Institution · Soil Conservation and Watershed Management Research
Most cited papers from Soil Conservation and Watershed Management Research
What are the most cited papers from Soil Conservation and Watershed Management Research?
The most cited paper from Soil Conservation and Watershed Management Research is "Twenty-three unsolved problems in hydrology (UPH) – a community perspective" (Günter Blöschl et al., 2019), with 1,148 citations. Next come "Diversity of Synthetic Dyes from Textile Industries, Discharge Impacts and Treatment Methods" (855) and "Predicting soil erosion and sediment yield at regional scales: Where do we stand?" (490).
Showing 50 of 61 papers. Every paper with more than 139 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Twenty-three unsolved problems in hydrology (UPH) – a community perspective Günter Blöschl et al. · Hydrological Sciences Journal | 10 Jun 2019 | 1,148 |
| 2 | Diversity of Synthetic Dyes from Textile Industries, Discharge Impacts and Treatment Methods Houda Ben Slama, Ali Chenari Bouket, Zeinab Pourhassan et al. · Applied Sciences | 6 Jul 2021 | 855 |
| 3 | Predicting soil erosion and sediment yield at regional scales: Where do we stand? Joris de Vente, Jean Poesen, Gert Verstraeten et al. · Earth-Science Reviews | 12 Sep 2013 | 490 |
| 4 | The sediment delivery problem revisited Joris de Vente, Jean Poesen, Mahmood Arabkhedri et al. · Progress in Physical Geography Earth and Environment | 29 Mar 2007 | 426 |
| 5 | Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia et al. · Journal of Hydrology | 8 Jul 2020 | 409 |
| 6 | Effects of crude oil contamination on geotechnical properties of clayey and sandy soils Mashalah Khamehchiyan, Amir Hossein Charkhabi, Majid Tajik · Engineering Geology | 19 Dec 2006 | 400 |
| 7 | Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi et al. · Remote Sensing | 13 Jan 2020 | 381 |
| 8 | Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method Farzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi et al. · The Science of The Total Environment | 21 Nov 2019 | 353 |
| 9 | Drought Tolerance in Plants: Physiological and Molecular Responses Mostafa Haghpanah, Seyyedhamidreza Hashemipetroudi, Ahmad Arzani et al. · Plants | 23 Oct 2024 | 325 |
| 10 | Altimetry for the future: Building on 25 years of progress Saleh Abdalla et al. · Advances in Space Research | 23 Mar 2021 | 315 |
| 11 | Evaluating urban flood risk using hybrid method of TOPSIS and machine learning Elham Rafiei-Sardooi, Ali Azareh, Bahram Choubin et al. · International Journal of Disaster Risk Reduction | Oct 2021 | 300 |
| 12 | Spatial Patterns and Temporal Variability of Drought in Western Iran Tayeb Raziei, Bahram Saghafian, Ana A. Paulo et al. · Water Resources Management | 18 Jun 2008 | 287 |
| 13 | Health risk assessments of arsenic and toxic heavy metal exposure in drinking water in northeast Iran Hossein Alidadi, Seyedeh Belin Tavakoly Sany, Batoul Zarif Garaati Oftadeh et al. · Environmental Health and Preventive Medicine | 14 Sep 2019 | 282 |
| 14 | Integrated machine learning methods with resampling algorithms for flood susceptibility prediction Esmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir et al. · The Science of The Total Environment | 6 Dec 2019 | 278 |
| 15 | Modification of physicochemical and thermal properties of starch films by incorporation of TiO2 nanoparticles Seyed Amir Oleyaei, Younes Zahedi, Babak Ghanbarzadeh et al. · International Journal of Biological Macromolecules | 30 Apr 2016 | 277 |
