A. G. Jirandeh

Management, Monitoring, Policy and Law · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom A. G. Jirandeh trusts overall

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

  1. Biswajeet Pradhan
  2. D. Tien Bui
  3. Isik Yilmaz
  4. Saro Lee
  5. Candan Gokceoglu
  6. Hyun-Joo Oh
  7. Hakan Ahmet Nefeslioglu

Who trusts A. G. Jirandeh overall

  1. Binh Thai Pham
  2. Hamid Reza Pourghasemi
  3. Wei Chen
  4. D. Tien Bui
  5. Taskin Kavzoglu
  6. Seyed Amir Naghibi

Papers from A. G. Jirandeh's perspective

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

  1. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
  2. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
  3. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
  4. Landslide susceptibility mapping : A comparison of logistic regression and neural networks methods in a medium scale study, Hendek Region (Turkey)
  5. Application of an evidential belief function model in landslide susceptibility mapping (Computational Geosciences)
  6. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach
  7. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network
  8. Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
  9. Comparative evaluation of landslide susceptibility in Minamata area, Japan
  10. Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

Their papers