Candan Gokceoglu

Management, Monitoring, Policy and Law · 1996–2013

A researcher in the Science corpus: 14 papers; trusts 9 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Candan Gokceoglu trusts overall

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

  1. Saro Lee
  2. Hakan Ahmet Nefeslioglu
  3. Biswajeet Pradhan
  4. Peter M. Atkinson
  5. Mehmet Lütfi Süzen
  6. Fausto Guzzetti
  7. Isik Yilmaz
  8. D. Tien Bui
  9. Alexander Brenning

Who trusts Candan Gokceoglu overall

  1. Biswajeet Pradhan
  2. Isik Yilmaz
  3. Saro Lee
  4. Hamid Reza Pourghasemi
  5. Wei Chen
  6. Aykut Akgün
  7. Adeyemi Emman Aladejare
  8. Hakan Ahmet Nefeslioglu
  9. D. Tien Bui
  10. Qiqing Wang

Papers from Candan Gokceoglu's perspective

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

  1. Statistical analysis of landslide susceptibility at Yongin, Korea
  2. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
  3. Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey)
  4. Landslide hazard mapping based on geological attributes
  5. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
  6. 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)
  7. Landslide susceptibility mapping : A comparison of logistic regression and neural networks methods in a medium scale study, Hendek Region (Turkey)
  8. Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)
  9. Application of logistic regression for landslide susceptibility zoning of Cekmece Area, Istanbul, Turkey
  10. Spatial prediction models for landslide hazards: review, comparison and evaluation

Their papers