Shishir Gaur

1.1k total citations
53 papers, 719 citations indexed

About

Shishir Gaur is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Shishir Gaur has authored 53 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Environmental Engineering, 25 papers in Water Science and Technology and 16 papers in Global and Planetary Change. Recurrent topics in Shishir Gaur's work include Hydrology and Watershed Management Studies (17 papers), Groundwater flow and contamination studies (17 papers) and Flood Risk Assessment and Management (10 papers). Shishir Gaur is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Groundwater flow and contamination studies (17 papers) and Flood Risk Assessment and Management (10 papers). Shishir Gaur collaborates with scholars based in India, France and China. Shishir Gaur's co-authors include Didier Graillot, B. R. Chahar, Shyam Bihari Dwivedi, Anurag Ohri, Prabhat Kumar Singh Dikshit, Padam Jee Omar, D. Nagesh Kumar, Bhagu R. Chahar, Sudheer Ch and Smrity Dwivedi and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Journal of Hydrology.

In The Last Decade

Shishir Gaur

46 papers receiving 700 citations

Peers

Shishir Gaur
Rebecca Doble Australia
Rajib Kumar Bhattacharjya India
Mehmet Özçelik Türkiye
Muhammad A. Al-Zahrani Saudi Arabia
Falk Heße Germany
Enke Hou China
Oliver Saavedra Japan
B. R. Chahar India
Sasmita Sahoo India
David Rassam Australia
Rebecca Doble Australia
Shishir Gaur
Citations per year, relative to Shishir Gaur Shishir Gaur (= 1×) peers Rebecca Doble

Countries citing papers authored by Shishir Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Shishir Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shishir Gaur

This figure shows the co-authorship network connecting the top 25 collaborators of Shishir Gaur. A scholar is included among the top collaborators of Shishir Gaur 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 Shishir Gaur. Shishir Gaur 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.
Ohri, Anurag, et al.. (2025). Sensitivity of permissible aquifer recharge rate to hydrogeological and well design parameters. Journal of Hydrology. 660. 133438–133438.
2.
3.
Ohri, Anurag, et al.. (2025). Accuracy Assessment and Optimization of the Photogrammetric Process Variables for 3D Mapping Using Unmanned Aerial Vehicle (Drones). Journal of the Indian Society of Remote Sensing. 53(10). 3141–3164.
4.
Dwivedi, Shyam Bihari, et al.. (2025). A review of the evolution of satellite radar altimetry for hydrological Monitoring: Water level and discharge estimation. Physics and Chemistry of the Earth Parts A/B/C. 141. 104039–104039.
5.
Singh, Prabhat Kumar, et al.. (2024). Multi-Facet analysis of analytical and numerical models to resolve sustainable artificial recharge rates in unconfined aquifers. Journal of Environmental Management. 362. 121233–121233. 3 indexed citations
6.
Gaur, Shishir, et al.. (2024). HRU-based Downscaling of GRACE-TWS to Quantify the Hydrogeological Fluxes and Specific Yield in the Lower Middle Ganga Basin. Journal of Hydrology. 639. 131591–131591. 1 indexed citations
7.
Mishra, Anurag, et al.. (2024). Water quality hotspot identification using a remote sensing and machine learning approach: A case study of the River Ganga near Varanasi. Advances in Space Research. 74(11). 5604–5618. 2 indexed citations
8.
Singh, Prabhat Kumar, et al.. (2024). Evaluating groundwater depletion under natural and induced stresses: a numerical modeling approach toward aquifer sustainability. Journal of Hydroinformatics. 26(12). 3130–3150. 1 indexed citations
9.
Gaur, Shishir, et al.. (2024). Stacked Ensemble with Machine Learning Regressors on Optimal Features (SMOF) of hyperspectral sensor PRISMA for inland water turbidity prediction. Environmental Science and Pollution Research. 31(57). 65464–65480. 2 indexed citations
10.
Gaur, Shishir, et al.. (2024). Reconnaissance of spatio-temporal variability in ecological stability with local adaptability based on multi-temporal LANDSAT archive in ganga river basin. Physics and Chemistry of the Earth Parts A/B/C. 135. 103667–103667. 2 indexed citations
11.
Gaur, Shishir, et al.. (2023). Handling Large Decision Variables in Multi-Objective Groundwater Optimization Problems: Aquifer Parameter-Based Clustering Approach. Water Resources Management. 37(11). 4553–4568. 4 indexed citations
12.
Gaur, Shishir, et al.. (2023). Suitable sites for groundwater development: a capture map-based approach integrated with weighted overlay analysis. AQUA - Water Infrastructure Ecosystems and Society. 72(7). 1184–1197. 1 indexed citations
13.
Gaur, Shishir, et al.. (2023). A novel band selection architecture to propose a built-up index for hyperspectral sensor PRISMA. Earth Science Informatics. 16(1). 887–898. 3 indexed citations
14.
Ohri, Anurag, et al.. (2022). Time series forecasting of temperature and turbidity due to global warming in river Ganga at and around Varanasi, India. Environmental Monitoring and Assessment. 194(9). 617–617. 16 indexed citations
15.
Dole‐Olivier, Marie‐José, Michel Creuzé des Châtelliers, Diana M. P. Galassi, et al.. (2022). Drivers of functional diversity in the hyporheic zone of a large river. The Science of The Total Environment. 843. 156985–156985. 11 indexed citations
16.
Ohri, Anurag, et al.. (2022). Analysis of the Spatio-Temporal Variation of the Thermal Pattern of River Ganges in Proximity to Varanasi, India. Journal of the Indian Society of Remote Sensing. 50(6). 1119–1134. 4 indexed citations
17.
Gupta, Arpit, et al.. (2022). Analysis of algal bloom intensification in mid-Ganga river, India, using satellite data and neural network techniques. Environmental Monitoring and Assessment. 194(8). 547–547. 12 indexed citations
18.
Gaur, Shishir, et al.. (2022). Analysing the relationship between human modification and land surface temperature fluctuation in the Ramganga basin, India. Environmental Monitoring and Assessment. 195(1). 104–104. 2 indexed citations
19.
Dwivedi, Shyam Bihari, et al.. (2021). A comparative study of machine learning and Fuzzy-AHP technique to groundwater potential mapping in the data-scarce region. Computers & Geosciences. 155. 104855–104855. 78 indexed citations
20.
Karthikeyan, L., D. Nagesh Kumar, Didier Graillot, & Shishir Gaur. (2012). Prediction of Ground Water Levels in the Uplands of a Tropical Coastal Riparian Wetland using Artificial Neural Networks. Water Resources Management. 27(3). 871–883. 17 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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