Markus Schläpfer

2.6k total citations · 2 hit papers
25 papers, 1.7k citations indexed

About

Markus Schläpfer is a scholar working on Transportation, Statistical and Nonlinear Physics and Global and Planetary Change. According to data from OpenAlex, Markus Schläpfer has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Transportation, 7 papers in Statistical and Nonlinear Physics and 6 papers in Global and Planetary Change. Recurrent topics in Markus Schläpfer's work include Human Mobility and Location-Based Analysis (12 papers), Urban Transport and Accessibility (9 papers) and Complex Network Analysis Techniques (7 papers). Markus Schläpfer is often cited by papers focused on Human Mobility and Location-Based Analysis (12 papers), Urban Transport and Accessibility (9 papers) and Complex Network Analysis Techniques (7 papers). Markus Schläpfer collaborates with scholars based in United States, Switzerland and Singapore. Markus Schläpfer's co-authors include Thomas W. Crowther, Kailiang Yu, Simone Fatichi, Paolo Burlando, Naika Meili, Gabriele Manoli, Gabriel G. Katul, Elie Bou‐Zeid, Carlo Ratti and Geoffrey B. West and has published in prestigious journals such as Nature, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Markus Schläpfer

23 papers receiving 1.6k citations

Hit Papers

Magnitude of urban heat islands largely explained by clim... 2019 2026 2021 2023 2019 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Schläpfer United States 11 738 613 542 416 263 25 1.7k
Guoqiang Shen China 18 307 0.4× 633 1.0× 286 0.5× 202 0.5× 234 0.9× 70 1.3k
Guofeng Cao United States 22 340 0.5× 536 0.9× 278 0.5× 549 1.3× 69 0.3× 57 1.8k
Yuhao Kang United States 26 212 0.3× 625 1.0× 402 0.7× 928 2.2× 332 1.3× 66 2.3k
Fu Ren China 24 135 0.2× 832 1.4× 329 0.6× 740 1.8× 229 0.9× 66 2.1k
Hongchao Fan China 26 696 0.9× 353 0.6× 107 0.2× 526 1.3× 343 1.3× 122 2.3k
George Grekousis China 18 218 0.3× 618 1.0× 534 1.0× 437 1.1× 152 0.6× 43 1.6k
Emanuele Strano United Kingdom 13 129 0.2× 684 1.1× 168 0.3× 667 1.6× 725 2.8× 19 1.6k
Yeran Sun United Kingdom 22 125 0.2× 301 0.5× 212 0.4× 645 1.6× 178 0.7× 59 1.3k
Jinbao Zhang China 21 578 0.8× 1.5k 2.5× 1.4k 2.5× 1.3k 3.0× 390 1.5× 29 3.1k
Donna J. Peuquet United States 22 199 0.3× 225 0.4× 170 0.3× 215 0.5× 264 1.0× 66 2.3k

Countries citing papers authored by Markus Schläpfer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Schläpfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schläpfer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schläpfer. A scholar is included among the top collaborators of Markus Schläpfer 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 Markus Schläpfer. Markus Schläpfer 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.
Tan, Zhulin, et al.. (2025). Assessing the space-use efficiency of French cities by coupling city volumes with mobile data traffic. Sustainable Cities and Society. 124. 106292–106292. 2 indexed citations
3.
Lee, Bu‐Sung, et al.. (2023). Quantifying the uncertainty of mobility flow predictions using Gaussian processes. Transportation. 51(6). 2301–2322. 2 indexed citations
4.
Schläpfer, Markus, Lei Dong, Kevin O’Keeffe, et al.. (2021). The universal visitation law of human mobility. Nature. 593(7860). 522–527. 276 indexed citations breakdown →
5.
Salat, Hadrien, Markus Schläpfer, Zbigniew Smoreda, & Stefania Rubrichi. (2021). Analysing the impact of electrification on rural attractiveness in Senegal with mobile phone data. Royal Society Open Science. 8(10). 201898–201898. 7 indexed citations
6.
Gomes, Eduardo, Arnaud Banos, Patrícia Abrantes, Jorge Rocha, & Markus Schläpfer. (2020). Future land use changes in a peri-urban context: Local stakeholder views. The Science of The Total Environment. 718. 137381–137381. 23 indexed citations
7.
Salat, Hadrien, Zbigniew Smoreda, & Markus Schläpfer. (2020). A method to estimate population densities and electricity consumption from mobile phone data in developing countries. PLoS ONE. 15(6). e0235224–e0235224. 13 indexed citations
8.
Manoli, Gabriele, Simone Fatichi, Markus Schläpfer, et al.. (2020). Reply to Martilli et al. (2020): Summer average urban-rural surface temperature differences do not indicate the need for urban heat reduction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 14 indexed citations
9.
Manoli, Gabriele, Simone Fatichi, Markus Schläpfer, et al.. (2019). Magnitude of urban heat islands largely explained by climate and population. Nature. 573(7772). 55–60. 832 indexed citations breakdown →
10.
Schläpfer, Markus, et al.. (2018). Urban Electric Load Forecasting with Mobile Phone Location Data. DR-NTU (Nanyang Technological University). 1–5. 2 indexed citations
11.
Zhong, Chen, Markus Schläpfer, Stéfan Müller Arisona, et al.. (2015). Revealing centrality in the spatial structure of cities from human activity patterns. Urban Studies. 54(2). 437–455. 132 indexed citations
12.
Raschke, Mathias, Markus Schläpfer, & Konstantinos Trantopoulos. (2014). Copula-based modeling of degree-correlated networks. Journal of Statistical Mechanics Theory and Experiment. 2014(2). P02019–P02019. 4 indexed citations
13.
Schläpfer, Markus & Ľuboš Buzna. (2012). Decelerated spreading in degree-correlated networks. Physical Review E. 85(1). 15101–15101. 13 indexed citations
14.
Trantopoulos, Konstantinos, Markus Schläpfer, & Dirk Helbing. (2011). Toward Sustainability of Complex Urban Systems through Techno-Social Reality Mining. Environmental Science & Technology. 45(15). 6231–6232. 6 indexed citations
15.
Schläpfer, Markus & Pierluigi Mancarella. (2011). Probabilistic Modeling and Simulation of Transmission Line Temperatures Under Fluctuating Power Flows. IEEE Transactions on Power Delivery. 26(4). 2235–2243. 37 indexed citations
16.
Raschke, Mathias, et al.. (2010). Measuring degree-degree association in networks. Physical Review E. 82(3). 37102–37102. 20 indexed citations
17.
Schläpfer, Markus & Konstantinos Trantopoulos. (2010). Lattice splitting under intermittent flows. Physical Review E. 81(5). 4 indexed citations
18.
Schläpfer, Markus, et al.. (2008). Stress induced degradation dynamics in complex networks. 6. 1–5. 2 indexed citations
19.
Eusgeld, Irene, Wolfgang Kröger, Giovanni Sansavini, Markus Schläpfer, & Enrico Zio. (2008). The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures. Reliability Engineering & System Safety. 94(5). 954–963. 92 indexed citations
20.
Gheorghe, Adrian V. & Markus Schläpfer. (2006). Ubiquity of Digitalization and Risks of Interdependent Critical Infrastructures. 580–584. 9 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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