Marco Helbich
Economics and Econometrics · 2014–2021
A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 30 citations into it
- Transportation — 22 citations into it; #1,101 of 2,062 by trust here, #1,339 by citations
- Health, Toxicology and Mutagenesis — 21 citations into it
- Statistics and Probability — 20 citations into it
- Global and Planetary Change — 12 citations into it
- Environmental Engineering — 11 citations into it
- Artificial Intelligence — 10 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Marco Helbich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel P. McMillen
- Yee Leung
- Changlin Mei
- Peter M. Robinson
- K. Lancaster
- Mats Wilhelmsson
- S. Malpezzi
- Edzer J. Pebesma
- Leo Breiman
- Jerome H. Friedman
Who trusts Marco Helbich overall
Papers from Marco Helbich's perspective
Ordered by how strongly the researchers Marco Helbich trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model
- Random Forests
- Support-Vector Networks
- Pattern Recognition and Machine Learning
- ROOT-N-CONSISTENT SEMIPARAMETRIC REGRESSION
- Greedy function approximation: A gradient boosting machine.
- The Nature of Statistical Learning Theory
- Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression
- Multicollinearity and correlation among local regression coefficients in geographically weighted regression (Journal of Geographical Systems)
Their papers
- Can’t see the wood for the trees? An assessment of street view- and satellite-derived greenness measures in relation to mental health (2021) — 101 citations
- Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States (2021) — 725 citations
- A comparative study of machine learning classifiers for modeling travel mode choice (2017) — 400 citations
- Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands (2016) — 197 citations
- Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria (2014) — 199 citations