A. Stewart Fotheringham

Economics and Econometrics · 2001–2019

A researcher in the Science corpus: 16 papers; trusts 29 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 54 citations into it; #8,884 of 23,481 by trust here, #8,121 by citations
• Statistics and Probability — 48 citations into it; #12,789 of 12,932 by trust here, #9,233 by citations
• Artificial Intelligence — 18 citations into it
• Global and Planetary Change — 16 citations into it; #6,874 of 10,225 by trust here, #7,962 by citations
• Environmental Engineering — 14 citations into it
• Molecular Biology — 10 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Transportation — 9 citations into it; #612 of 2,062 by trust here, #994 by citations

Whom A. Stewart Fotheringham trusts overall

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

1. Mark Newman
2. Tomoki Nakaya
3. William S. Cleveland
4. David C. Wheeler
5. Chris Brunsdon
6. Christian Hennig
7. Michelle Girvan
8. Eric R. Ziegel
9. Daniel A. Griffith
10. Elizabeth A. Leicht

Who trusts A. Stewart Fotheringham overall

1. Maryam Kordi
2. Hamid Reza Pourghasemi
3. Taylor M. Oshan
4. Hamid Reza Moradi
5. Binbin Lu
6. Jin Li
7. Tomoki Nakaya
8. Martin Charlton
9. Michael Löchl
10. Daisuke Murakami

Papers from A. Stewart Fotheringham's perspective

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

1. The Structure and Function of Complex Networks
2. Generalized Linear Models
3. Modularity and community structure in networks.
4. Fast algorithm for detecting community structure in networks.
5. Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression: The Geographically Weighted Lasso
6. Geographically weighted Poisson regression for disease association mapping (Statistics in Medicine)
7. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity
8. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
9. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach
10. Robust Locally Weighted Regression and Smoothing Scatterplots

Their papers

• Geographically weighted Poisson regression for disease association mapping (2005) — 545 citations
• Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor (2011) — 60 citations
• Inference in Multiscale Geographically Weighted Regression (2019) — 371 citations
• A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques (2018) — 69 citations
• Spatial Variations in School Performance: A Local Analysis Using Geographically Weighted Regression (2001) — 248 citations
• Principal Component Analysis on Spatial Data: An Overview (2013) — 453 citations
• Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data (2014) — 375 citations
• On the measurement of bias in geographically weighted regression models (2019) — 58 citations
• Reproducibility and Replicability in Geographical Analysis (2019) — 91 citations
• mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale (2018) — 703 citations
• Spatially Weighted Interaction Models (SWIM) (2016) — 47 citations
• The Multiple Testing Issue in Geographically Weighted Regression (2016) — 146 citations
• Network-Based Functional Regions (2011) — 126 citations
• The Zone Definition Problem in Location-Allocation Modeling (2010) — 61 citations
• The Sage handbook of spatial analysis (2009) — 409 citations
• Spatial Interaction Models (2001) — 57 citations