Kumar Gaurav

1.1k total citations · 1 hit paper
49 papers, 711 citations indexed

About

Kumar Gaurav is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Kumar Gaurav has authored 49 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 19 papers in Water Science and Technology and 17 papers in Global and Planetary Change. Recurrent topics in Kumar Gaurav's work include Hydrology and Watershed Management Studies (14 papers), Soil Moisture and Remote Sensing (13 papers) and Flood Risk Assessment and Management (13 papers). Kumar Gaurav is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Soil Moisture and Remote Sensing (13 papers) and Flood Risk Assessment and Management (13 papers). Kumar Gaurav collaborates with scholars based in India, United Kingdom and France. Kumar Gaurav's co-authors include Abhilash Singh, Rajiv Sinha, Shashi Kumar, S. K. Tandon, Cheng‐Chi Lee, Vaibhav Kumar, François Métivier, Olivier Devauchelle, Santosh Kumar and Alfred Stein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Kumar Gaurav

40 papers receiving 681 citations

Hit Papers

Deep learning and data fusion to estimate surface soil mo... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images
    2023 87 citations Abhilash Singh, Kumar Gaurav profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kumar Gaurav India 16 301 219 181 175 153 49 711
Rachid Lhissou Canada 14 418 1.4× 199 0.9× 110 0.6× 85 0.5× 201 1.3× 35 833
Mohammad Zare Iran 12 213 0.7× 380 1.7× 141 0.8× 161 0.9× 107 0.7× 37 775
Kyungrock Paik South Korea 15 191 0.6× 349 1.6× 155 0.9× 320 1.8× 159 1.0× 41 692
A’kif Al-Fugara Jordan 18 284 0.9× 343 1.6× 69 0.4× 226 1.3× 66 0.4× 43 764
Alexander Kmoch Estonia 12 174 0.6× 186 0.8× 115 0.6× 169 1.0× 97 0.6× 32 583
Farnoush Mohammadi Iran 9 236 0.8× 445 2.0× 165 0.9× 163 0.9× 49 0.3× 9 714
Emmanouil Psomiadis Greece 19 287 1.0× 557 2.5× 136 0.8× 213 1.2× 331 2.2× 47 959
Meriame Mohajane Morocco 14 302 1.0× 480 2.2× 81 0.4× 218 1.2× 192 1.3× 19 828
Jiaming Na China 17 319 1.1× 182 0.8× 108 0.6× 117 0.7× 206 1.3× 60 817
Omid Asadi Nalivan Iran 12 315 1.0× 369 1.7× 62 0.3× 224 1.3× 72 0.5× 22 674

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-authorship network of co-authors of Kumar Gaurav

This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Gaurav. A scholar is included among the top collaborators of Kumar Gaurav 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 Kumar Gaurav. Kumar Gaurav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hackney, Christopher, et al.. (2025). Quantifying the Suspended Sediment Dynamics and Morphological Impacts due to Sand Mining in the Narmada River, India. River Research and Applications. 42(2). 444–459. 1 indexed citations
2.
Gaurav, Kumar, et al.. (2025). Just transition beyond extraction: A spatial and comparative case study of two coal mining areas in India. Energy Research & Social Science. 126. 104136–104136. 2 indexed citations
3.
Gaurav, Kumar, Prabhakar Sharma, & Aviram Sharma. (2025). Revisiting community-based traditional irrigation systems in India. Heliyon. 11(1). e41684–e41684. 1 indexed citations
4.
Gaurav, Kumar, et al.. (2025). AI-Driven Smart Space Allocation Framework. 1841–1846.
5.
Singh, Abhilash, et al.. (2025). AutoML-Fire: Automated machine-learning approach to predict forest fires. Environmental Modelling & Software. 193. 106578–106578.
6.
7.
Singh, Abhilash, et al.. (2025). Overcoming data scarcity: A transfer learning framework with fine-tuned neural networks and multi-sensor satellite image fusion for soil moisture estimation. Engineering Applications of Artificial Intelligence. 159. 111636–111636. 1 indexed citations
8.
Singh, Abhilash, et al.. (2024). Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction. Environmental Modelling & Software. 175. 105995–105995. 7 indexed citations
9.
Gaurav, Kumar, et al.. (2024). Assessment of machine learning models to predict daily streamflow in a semiarid river catchment. Neural Computing and Applications. 36(21). 13087–13106. 10 indexed citations
10.
Gaurav, Kumar, et al.. (2024). Bootstrap Reduced Major Axis (BRMA) to optimize the satellite‐derived discharge rating curves. River Research and Applications. 40(8). 1571–1583.
11.
Singh, Abhilash & Kumar Gaurav. (2024). 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. 62. 1–13. 12 indexed citations
12.
Singh, Abhilash, et al.. (2023). AutoML-GWL: Automated machine learning model for the prediction of groundwater level. Engineering Applications of Artificial Intelligence. 127. 107405–107405. 34 indexed citations
13.
Joshi, Suneel Kumar, et al.. (2022). Surface water and groundwater interaction in the Kosi River alluvial fan of the Himalayan Foreland. Environmental Monitoring and Assessment. 194(8). 556–556. 3 indexed citations
14.
Dubey, Swatantra Kumar, et al.. (2022). Streamflow of the Betwa River under the Combined Effect of LU-LC and Climate Change. Agriculture. 12(12). 2005–2005. 6 indexed citations
15.
Singh, Abhilash, et al.. (2021). Machine Learning to Estimate Surface Roughness from Satellite Images. Remote Sensing. 13(19). 3794–3794. 29 indexed citations
16.
Gaurav, Kumar, et al.. (2021). Coupling threshold theory and satellite-derived channel width to estimate the formative discharge of Himalayan foreland rivers. Earth Surface Dynamics. 9(1). 47–70. 5 indexed citations
17.
Gaurav, Kumar, François Métivier, Olivier Devauchelle, et al.. (2015). Morphology of the Kosi megafan channels. Earth Surface Dynamics. 3(3). 321–331. 27 indexed citations
18.
Dubey, Arun Kumar, et al.. (2013). Code Aware Dynamic Source Routing for Distributed Sensor Network. International Journal of Network Security & Its Applications. 5(2). 117–124. 2 indexed citations
19.
20.
Gaurav, Kumar, et al.. (2010). Stochastic landslide vulnerability modeling in space and time in a part of the northern Himalayas, India. Environmental Monitoring and Assessment. 178(1-4). 25–37. 18 indexed citations

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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