Taylor M. Oshan

2.7k total citations · 2 hit papers
35 papers, 1.9k citations indexed

About

Taylor M. Oshan is a scholar working on Economics and Econometrics, Global and Planetary Change and Transportation. According to data from OpenAlex, Taylor M. Oshan has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 16 papers in Global and Planetary Change and 11 papers in Transportation. Recurrent topics in Taylor M. Oshan's work include Spatial and Panel Data Analysis (23 papers), Land Use and Ecosystem Services (16 papers) and Urban Transport and Accessibility (9 papers). Taylor M. Oshan is often cited by papers focused on Spatial and Panel Data Analysis (23 papers), Land Use and Ecosystem Services (16 papers) and Urban Transport and Accessibility (9 papers). Taylor M. Oshan collaborates with scholars based in United States, United Kingdom and Japan. Taylor M. Oshan's co-authors include A. Stewart Fotheringham, Levi John Wolf, Ziqi Li, Wei Kang, Hanchen Yu, Jordan P. Smith, Urška Demšar, Katarzyna Siła-Nowicka, Jed Long and Sergio J. Rey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Progress in Human Geography and Computers Environment and Urban Systems.

In The Last Decade

Taylor M. Oshan

34 papers receiving 1.8k citations

Hit Papers

mgwr: A Python Implementation of Multiscale Geographicall... 2019 2026 2021 2023 2019 2019 100 200 300 400 500

Peers

Taylor M. Oshan
Ibnu Syabri Indonesia
Levi John Wolf United Kingdom
Wei Kang United States
Guangqing Chi United States
Jing Yao China
Binbin Lu China
Jianquan Cheng United Kingdom
Mitchel Langford United Kingdom
Ibnu Syabri Indonesia
Taylor M. Oshan
Citations per year, relative to Taylor M. Oshan Taylor M. Oshan (= 1×) peers Ibnu Syabri

Countries citing papers authored by Taylor M. Oshan

Since Specialization
Citations

This map shows the geographic impact of Taylor M. Oshan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Taylor M. Oshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor M. Oshan more than expected).

Fields of papers citing papers by Taylor M. Oshan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor M. Oshan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Taylor M. Oshan. The network helps show where Taylor M. Oshan may publish in the future.

Co-authorship network of co-authors of Taylor M. Oshan

This figure shows the co-authorship network connecting the top 25 collaborators of Taylor M. Oshan. A scholar is included among the top collaborators of Taylor M. Oshan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Taylor M. Oshan. Taylor M. Oshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Iseki, Hiroyuki, et al.. (2025). Changes in the determinants of travel demand for the Washington DC Metrorail system after COVID-19: Evidence from a replication study. Case Studies on Transport Policy. 20. 101394–101394. 1 indexed citations
2.
Kang, Wei & Taylor M. Oshan. (2025). Scale and correlation in multiscale geographically weighted regression (MGWR). Journal of Geographical Systems. 27(3). 399–424. 2 indexed citations
3.
Oshan, Taylor M., et al.. (2024). Generalized Additive Spatial Smoothing (GASS): A Multiscale Regression Framework for Modeling Neighborhood Effects Across Spatial Supports. Annals of the American Association of Geographers. 115(1). 110–130. 1 indexed citations
4.
Fotheringham, A. Stewart, Taylor M. Oshan, & Ziqi Li. (2023). Multiscale Geographically Weighted Regression. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 15 indexed citations
5.
Oshan, Taylor M., et al.. (2022). A Scoping Review on the Multiplicity of Scale in Spatial Analysis. OSF Preprints (OSF Preprints).
6.
Fotheringham, A. Stewart, Hanchen Yu, Levi John Wolf, Taylor M. Oshan, & Ziqi Li. (2022). On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes. International Journal of Geographical Information Systems. 36(8). 1485–1502. 39 indexed citations
7.
Rey, Sergio J., Luc Anselin, Pedro Amaral, et al.. (2021). ThePySALEcosystem: Philosophy and Implementation. Geographical Analysis. 54(3). 467–487. 34 indexed citations
8.
Arribas‐Bel, Daniel, Verena C. Griess, Wei Kang, et al.. (2020). splot - visual analytics for spatial statistics. The Journal of Open Source Software. 5(47). 1882–1882. 3 indexed citations
9.
Oshan, Taylor M.. (2020). The spatial structure debate in spatial interaction modeling: 50 years on. OSF Preprints (OSF Preprints). 6 indexed citations
10.
Oshan, Taylor M., Jordan P. Smith, & A. Stewart Fotheringham. (2020). Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. International Journal of Health Geographics. 19(1). 11–11. 146 indexed citations
11.
Oshan, Taylor M., et al.. (2020). Targeting the spatial context of obesity determinants via multiscale geographically weighted regression. OSF Preprints (OSF Preprints). 4 indexed citations
12.
Rich, Steven, et al.. (2020). arcos and arcospy: R and Python packages for accessing the DEA ARCOS database from 2006 - 2014. The Journal of Open Source Software. 5(53). 2450–2450. 1 indexed citations
13.
Oshan, Taylor M.. (2020). Potential and Pitfalls of Big Transport Data for Spatial Interaction Models of Urban Mobility. The Professional Geographer. 72(4). 468–480. 7 indexed citations
14.
Oshan, Taylor M.. (2020). The spatial structure debate in spatial interaction modeling: 50 years on. Progress in Human Geography. 45(5). 925–950. 30 indexed citations
15.
Oshan, Taylor M., Ziqi Li, Wei Kang, Levi John Wolf, & A. Stewart Fotheringham. (2019). mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale. ISPRS International Journal of Geo-Information. 8(6). 269–269. 538 indexed citations breakdown →
16.
Oshan, Taylor M., Levi John Wolf, A. Stewart Fotheringham, et al.. (2019). A comment on geographically weighted regression with parameter-specific distance metrics. International Journal of Geographical Information Systems. 33(7). 1289–1299. 23 indexed citations
17.
Kang, Wei, Taylor M. Oshan, Levi John Wolf, et al.. (2019). A roundtable discussion: Defining urban data science. Environment and Planning B Urban Analytics and City Science. 46(9). 1756–1768. 16 indexed citations
18.
Yu, Hanchen, Stewart Fotheringham, Ziqi Li, et al.. (2018). Inference in multiscale geographically weighted regression. OSF Preprints (OSF Preprints). 11 indexed citations
19.
Oshan, Taylor M., Ziqi Li, Wei Kang, Levi John Wolf, & Alexander Stewart Fotheringham. (2018). mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale. OSF Preprints (OSF Preprints). 14 indexed citations
20.
Siła-Nowicka, Katarzyna, et al.. (2015). Analysis of human mobility patterns from GPS trajectories and contextual information. International Journal of Geographical Information Systems. 30(5). 881–906. 206 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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