Darshan Mehta

1.8k total citations · 3 hit papers
60 papers, 1.1k citations indexed

About

Darshan Mehta is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Darshan Mehta has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Global and Planetary Change, 29 papers in Water Science and Technology and 28 papers in Environmental Engineering. Recurrent topics in Darshan Mehta's work include Hydrology and Watershed Management Studies (25 papers), Hydrology and Drought Analysis (24 papers) and Flood Risk Assessment and Management (23 papers). Darshan Mehta is often cited by papers focused on Hydrology and Watershed Management Studies (25 papers), Hydrology and Drought Analysis (24 papers) and Flood Risk Assessment and Management (23 papers). Darshan Mehta collaborates with scholars based in India, Trinidad and Tobago and Ireland. Darshan Mehta's co-authors include Vijendra Kumar, Kul Vaibhav Sharma, S. M. Yadav, Tommaso Caloiero, Hazi Mohammad Azamathulla, Neeraj Sharma, Naresh Kedam, Karan Singh, Upaka Rathnayake and Kiran Tota‐Maharaj and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Economic Geology.

In The Last Decade

Darshan Mehta

55 papers receiving 1.1k 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.

Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models

2023 136 citations Vijendra Kumar, Naresh Kedam et al. Water profile →
Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances

2023 116 citations Vijendra Kumar, Kul Vaibhav Sharma et al. profile →
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management

2023 107 citations Vijendra Kumar, Hazi Mohammad Azamathulla et al. Sustainability profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darshan Mehta India	20	688	482	469	186	85	60	1.1k
Hui Peng China	18	436 0.6×	321 0.7×	523 1.1×	201 1.1×	60 0.7×	39	901
Simin Qu China	19	695 1.0×	307 0.6×	697 1.5×	228 1.2×	65 0.8×	76	1.0k
Jong Ahn Chun South Korea	21	565 0.8×	494 1.0×	589 1.3×	147 0.8×	38 0.4×	64	1.4k
Ismail Elkhrachy Saudi Arabia	18	590 0.9×	440 0.9×	374 0.8×	126 0.7×	33 0.4×	44	1.1k
Ali Golkarian Iran	12	461 0.7×	501 1.0×	374 0.8×	84 0.5×	51 0.6×	22	835
Sadhan Malik India	18	835 1.2×	484 1.0×	475 1.0×	138 0.7×	69 0.8×	32	1.2k
Fatemeh Falah Iran	10	566 0.8×	462 1.0×	311 0.7×	133 0.7×	54 0.6×	11	868
Enke Hou China	13	485 0.7×	345 0.7×	247 0.5×	98 0.5×	74 0.9×	54	957
Fawen Li China	15	479 0.7×	202 0.4×	316 0.7×	132 0.7×	72 0.8×	72	817

Countries citing papers authored by Darshan Mehta

Since Specialization

Citations

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

Fields of papers citing papers by Darshan Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darshan Mehta

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

All Works

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20 of 20 papers shown

Mehta, Darshan, et al.. (2025). Investigation of the effect of water treatment plant effluent on river quality: a case study. International Journal of Environment and Waste Management. 36(4). 438–451.

Mehta, Darshan, Tommaso Caloiero, S. M. Yadav, & Vikram Kumar. (2025). Rainfall temporal variability and drought analysis by means of the Standardized Precipitation Index in Ganganagar District, Rajasthan, India. Frontiers in Climate. 7.

Mehta, Darshan, et al.. (2024). Flood Hazard: A QGIS Plugin for Assessing Flood Consequences. Journal of Water Management Modeling. 1 indexed citations

Mehta, Darshan, et al.. (2024). Experimental investigation of the efficiency of stone revetment for different temporal variations with the static water condition. Journal of Water and Climate Change. 15(4). 1969–1980. 2 indexed citations

Mehta, Darshan, et al.. (2024). Trend analysis of precipitation and drought characteristics over Churu district of northeast Rajasthan, India. Journal of Water and Climate Change. 15(9). 4457–4475. 2 indexed citations

Jha, Sanjay, et al.. (2024). Assessment of Reservoir Sedimentation Using Geospatial Tools: A Case Study of Kadana Reservoir. 2 indexed citations

Mehta, Darshan, et al.. (2024). Rainfall–runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture for the Damanganga basin. Journal of Water and Climate Change. 15(5). 2518–2531. 9 indexed citations

Mehta, Darshan, et al.. (2024). Rainfall Intensity-Duration-Frequency Relationships: A Robust Foundation for Urban Decision-Making and Flood Management: A Case Study. 2 indexed citations

Mehta, Darshan, et al.. (2024). Machine learning approaches for improving precipitation forecasting in the Ambica River basin of Navsari District, Gujarat. Water Practice & Technology. 19(4). 1315–1329. 9 indexed citations

10.

Mehta, Darshan, et al.. (2023). Assessment of groundwater vulnerability using the GIS approach-based GOD method in Surat district of Gujarat state, India. Water Practice & Technology. 18(2). 285–294. 10 indexed citations

11.

Mehta, Darshan, et al.. (2023). Evaluating the Efficacy of Different DEMs for Application in Flood Frequency and Risk Mapping of the Indian Coastal River Basin. Climate. 11(5). 114–114. 20 indexed citations

12.

Zomorodian, Seyed Mohammad Ali, et al.. (2023). Experimental Study on the Optimum Installation Depth and Dimensions of Roughening Elements on Abutment as Scour Countermeasures. Fluids. 8(6). 175–175. 7 indexed citations

13.

Wimalasiri, Eranga M., et al.. (2023). An Artificial Neural Network for Predicting Groundnut Yield Using Climatic Data. AgriEngineering. 5(4). 1713–1736. 10 indexed citations

14.

Kumar, Vijendra, Naresh Kedam, Kul Vaibhav Sharma, Darshan Mehta, & Tommaso Caloiero. (2023). Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models. Water. 15(14). 2572–2572. 136 indexed citations breakdown →

15.

Sharma, Kul Vaibhav, Vijendra Kumar, Karan P. Singh, & Darshan Mehta. (2023). LANDSAT 8 LST Pan sharpening using novel principal component based downscaling model. Remote Sensing Applications Society and Environment. 30. 100963–100963. 24 indexed citations

16.

Mehta, Darshan, et al.. (2023). A Comparative Study for Provision of Environmental Flows in the Tapi River. SHILAP Revista de lepidopterología. 4(3). 570–583. 3 indexed citations

17.

Kumar, Vijendra, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, Darshan Mehta, & Kiran Tota‐Maharaj. (2023). The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management. Sustainability. 15(13). 10543–10543. 107 indexed citations breakdown →

18.

Verma, Mani Kant, A. D. Prasad, Darshan Mehta, et al.. (2023). Simulating the Hydrological Processes under Multiple Land Use/Land Cover and Climate Change Scenarios in the Mahanadi Reservoir Complex, Chhattisgarh, India. Water. 15(17). 3068–3068. 38 indexed citations

19.

Mehta, Darshan, et al.. (2018). ONE DIMENSIONAL HYDRODYNAMIC FLOOD MODELING FOR AMBICA RIVER, SOUTH GUJARAT. Journal of Emerging Technologies and Innovative Research. 5(4). 595-601–595-601. 16 indexed citations

20.

Mehta, Darshan, et al.. (2015). Simulation of HEC-RAS model on Prediction of Flood for Lower Tapi River Basin, Surat. Journal of Emerging Technologies and Innovative Research. 2(11). 105-112–105-112.

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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