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RESEARCHER PUBLIC RESEARCH PROFILE● Verified public profile
RRK-A-5000-3760-34
Balraj Singh
Works43
Citations1,183
h-index21
i10-index24
2-year citedness5.73
Mean FWCI*3.46
Top 1%*1
Top 10%*10
ResearchRank IDRRK-A-5000-3760-34
Observed nameBalraj Singh
ORCID0000-0002-0381-4363
Current / last-known institutionNot listed
Research topicsHydrological Forecasting Using AI · Soil and Unsaturated Flow · Hydraulic flow and structures · Hydrology and Sediment Transport Processes · Soil Moisture and Remote Sensing
Name variantsB. Singh, Balraj Singh
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Identity, scholarly output, impact indicators, affiliations, topics and publication evidence for this ResearchRank record.
Profile typeResearcher
Works43
Citations1,183
h-index21
i10-index24
Current / last-known affiliationNot listed
ORCID0000-0002-0381-4363
Name variantsB. Singh, Balraj Singh
Primary research topics
Hydrological Forecasting Using AISoil and Unsaturated FlowHydraulic flow and structuresHydrology and Sediment Transport ProcessesSoil Moisture and Remote Sensing
Hydrological Forecasting Using AISoil and Unsaturated FlowHydraulic flow and structuresHydrology and Sediment Transport ProcessesSoil Moisture and Remote Sensing
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Research Output Certificate
At least 10 indexed scholarly works
Citation Impact Certificate
At least 100 indexed citations
h-index Achievement Certificate
h-index of 10 or higher
Distinguished Researcher Certificate
h-index of 20+ and at least 1,000 indexed citations
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TOP-CITED OUTPUT
Full profile view · up to 25 leading worksResearch works
Modelling of impact of water quality on infiltration rate of soil by random forest regressionArticle · 2017 · 219 citations · FWCI 16.0269 · Full text ↗
Comparative Evaluation of Infiltration ModelsArticle · 2018 · 84 citations · Open access · FWCI 6.9697 · Full text ↗
Strength performance of recycled aggregate concretes containing mineral admixtures and their performance prediction through various modeling techniquesArticle · 2019 · 79 citations · FWCI 5.3609 · Full text ↗
Modeling the infiltration process with soft computing techniquesArticle · 2018 · 63 citations · FWCI 3.6447 · Full text ↗
Modeling unsaturated hydraulic conductivity by hybrid soft computing techniquesArticle · 2019 · 55 citations · FWCI 5.7976 · Full text ↗
Comparative analysis of artificial intelligence techniques for the prediction of infiltration processArticle · 2020 · 50 citations · Open access · FWCI 3.1447 · Full text ↗
Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven TechniquesArticle · 2020 · 50 citations · FWCI 2.6056 · Full text ↗
Comparison of infiltration models in NIT Kurukshetra campusArticle · 2018 · 50 citations · Open access · FWCI 4.0469 · Full text ↗
Assessment of the various soft computing techniques to predict sodium absorption ratio (SAR)Article · 2019 · 47 citations · FWCI 2.7565 · Full text ↗
Estimation of permeability of soil using easy measured soil parameters: assessing the artificial intelligence-based modelsArticle · 2019 · 41 citations · FWCI 3.1793 · Full text ↗
Model-based soil temperature estimation using climatic parameters: the case of Azerbaijan Province, IranArticle · 2019 · 38 citations · Open access · FWCI 2.7565 · Full text ↗
Prediction of the sodium absorption ratio using data-driven models: a case study in IranArticle · 2019 · 32 citations · Open access · FWCI 1.4843 · Full text ↗
Modelling of the impact of water quality on the infiltration rate of the soilArticle · 2019 · 32 citations · Open access · FWCI 4.1145 · Full text ↗
Evaluating Parshall flume aeration with experimental observations and advance soft computing techniquesArticle · 2021 · 31 citations · FWCI 2.7146 · Full text ↗
Soft computing technique-based prediction of water quality indexArticle · 2021 · 30 citations · Open access · FWCI 2.0251 · Full text ↗
Estimation of infiltration rate using data-driven modelsArticle · 2021 · 30 citations · FWCI 2.456 · Full text ↗
Development and application of modeling techniques to estimate the unsaturated hydraulic conductivityArticle · 2023 · 27 citations · FWCI 3.163 · Full text ↗
Assessment of infiltration models developed using soft computing techniquesArticle · 2020 · 26 citations · Open access · FWCI 2.7761 · Full text ↗
Prediction of Manning's coefficient of roughness for high-gradient streams using M5PArticle · 2021 · 24 citations · Open access · FWCI 2.1598 · Full text ↗
Estimation of trapping efficiency of a vortex tube silt ejectorArticle · 2018 · 23 citations · FWCI 2.4431 · Full text ↗
Prediction of river discharge of Kesinga sub-catchment of Mahanadi basin using machine learning approachesArticle · 2022 · 22 citations · FWCI 1.3644 · Full text ↗
An expert system for predicting the infiltration characteristicsArticle · 2021 · 16 citations · Open access · FWCI 1.5512 · Full text ↗
Experimental Investigation and Modeling of Aeration Efficiency at Labyrinth WeirsArticle · 2021 · 15 citations · Open access · FWCI 1.2926 · Full text ↗
Evaluation of the impact of fly ash on infiltration characteristics using different soft computing techniquesArticle · 2018 · 15 citations · Open access · FWCI 1.5738 · Full text ↗
A benchmark comparison of AI-based modeling of soil infiltration ratesArticle · 2024 · 9 citations · Open access · FWCI 1.0602 · Full text ↗