| 16 | Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati et al. · Remote Sensing | 12 Jul 2020 | 274 |
| 17 | Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin et al. · Water Resources Management | 17 Nov 2020 | 272 |
| 18 | Shelf‐life extension of peaches through sodium alginate and methyl cellulose edible coatings Neda Maftoonazad, Hosahalli S. Ramaswamy, Michelle L. Marcotte · International Journal of Food Science & Technology | 28 Mar 2008 | 272 |
| 19 | Assessment of soil quality indices in agricultural lands of Qazvin Province, Iran Fazel Rahmanipour, Rossana Marzaioli, Hossein Ali Bahrami et al. · Ecological Indicators | 16 Jan 2014 | 263 |
| 20 | GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment Binh Thai Pham, Mohammadtaghi Avand, Saeid Janizadeh et al. · Water | 2 Mar 2020 | 256 |
| 21 | Superabsorbent hydrogel made of NaAlg-g-poly(AA-co-AAm) and rice husk ash: Synthesis, characterization, and swelling kinetic studies Hamed Gharekhani, Ali Olad, Abdolreza Mirmohseni et al. · Carbohydrate Polymers | 16 Mar 2017 | 250 |
| 22 | Assessing and mapping multi-hazard risk susceptibility using a machine learning technique Hamid Reza Pourghasemi, Narges Kariminejad, Mahdis Amiri et al. · Scientific Reports | 21 Feb 2020 | 249 |
| 23 | Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods Omid Rahmati, Bahram Choubin, Abolhasan Fathabadi et al. · The Science of The Total Environment | 21 Jun 2019 | 245 |
| 24 | The role of salinity in physiological responses of bivalves Sajjad Pourmozaffar, Saeid Tamadoni Jahromi, Hossein Rameshi et al. · Reviews in Aquaculture | 4 Dec 2019 | 234 |
| 25 | Some physical properties of rough rice (Oryza Sativa L.) grain M. Ghasemi Varnamkhasti, Hossein Mobli, Ali Jafari et al. · Journal of Cereal Science | 17 Jun 2007 | 234 |
| 26 | Estimation of ETo with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran Tayeb Raziei, Luis Santos Pereira · Agricultural Water Management | 14 Feb 2013 | 232 |
| 27 | Fungal diversity notes 1387–1511: taxonomic and phylogenetic contributions on genera and species of fungal taxa Saranyaphat Boonmee et al. · Fungal Diversity | Nov 2021 | 217 |
| 28 | Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran Jafar Ghayoumian, M Mohseni Saravi, Sadat Feiznia et al. · Journal of Asian Earth Sciences | 9 Feb 2007 | 213 |
| 29 | Urban flood modeling using deep-learning approaches in Seoul, South Korea Xinxiang Lei, Wei Chen, Mahdi Panahi et al. · Journal of Hydrology | 18 Jul 2021 | 207 |
| 30 | Air pollution, environmental chemicals, and smoking may trigger vitamin D deficiency: Evidence and potential mechanisms Sayed Esmaeil Mousavi, Heresh Amini, Pouria Heydarpour et al. · Environment International | 30 Nov 2018 | 207 |
| 31 | Ultrasound assisted extraction of bioactive compounds from pomegranate (Punica granatum L.) peel Parvin Sharayei, Elham Azarpazhooh, Shahin Zomorodi et al. · LWT | 13 Nov 2018 | 197 |
| 32 | Microplastic pollution as a grand challenge in marine research: A closer look at their adverse impacts on the immune and reproductive systems Moslem Sharifinia, Zahra Afshari Bahmanbeigloo, Mehrzad Keshavarzifard et al. · Ecotoxicology and Environmental Safety | 11 Aug 2020 | 195 |
| 33 | Flood Intensification due to Changes in Land Use Bahram Saghafian, Hassan Farazjoo, Babak Bozorgy et al. · Water Resources Management | 27 Aug 2007 | 190 |
| 34 | Salicylic acid alleviated the effect of drought stress on photosynthetic characteristics and leaf protein pattern in winter wheat Masoumeh Khalvandi, Adel Siosemardeh, Ebrahim Roohi et al. · Heliyon | 2021 | 189 |
