S. M. Yadav

1.2k total citations
75 papers, 707 citations indexed

About

S. M. Yadav is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, S. M. Yadav has authored 75 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Global and Planetary Change, 41 papers in Water Science and Technology and 16 papers in Environmental Engineering. Recurrent topics in S. M. Yadav's work include Hydrology and Watershed Management Studies (37 papers), Flood Risk Assessment and Management (29 papers) and Hydrology and Drought Analysis (22 papers). S. M. Yadav is often cited by papers focused on Hydrology and Watershed Management Studies (37 papers), Flood Risk Assessment and Management (29 papers) and Hydrology and Drought Analysis (22 papers). S. M. Yadav collaborates with scholars based in India, United States and Italy. S. M. Yadav's co-authors include Vijendra Kumar, Darshan Mehta, Anant Patel, Hazi Mohammad Azamathulla, Kunwar D. Yadav, Kul Vaibhav Sharma, Quoc Bao Pham, Tommaso Caloiero, Pinaki Majumdar and Ramesh S. V. Teegavarapu and has published in prestigious journals such as Natural Hazards, Water Resources Management and Hydrological Sciences Journal.

In The Last Decade

S. M. Yadav

68 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. M. Yadav India 17 401 292 182 121 96 75 707
Raffaele Albano Italy 21 567 1.4× 325 1.1× 165 0.9× 129 1.1× 162 1.7× 49 994
Thendiyath Roshni India 15 313 0.8× 292 1.0× 328 1.8× 49 0.4× 101 1.1× 70 689
Kamran Davary Iran 17 293 0.7× 373 1.3× 285 1.6× 168 1.4× 108 1.1× 58 740
Hamideh Noory Iran 12 182 0.5× 191 0.7× 133 0.7× 159 1.3× 119 1.2× 29 539
Sonam Sandeep Dash India 14 419 1.0× 419 1.4× 246 1.4× 63 0.5× 38 0.4× 33 714
Xiaohua Dong China 17 460 1.1× 389 1.3× 209 1.1× 49 0.4× 38 0.4× 63 908
S. Samadi United States 18 519 1.3× 359 1.2× 311 1.7× 67 0.6× 44 0.5× 37 782
Julie Shortridge United States 11 243 0.6× 239 0.8× 171 0.9× 95 0.8× 63 0.7× 25 504
Mohammad Taghi Dastorani Iran 14 515 1.3× 356 1.2× 299 1.6× 53 0.4× 34 0.4× 53 851

Countries citing papers authored by S. M. Yadav

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Yadav. 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 S. M. Yadav. The network helps show where S. M. Yadav may publish in the future.

Co-authorship network of co-authors of S. M. Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Yadav. A scholar is included among the top collaborators of S. M. Yadav 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 S. M. Yadav. S. M. Yadav 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.
Yadav, S. M., et al.. (2025). Effect of land use and land cover change on spatial and temporal variation of hydrological parameters of Godavari river Basin, India. Theoretical and Applied Climatology. 156(1). 2 indexed citations
2.
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.
3.
Teegavarapu, Ramesh S. V., et al.. (2025). Use of Ensemble-Based Forecasting Methods in Reservoir Operation: Issues and Implementation Challenges. Journal of Hydrologic Engineering. 30(4).
5.
Kumar, Vijendra, et al.. (2024). Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities. Theoretical and Applied Climatology. 155(6). 4251–4288. 16 indexed citations
6.
Yadav, S. M., et al.. (2024). Spatiotemporal assessment of rainfall variability and its characteristics over Rapti River Basin, India. Water Practice & Technology. 19(3). 775–795. 1 indexed citations
7.
Yadav, S. M., et al.. (2024). BHARAT: a MADM approach to prioritizing the best performing EPS in a semi-arid river basin. Natural Hazards. 120(9). 9035–9055. 2 indexed citations
8.
Patel, Anant & S. M. Yadav. (2024). Performance evaluation and verification of post-processing methods for TIGGE ensemble data using machine learning approaches. Journal of Water and Climate Change. 15(4). 1729–1749. 1 indexed citations
9.
Yadav, S. M., et al.. (2023). Flood Hazards Mapping by Linking CF, AHP, and Fuzzy Logic Techniques in Urban Areas. Natural Hazards Review. 25(1). 18 indexed citations
10.
Yadav, S. M., et al.. (2021). Assessment of the empirical methods for the development of the synthetic unit hydrograph: a case study of a semi-arid river basin. Water Practice & Technology. 17(1). 139–156. 11 indexed citations
11.
Yadav, S. M., et al.. (2021). Effect on sediment delivery ratio by changes in land use land cover and construction of hydraulic structures at sub basin scale. Journal of Applied Water Engineering and Research. 10(1). 52–63. 1 indexed citations
12.
Yadav, S. M., et al.. (2021). Hydraulic modelling of extreme flood event of semi-arid river basin. 2 indexed citations
13.
Yadav, S. M., et al.. (2019). Affordable Housing Policies in India: Challenges and Reform. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 2606–2712.
14.
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
15.
Yadav, S. M., et al.. (2018). SIMULATION OF RAINFALL-RUNOFF EVENT USING HEC-HMS MODEL FOR REL SUB-BASIN, GUJARAT, INDIA. Journal of Emerging Technologies and Innovative Research. 5(4). 402-407–402-407. 5 indexed citations
16.
Yadav, S. M., et al.. (2018). TREND ANALYSIS OF RAINFALL AND TEMPERATURE OVER SURAT DISTRICT OF GUJARAT STATE. Journal of Emerging Technologies and Innovative Research. 5(4). 446-454–446-454.
17.
Kumar, Vijendra & S. M. Yadav. (2018). Optimization of Reservoir Operation with a New Approach in Evolutionary Computation Using TLBO Algorithm and Jaya Algorithm. Water Resources Management. 32(13). 4375–4391. 46 indexed citations
18.
Yadav, S. M., et al.. (2013). Estimating the Sediment Transport Capacity Using HEC-RAS. Global Journal For Research Analysis. 4 indexed citations
19.
Yadav, S. M., et al.. (2010). Evaluation and Improvement of Bed Load Formula Using Tapi River Data, India. Journal of Water Resource and Protection. 2(3). 245–250. 1 indexed citations
20.
Yadav, S. M., et al.. (2009). ESTIMATION OF BEDLOAD BY KALINSKE'S EQUATION USING TAPI RIVER DATA. ISH Journal of Hydraulic Engineering. 15(3). 97–104. 1 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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