| Assessing the impacts of 1.5 global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b) K Frieler, S Lange, F Piontek, CPO Reyer, J Schewe, L Warszawski, ... Geoscientific Model Development 10 (12), 4321-4345, 2017 | 726 | 2017 |
| Estimation of gridded population and GDP scenarios with spatially explicit statistical downscaling D Murakami, Y Yamagata Sustainability 11 (7), 2106, 2019 | 232 | 2019 |
| A route map for successful applications of geographically weighted regression A Comber, C Brunsdon, M Charlton, G Dong, R Harris, B Lu, Y Lü, ... Geographical Analysis 55 (1), 155-178, 2023 | 200 | 2023 |
| Random effects specifications in eigenvector spatial filtering: a simulation study D Murakami, DA Griffith Journal of Geographical Systems 17 (4), 311-331, 2015 | 117 | 2015 |
| A Moran coefficient-based mixed effects approach to investigate spatially varying relationships D Murakami, T Yoshida, H Seya, DA Griffith, Y Yamagata Spatial Statistics 19, 68-89, 2017 | 106 | 2017 |
| The importance of scale in spatially varying coefficient modeling D Murakami, B Lu, P Harris, C Brunsdon, M Charlton, T Nakaya, ... Annals of the American Association of Geographers, 2019 | 96 | 2019 |
| Eigenvector spatial filtering for large data sets: fixed and random effects approaches D Murakami, DA Griffith Geographical analysis, 2018 | 87 | 2018 |
| Lipopolysaccharide inhalation exacerbates allergic airway inflammation by activating mast cells and promoting Th2 responses D Murakami, H Yamada, T Yajima, A Masuda, S Komune, Y Yoshikai Clinical & Experimental Allergy 37 (3), 339-347, 2007 | 82 | 2007 |
| Value of urban views in a bay city: Hedonic analysis with the spatial multilevel additive regression (SMAR) model Y Yamagata, D Murakami, T Yoshida, H Seya, S Kuroda Landscape and Urban Planning 151, 89-102, 2016 | 80 | 2016 |
| Gridded GDP projections compatible with the five SSPs (shared socioeconomic pathways) D Murakami, T Yoshida, Y Yamagata Frontiers in Built Environment 7, 760306, 2021 | 79 | 2021 |
| Mapping building carbon emissions within local climate zones in Shanghai Y Wu, A Sharifi, P Yang, H Borjigin, D Murakami, Y Yamagata Energy Procedia 152, 815-822, 2018 | 74 | 2018 |
| Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels D Murakami, N Tsutsumida, T Yoshida, T Nakaya, B Lu Annals of the American Association of Geographers, 2021 | 70 | 2021 |
| Spatially varying coefficient modeling for large datasets: Eliminating N from spatial regressions D Murakami, DA Griffith Spatial Statistics, 2019 | 57 | 2019 |
| Estimating water–food–ecosystem trade-offs for the global negative emission scenario (IPCC-RCP2. 6) Y Yamagata, N Hanasaki, A Ito, T Kinoshita, D Murakami, Q Zhou Sustainability Science 13 (2), 301-313, 2018 | 57 | 2018 |
| Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis D Yu, D Murakami, Y Zhang, X Wu, D Li, X Wang, G Li Transportation Research Part B: Methodological 133, 21-37, 2020 | 50 | 2020 |
| Application of LASSO to the eigenvector selection problem in eigenvector‐based spatial filtering H Seya, D Murakami, M Tsutsumi, Y Yamagata Geographical analysis 47 (3), 284-299, 2015 | 48 | 2015 |
| Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset T Yoshida, D Murakami, H Seya The Journal of Real Estate Finance and Economics 69 (1), 1-28, 2024 | 45 | 2024 |
| Spatially clustered regression S Sugasawa, D Murakami Spatial Statistics 44, 100525, 2021 | 34 | 2021 |
| Land price maps of Tokyo metropolitan area M Tsutsumi, A Shimada, D Murakami Procedia-Social and Behavioral Sciences 21, 193-202, 2011 | 34 | 2011 |
| Spatial modeling and design of smart communities T Yoshida, Y Yamagata, S Chang, V de Gooyert, H Seya, D Murakami, ... Urban Systems Design, 199-255, 2020 | 30 | 2020 |
