Omid Rahmati

Global and Planetary Change · 2015–2022

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 66 citations into it; #9,030 of 10,225 by trust here, #5,787 by citations
• Management, Monitoring, Policy and Law — 57 citations into it
• Artificial Intelligence — 30 citations into it
• Mechanical Engineering — 22 citations into it
• Ecological Modeling — 15 citations into it
• Ecology — 13 citations into it
• Nature and Landscape Conservation — 11 citations into it
• Statistics and Probability — 10 citations into it

Whom Omid Rahmati trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Biswajeet Pradhan
2. Trevor J. Hastie
3. Robert M. O’Brien
4. D. Tien Bui
5. R. P. Anderson
6. Hamid Reza Pourghasemi
7. Taskin Kavzoglu
8. Michael Negnevitsky
9. Leo Breiman

Who trusts Omid Rahmati overall

1. Patrick Schratz

Papers from Omid Rahmati's perspective

Ordered by how strongly the researchers Omid Rahmati trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
2. Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela
3. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
4. Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (Natural Hazards)
5. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS (Computational Geosciences)
6. Data Mining Practical Machine Learning Tools and Techniques
7. Predicting distributions of Mexican birds using ecological niche modelling methods
8. SPLIT SELECTION METHODS FOR CLASSIFICATION TREES
9. Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran (Earth Science Informatics)
10. A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers (Expert systems with applications)

Their papers

• Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates (2022) — 46 citations
• The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers (2020) — 120 citations
• 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 (2020) — 334 citations
• Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques (2019) — 369 citations
• Prediction of the landslide susceptibility: Which algorithm, which precision? (2018) — 463 citations
• Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS (2015) — 463 citations