Stefan Leyk

4.6k total citations · 2 hit papers
107 papers, 2.7k citations indexed

About

Stefan Leyk is a scholar working on Global and Planetary Change, Transportation and Ecology. According to data from OpenAlex, Stefan Leyk has authored 107 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Global and Planetary Change, 21 papers in Transportation and 19 papers in Ecology. Recurrent topics in Stefan Leyk's work include Land Use and Ecosystem Services (38 papers), Impact of Light on Environment and Health (24 papers) and Urban Transport and Accessibility (18 papers). Stefan Leyk is often cited by papers focused on Land Use and Ecosystem Services (38 papers), Impact of Light on Environment and Health (24 papers) and Urban Transport and Accessibility (18 papers). Stefan Leyk collaborates with scholars based in United States, Switzerland and Italy. Stefan Leyk's co-authors include Yao‐Yi Chiang, Craig A. Knoblock, Johannes Uhl, Deborah Balk, R. Boesch, Barbara P. Buttenfield, Robert Weibel, Nicholas N. Nagle, Bryan Jones and Weiwei Duan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Stefan Leyk

102 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Digital Map Processing Techniques

2014 453 citations Yao‐Yi Chiang, Stefan Leyk et al. profile →
The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use

2019 245 citations Stefan Leyk, Andrea E. Gaughan et al. Earth system science data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stefan Leyk United States	27	1.1k	424	385	378	298	107	2.7k
Budhendra Bhaduri United States	25	1.6k 1.5×	724 1.7×	705 1.8×	264 0.7×	205 0.7×	99	3.3k
Ali Asghar Alesheikh Iran	25	845 0.8×	337 0.8×	424 1.1×	299 0.8×	164 0.6×	204	3.1k
Qingyun Du China	30	1.1k 1.1×	818 1.9×	500 1.3×	525 1.4×	177 0.6×	138	3.3k
Chuanrong Zhang United States	30	1.3k 1.2×	407 1.0×	831 2.2×	252 0.7×	115 0.4×	87	2.8k
Michael Wurm Germany	31	1.7k 1.6×	450 1.1×	606 1.6×	342 0.9×	162 0.5×	135	3.1k
Suzana Dragićević Canada	31	1.7k 1.6×	406 1.0×	309 0.8×	552 1.5×	194 0.7×	121	3.3k
Urška Demšar United Kingdom	21	614 0.6×	600 1.4×	129 0.3×	493 1.3×	212 0.7×	77	2.6k
Ashton Shortridge United States	28	762 0.7×	274 0.6×	393 1.0×	552 1.5×	138 0.5×	67	2.4k
Yingjie Hu United States	30	1.4k 1.3×	1.1k 2.6×	531 1.4×	203 0.5×	265 0.9×	127	3.6k
Piotr Jankowski United States	36	1.6k 1.5×	662 1.6×	450 1.2×	248 0.7×	341 1.1×	112	4.7k

Countries citing papers authored by Stefan Leyk

Since Specialization

Citations

This map shows the geographic impact of Stefan Leyk'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 Stefan Leyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Leyk more than expected).

Fields of papers citing papers by Stefan Leyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Leyk. 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 Stefan Leyk. The network helps show where Stefan Leyk may publish in the future.

Co-authorship network of co-authors of Stefan Leyk

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Leyk. A scholar is included among the top collaborators of Stefan Leyk 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 Stefan Leyk. Stefan Leyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Flores, Aaron B., et al.. (2025). Flood risk and the built environment: big property data for environmental justice and social vulnerability analysis. Population and Environment. 47(1).

Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis, et al.. (2024). Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data. International Journal of Digital Earth. 17(1). 44 indexed citations

Connor, Dylan S., Johannes Uhl, Catherine V. Talbot, et al.. (2024). Spatial poverty dynamics and social mobility in rural America. Population Space and Place. 30(8). 3 indexed citations

Leyk, Stefan, et al.. (2024). An Integrated Multi-Source Dataset for Measuring Settlement Evolution in the United States from 1810 to 2020. Scientific Data. 11(1). 275–275. 4 indexed citations

Karsznia, Izabela, et al.. (2023). Data enrichment and supervised learning in road and settlement feature selection for small scale maps. Abstracts of the ICA. 6. 1–2. 1 indexed citations

Uhl, Johannes, et al.. (2023). HISDAC-ES: historical settlement data compilation for Spain (1900–2020). Earth system science data. 15(10). 4713–4747. 6 indexed citations

Mahood, Adam L., Maxwell B. Joseph, Michael J. Koontz, et al.. (2023). Ten simple rules for working with high resolution remote sensing data. SHILAP Revista de lepidopterología. 3.

Uhl, Johannes, Lori M. Hunter, Stefan Leyk, et al.. (2023). Place-level urban–rural indices for the United States from 1930 to 2018. Landscape and Urban Planning. 236. 104762–104762. 20 indexed citations

Uhl, Johannes & Stefan Leyk. (2022). MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900 – 2015). arXiv (Cornell University). 12 indexed citations

10.

Boo, Gianluca, Peter M. Macharia, Paul Ouma, et al.. (2022). Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa. SHILAP Revista de lepidopterología. 2(1). 117–117. 31 indexed citations

11.

Knoblock, Craig A., et al.. (2022). Building spatio-temporal knowledge graphs from vectorized topographic historical maps. Semantic Web. 14(3). 527–549. 8 indexed citations

12.

Hunter, Lori M., et al.. (2020). Change in U.S. Small Town Community Capitals, 1980–2010. Population Research and Policy Review. 39(5). 913–940. 8 indexed citations

13.

Connor, Dylan S., et al.. (2019). How Entrenched Is the Spatial Structure of Inequality in Cities? Evidence from the Integration of Census and Housing Data for Denver from 1940 to 2016. Annals of the American Association of Geographers. 110(4). 1022–1039. 30 indexed citations

14.

Leyk, Stefan, Andrea E. Gaughan, Susana B. Adamo, et al.. (2019). Allocating people to pixels: A review of large-scale gridded population data products and their fitness for use. Joint Research Centre (European Commission). 12 indexed citations

15.

Leyk, Stefan, Andrea E. Gaughan, Susana B. Adamo, et al.. (2019). The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use. Earth system science data. 11(3). 1385–1409. 245 indexed citations breakdown →

16.

Leyk, Stefan, et al.. (2019). The heterogeneity and change in the urban structure of metropolitan areas in the United States, 1990–2010. Scientific Data. 6(1). 321–321. 23 indexed citations

17.

Leyk, Stefan, et al.. (2018). Enhancing areal interpolation frameworks through dasymetric refinement to create consistent population estimates across censuses. International Journal of Geographical Information Systems. 32(10). 1948–1976. 12 indexed citations

18.

Leyk, Stefan, et al.. (2018). Data-enriched interpolation for temporally consistent population compositions. GIScience & Remote Sensing. 56(3). 430–461. 17 indexed citations

19.

Boo, Gianluca, Sara Irina Fabrikant, & Stefan Leyk. (2015). A NOVEL APPROACH TO VETERINARY SPATIAL EPIDEMIOLOGY: DASYMETRIC REFINEMENT OF THE SWISS DOG TUMOR REGISTRY DATA. SHILAP Revista de lepidopterología. II-3/W5. 263–269. 6 indexed citations

20.

Ruther, Matt, Stefan Leyk, & Barbara P. Buttenfield. (2015). Comparing the effects of an NLCD-derived dasymetric refinement on estimation accuracies for multiple areal interpolation methods. GIScience & Remote Sensing. 52(2). 158–178. 24 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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