Ovidiu Csillik

Media Technology · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 17 citations into it; #1,607 of 3,621 by trust here, #2,178 by citations
• Ecology — 15 citations into it; #3,666 of 10,717 by trust here, #8,924 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Global and Planetary Change — 7 citations into it; #3,604 of 10,225 by trust here, #7,962 by citations
• Atmospheric Science — 6 citations into it
• Environmental Engineering — 6 citations into it

Whom Ovidiu Csillik trusts overall

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

1. Thomas Blaschke
2. Simon N. Wood
3. Lucian Dragut
4. Koreen Millard
5. Rick L. Lawrence
6. Baudouin Desclée
7. Pontus Olofsson
8. Charlotte Pelletier
9. Murray Richardson
10. Dirk Tiede

Who trusts Ovidiu Csillik overall

1. Michel Eustáquio Dantas Chaves
2. Joel Segarra

Papers from Ovidiu Csillik's perspective

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

1. Random Forests for land cover classification (Pattern Recognition Letters)
2. Object based image analysis for remote sensing
3. A Coefficient of Agreement for Nominal Scales
4. Forest change detection by statistical object-based method
5. Random forest in remote sensing: A review of applications and future directions
6. Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery
7. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
8. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
9. Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas
10. Mapping invasive plants using hyperspectral imagery and Breiman Cutler classifications (RandomForest)

Their papers

• Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis (2018) — 848 citations
• Automated parameterisation for multi-scale image segmentation on multiple layers (2014) — 631 citations