumar Gaurav, François Métivier, Olivier Devauchelle, Rajiv Sinha, Hugo Chauvet, Morgane Houssais, Hélène Bouquerel	2015	27
10	Stochastic landslide vulnerability modeling in space and time in a part of the northern Himalayas, India Environmental Monitoring and Assessment ·Iswar Das, Kumar Gaurav, Alfred Stein, Arunabha Bagchi, V. K. Dadhwal	2010	18
11	ANALYSIS OF THE EFFECT OF INCIDENCE ANGLE AND MOISTURE CONTENT ON THE PENETRATION DEPTH OF L- AND S-BAND SAR SIGNALS INTO THE GROUND SURFACE SHILAP Revista de lepidopterología ·Abhilash Singh, Ganesh Kumar Meena, Santosh Kumar, Kumar Gaurav	2018	18
12	Estimating discharge of the Ganga River from satellite altimeter data Journal of Hydrology ·Atul Kumar, Zafar Beg, Abhilash Singh, Kumar Gaurav	2021	18
13	A single width–discharge regime relationship for individual threads of braided and meandering rivers from the Himalayan Foreland Geomorphology ·Kumar Gaurav, S. K. Tandon, Olivier Devauchelle, Rajiv Sinha, François Métivier	2017	18
14	Assessing the impact of large barrages on habitat of the Ganga River dolphin River Research and Applications ·Gaurav Kailash Sonkar, Kumar Gaurav	2020	17
15	Assessing the synergic effect of land use and climate change on the upper Betwa River catchment in Central India under present, past, and future climate scenarios Environment Development and Sustainability ·Amit Kumar, Abhilash Singh, Kumar Gaurav	2022	16
16	Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data Geocarto International ·Rucha Dave, Kumar Gaurav, Dharmendra Kumar Pandey, Armugha Khan, Bimal K. Bhattacharya	2019	15
17	PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence IEEE Transactions on Geoscience and Remote Sensing ·Abhilash Singh, Kumar Gaurav	2024	12
18	Evaluation of the Penetration Depth of L- and S-Band (NISAR mission) Microwave SAR Signals into Ground Abhilash Singh, Ganesh Kumar Meena, Shashi Kumar, Kumar Gaurav	2019	12
19	Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India Intelligent Systems with Applications ·Abhilash Singh, Manish Mehra, Amit Kumar, M Niranjannaik, Dev Priya, Kumar Gaurav	2022	11
20	Assessment of machine learning models to predict daily streamflow in a semiarid river catchment Neural Computing and Applications ·Amit Kumar, Kumar Gaurav, Abhilash Singh, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	2024	10

About Kumar Gaurav

Kumar Gaurav is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Ecology and Management, Monitoring, Policy and Law, having authored 49 papers that have together received 711 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (13 papers), Soil Moisture and Remote Sensing (13 papers), Hydrology and Sediment Transport Processes (10 papers), Landslides and related hazards (9 papers), Hydrological Forecasting Using AI (6 papers), Precipitation Measurement and Analysis (5 papers) and Geological formations and processes (4 papers). The work is most often cited by research in Environmental Engineering (301 citations), Water Science and Technology (175 citations), Global and Planetary Change (219 citations), Atmospheric Science (181 citations) and Management, Monitoring, Policy and Law (115 citations). Kumar Gaurav has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Abhilash Singh, Rajiv Sinha, Shashi Kumar, S. K. Tandon, Cheng‐Chi Lee, Vaibhav Kumar, François Métivier, Olivier Devauchelle, Santosh Kumar and Hugo Chauvet. Their work appears in journals such as River Research and Applications, Environmental Monitoring and Assessment, Earth Surface Dynamics, Engineering Applications of Artificial Intelligence and Remote Sensing.

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.

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