OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping
George Papaioannou, Lampros Vasiliades, Athanasios Loukas
Water Resources Management (2014) Vol. 29, Iss. 2, pp. 399-418
Closed Access | Times Cited: 284

Showing 1-25 of 284 citing articles:

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Khabat Khosravi, Binh Thai Pham, Kamran Chapi, et al.
The Science of The Total Environment (2018) Vol. 627, pp. 744-755
Closed Access | Times Cited: 641

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran
Omid Rahmati, Hamid Reza Pourghasemi, Hossein Zeinivand
Geocarto International (2015) Vol. 31, Iss. 1, pp. 42-70
Closed Access | Times Cited: 518

Suitability estimation for urban development using multi-hazard assessment map
George D. Bathrellos, Hariklia D. Skilodimou, Konstantinos Chousianitis, et al.
The Science of The Total Environment (2016) Vol. 575, pp. 119-134
Closed Access | Times Cited: 437

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis
Omid Rahmati, Hossein Zeinivand, Mosa Besharat
Geomatics Natural Hazards and Risk (2015) Vol. 7, Iss. 3, pp. 1000-1017
Open Access | Times Cited: 398

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Haoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, et al.
The Science of The Total Environment (2018) Vol. 621, pp. 1124-1141
Closed Access | Times Cited: 375

Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas
Ljubomir Gigović, Dragan Pamučar, Zoran Bajić, et al.
Water (2017) Vol. 9, Iss. 6, pp. 360-360
Open Access | Times Cited: 278

Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire)
Jean Homian Danumah, Samuel Nii Odai, Bachir Saley, et al.
Geoenvironmental Disasters (2016) Vol. 3, Iss. 1
Open Access | Times Cited: 258

Flood hazard mapping methods: A review
Rofiat Bunmi Mudashiru, Nuridah Sabtu, Ismail Abustan, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126846-126846
Closed Access | Times Cited: 220

Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty
Advances in Space Research (2019) Vol. 65, Iss. 5, pp. 1466-1489
Closed Access | Times Cited: 209

GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
Binh Thai Pham, Mohammadtaghi Avand, Saeid Janizadeh, et al.
Water (2020) Vol. 12, Iss. 3, pp. 683-683
Open Access | Times Cited: 203

GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Sk Ajim Ali, Farhana Parvin, Jana Vojteková, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 857-876
Open Access | Times Cited: 196

Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India
Sumit Das
Remote Sensing Applications Society and Environment (2019) Vol. 14, pp. 60-74
Closed Access | Times Cited: 187

Flood risk assessment in the Kosi megafan using multi-criteria decision analysis: A hydro-geomorphic approach
Kanchan Mishra, Rajiv Sinha
Geomorphology (2019) Vol. 350, pp. 106861-106861
Closed Access | Times Cited: 183

Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models
Safura Siahkamari, Ali Haghizadeh, Hossein Zeinivand, et al.
Geocarto International (2017) Vol. 33, Iss. 9, pp. 927-941
Closed Access | Times Cited: 175

A new approach to flood susceptibility assessment in data-scarce and ungauged regions based on GIS-based hybrid multi criteria decision-making method
Yousef Kanani‐Sadat, Reza Arabsheibani, Farid Karimipour, et al.
Journal of Hydrology (2019) Vol. 572, pp. 17-31
Closed Access | Times Cited: 160

Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger
International Journal of Disaster Risk Reduction (2021) Vol. 60, pp. 102327-102327
Closed Access | Times Cited: 113

AHP and TOPSIS based flood risk assessment- a case study of the Navsari City, Gujarat, India
Azazkhan Ibrahimkhan Pathan, Prasit Girish Agnihotri, Saif Said, et al.
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 7
Closed Access | Times Cited: 101

Flood risk analysis using gis-based analytical hierarchy process: a case study of Bitlis Province
M. Cihan Aydın, Elif SEVGİ BİRİNCİOĞLU
Applied Water Science (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 68

A GIS-Based Flood Risk Assessment Using the Decision-Making Trial and Evaluation Laboratory Approach at a Regional Scale
Eirini Efraimidou, Mike Spiliotis
Environmental Processes (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 17

Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models
Omid Rahmati, Hamid Reza Pourghasemi
Water Resources Management (2017) Vol. 31, Iss. 5, pp. 1473-1487
Closed Access | Times Cited: 155

A spatial assessment framework for evaluating flood risk under extreme climates
Yun Chen, Rui Liu, D. J. Barrett, et al.
The Science of The Total Environment (2015) Vol. 538, pp. 512-523
Closed Access | Times Cited: 153

Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach
George Papaioannou, Athanasios Loukas, Lampros Vasiliades, et al.
Natural Hazards (2016) Vol. 83, Iss. S1, pp. 117-132
Closed Access | Times Cited: 147

Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas
Fatemeh Falah, Omid Rahmati, Mohammad Rostami, et al.
Elsevier eBooks (2019), pp. 323-336
Closed Access | Times Cited: 142

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