Mahdi Panahi

Management, Monitoring, Policy and Law · 2017–2022

A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mahdi Panahi trusts overall

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

  1. Biswajeet Pradhan
  2. D. Tien Bui
  3. Robert M. O’Brien
  4. Alexander Brenning
  5. Hamid Reza Pourghasemi
  6. Binh Thai Pham
  7. Haoyuan Hong
  8. Khabat Khosravi
  9. Violeta Keršulienė
  10. Joaquín Derrac

Who trusts Mahdi Panahi overall

  1. Jin Duan
  2. Wei Chen
  3. Dong Van Dao
  4. Panagiotis G. Asteris

Papers from Mahdi Panahi's perspective

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

  1. Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran (Earth Science Informatics)
  2. 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)
  3. Spatial prediction models for landslide hazards: review, comparison and evaluation
  4. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
  5. Data Mining Practical Machine Learning Tools and Techniques
  6. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  7. Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India (Environmental Processes)
  8. A Caution Regarding Rules of Thumb for Variance Inflation Factors
  9. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of
  10. Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara)

Their papers