Srishti Gaur

522 total citations · 1 hit paper
16 papers, 319 citations indexed

About

Srishti Gaur is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Srishti Gaur has authored 16 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 6 papers in Water Science and Technology and 4 papers in Environmental Engineering. Recurrent topics in Srishti Gaur's work include Hydrology and Watershed Management Studies (6 papers), Flood Risk Assessment and Management (5 papers) and Hydrology and Drought Analysis (4 papers). Srishti Gaur is often cited by papers focused on Hydrology and Watershed Management Studies (6 papers), Flood Risk Assessment and Management (5 papers) and Hydrology and Drought Analysis (4 papers). Srishti Gaur collaborates with scholars based in India, United States and Germany. Srishti Gaur's co-authors include Rajendra Singh, Arnab Bandyopadhyay, Rajendra Prasad Singh, Ian Holman, Pranesh Kumar Paul, Babita Kumari, Ashok Mishra, Simon Stisen, D. Drewry and Bhupendra Singh and has published in prestigious journals such as Frontiers in Plant Science, Climatic Change and International Journal of Remote Sensing.

In The Last Decade

Srishti Gaur

15 papers receiving 317 citations

Hit Papers

align trajectories

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.

A Comprehensive Review on Land Use/Land Cover (LULC) Change Modeling for Urban Development: Current Status and Future Prospects

2023 96 citations Srishti Gaur, Rajendra Singh Sustainability profile →

Peers

Srishti Gaur

GPC

WST

EE

ECOLO

AS

Jamal Talib Malaysia

Canute Hyandye Tanzania

Adrian Strauch Germany

Bazel Al-Shaibah China

Hasan Mohammed Hameed Iraq

Mirza Waleed Hong Kong

Sitotaw Haile Erena Ethiopia

P. E. Zope India

Fernando Oñate-Valdivieso Ecuador

Amanda Markert United States

Jamal Talib Malaysia

Srishti Gaur

232 ×1.0

GPC

144 ×1.3

WST

88 ×1.0

EE

91 ×1.2

ECOLO

33 ×0.6

AS

Citations per year, relative to Srishti Gaur Srishti Gaur (= 1×) peers Jamal Talib

Countries citing papers authored by Srishti Gaur

Since Specialization

Citations

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

Fields of papers citing papers by Srishti Gaur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srishti Gaur

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Gaur, Srishti, et al.. (2025). Explainable machine learning to quantify the value of proximal remote sensing in latent energy flux estimation. Agricultural Water Management. 317. 109643–109643. 1 indexed citations

2.

Gill, Andrew C., Srishti Gaur, Clay Sneller, & D. Drewry. (2024). Utilizing VSWIR spectroscopy for macronutrient and micronutrient profiling in winter wheat. Frontiers in Plant Science. 15. 1426077–1426077.

3.

Singh, Vijay P., Rajendra Prasad Singh, Pranesh Kumar Paul, Deepak Singh Bisht, & Srishti Gaur. (2024). Hydrological Processes Modelling and Data Analysis. 4 indexed citations

4.

Gaur, Srishti & D. Drewry. (2024). Explainable machine learning for predicting stomatal conductance across multiple plant functional types. Agricultural and Forest Meteorology. 350. 109955–109955. 8 indexed citations

5.

Gaur, Srishti & Rajendra Singh. (2023). A Comprehensive Review on Land Use/Land Cover (LULC) Change Modeling for Urban Development: Current Status and Future Prospects. Sustainability. 15(2). 903–903. 96 indexed citations breakdown →

6.

Gaur, Srishti, et al.. (2023). Diagnosis of GCM-RCM-driven rainfall patterns under changing climate through the robust selection of multi-model ensemble and sub-ensembles. Climatic Change. 176(2). 13 indexed citations

7.

Gaur, Srishti, Bhupendra Singh, Arnab Bandyopadhyay, Simon Stisen, & Rajendra Prasad Singh. (2022). Spatial pattern‐based performance evaluation and uncertainty analysis of a distributed hydrological model. Hydrological Processes. 36(5). 21 indexed citations

8.

Gaur, Srishti, Arnab Bandyopadhyay, & Rajendra Prasad Singh. (2021). From Changing Environment to Changing Extremes: Exploring the Future Streamflow and Associated Uncertainties Through Integrated Modelling System. Water Resources Management. 35(6). 1889–1911. 23 indexed citations

9.

Gaur, Srishti, Arnab Bandyopadhyay, & Rajendra Prasad Singh. (2021). Projecting land use growth and associated impacts on hydrological balance through scenario-based modelling in the Subarnarekha basin, India. Hydrological Sciences Journal. 66(14). 1997–2010. 17 indexed citations

10.

Gaur, Srishti, et al.. (2020). Spatio-temporal analysis of land use and land cover change: a systematic model inter-comparison driven by integrated modelling techniques. International Journal of Remote Sensing. 41(23). 9229–9255. 67 indexed citations

11.

Paul, Pranesh Kumar, et al.. (2020). Application of a newly developed large‐scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition. Natural Resource Modeling. 33(4). 9 indexed citations

12.

Gaur, Srishti, Arnab Bandyopadhyay, & Rajendra Prasad Singh. (2020). Modelling potential impact of climate change and uncertainty on streamflow projections: a case study. Journal of Water and Climate Change. 12(2). 384–400. 36 indexed citations

13.

Paul, Pranesh Kumar, et al.. (2019). Diagnosing Credibility of a Large-Scale Conceptual Hydrological Model in Simulating Streamflow. Journal of Hydrologic Engineering. 24(4). 16 indexed citations

14.

Gaur, Srishti, et al.. (2017). Operational Testing of Satellite based Hydrological Model (SHM). EGUGA. 2543. 1 indexed citations

15.

Gaur, Srishti, et al.. (2016). Disruptive Patanjali: Changing the Indian FMCG Landscape. FIIB Business Review. 5(5). 55–64. 2 indexed citations

16.

Sharma, Himanshu, et al.. (2015). Design a low latency arbiter for on chip communication architecture. 2. 1421–1426. 5 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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