| 35 | Susceptibility Mapping of Soil Water Erosion Using Machine Learning Models Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin et al. · Water | 14 Jul 2020 | 184 |
| 36 | Clear-Water Local Scour around Pile Groups in Shallow-Water Flow Ata Amini, Bruce William Melville, Thamer Mohammad Ali et al. · Journal of Hydraulic Engineering | 13 Jul 2011 | 176 |
| 37 | Deep learning neural networks for spatially explicit prediction of flash flood probability Mahdi Panahi, Abolfazl Jaafari, Ataollah Shirzadi et al. · Geoscience Frontiers | 17 Dec 2020 | 168 |
| 38 | Effects of irrigation with secondary treated wastewater on physicochemical and microbial properties of soil and produce safety in a semi-arid area Marzieh Farhadkhani, Mahnaz Nikaeen, Ghasem Yadegarfar et al. · Water Research | 19 Jul 2018 | 166 |
| 39 | Development and analysis of the Soil Water Infiltration Global database Mehdi Rahmati et al. · Earth system science data | 10 Jul 2018 | 166 |
| 40 | Application of green remediation on soil salinity treatment: A review on halophytoremediation Hamideh Nouri, Sattar Chavoshi Borujeni, Ramkrishna Nirola et al. · Process Safety and Environmental Protection | 16 Feb 2017 | 166 |
| 41 | A machine learning framework for multi-hazards modeling and mapping in a mountainous area Saleh Yousefi, Hamid Reza Pourghasemi, Sayed Naeim Emami et al. · Scientific Reports | 22 Jul 2020 | 161 |
| 42 | Land use and land cover classification over a large area in Iran based on single date analysis of satellite imagery Hossein Saadat, Jan Adamowski, R. B. Bonnell et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 12 May 2011 | 159 |
| 43 | Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins Amirhosein Mosavi, Mohammad Golshan, Saeid Janizadeh et al. · Geocarto International | 28 Sep 2020 | 156 |
| 44 | Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain Bahram Choubin, Mahsa Abdolshahnejad, Ehsan Moradi et al. · The Science of The Total Environment | 4 Oct 2019 | 156 |
| 45 | Lignocellulose degradation by rumen bacterial communities: New insights from metagenome analyses Javad Gharechahi, Mohammad Farhad Vahidi, Golandam Sharifi et al. · Environmental Research | 21 Apr 2023 | 155 |
| 46 | Watershed health assessment using the pressure–state–response (PSR) framework Zeinab Hazbavi, Seyed Hamidreza Sadeghi, Mehdi Gholamalifard et al. · Land Degradation and Development | 7 Aug 2019 | 152 |
| 47 | Synergistic reinforcing effect of TiO2 and montmorillonite on potato starch nanocomposite films: Thermal, mechanical and barrier properties Seyed Amir Oleyaei, Hadi Almasi, Babak Ghanbarzadeh et al. · Carbohydrate Polymers | 16 Jul 2016 | 152 |
| 48 | Biodegradation of polyethylene terephthalate waste using Streptomyces species and kinetic modeling of the process Ali Farzi, Alireza Dehnad, Afsaneh F. Fotouhi · Biocatalysis and Agricultural Biotechnology | 6 Nov 2018 | 150 |
| 49 | Microplastics distribution, abundance and composition in sediment, fishes and benthic organisms of the Gorgan Bay, Caspian sea Tahereh Bagheri, Mohammad Gholizadeh, Safoura Abarghouei et al. · Chemosphere | 25 May 2020 | 148 |
| 50 | Switching to nanonutrients for sustaining agroecosystems and environment: the challenges and benefits in moving up from ionic to particle feeding Ajay Kumar Bhardwaj, Geeta Arya, Raj Kumar et al. · Journal of Nanobiotechnology | 4 Jan 2022 | 146 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.