Michael Leuenberger

605 total citations
11 papers, 468 citations indexed

About

Michael Leuenberger is a scholar working on Artificial Intelligence, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, Michael Leuenberger has authored 11 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Global and Planetary Change and 3 papers in Management, Monitoring, Policy and Law. Recurrent topics in Michael Leuenberger's work include Fire effects on ecosystems (4 papers), Landslides and related hazards (3 papers) and Neural Networks and Applications (2 papers). Michael Leuenberger is often cited by papers focused on Fire effects on ecosystems (4 papers), Landslides and related hazards (3 papers) and Neural Networks and Applications (2 papers). Michael Leuenberger collaborates with scholars based in Switzerland, Portugal and Belgium. Michael Leuenberger's co-authors include Mikhaïl Kanevski, Michel Jaboyedoff, Natan Micheletti, Andrea Pedrazzini, Sylvain Robert, Loris Foresti, Marj Tonini, Joana Parente, Mário Pereira and Marco Conedera and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Environmental Modelling & Software and Computers & Geosciences.

In The Last Decade

Michael Leuenberger

10 papers receiving 457 citations

Peers

Michael Leuenberger

GPC

MMPL

EE

ECOLO

AS

Roberto Valmir da Silva Brazil

Mohamed Saïd Guettouche Algeria

Prima Riza Kadavi South Korea

Susu Deng China

A. Rajaneesh India

Yabing Pei China

Yingtao Chen China

C. D. Aju India

Xinxiang Lei China

R. S. Ajin India

Roberto Valmir da Silva Brazil

Michael Leuenberger

245 ×0.8

GPC

228 ×1.0

MMPL

87 ×0.9

EE

75 ×1.1

ECOLO

95 ×1.5

AS

Citations per year, relative to Michael Leuenberger Michael Leuenberger (= 1×) peers Roberto Valmir da Silva

Countries citing papers authored by Michael Leuenberger

Since Specialization

Citations

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

Fields of papers citing papers by Michael Leuenberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Leuenberger

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

All Works

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11 of 11 papers shown

1.

Leuenberger, Michael, et al.. (2021). Balancing a sample almost perfectly. Statistics & Probability Letters. 180. 109229–109229. 1 indexed citations

2.

Leuenberger, Michael, Joana Parente, Marj Tonini, Mário Pereira, & Mikhaïl Kanevski. (2018). Wildfire susceptibility mapping: Deterministic vs. stochastic approaches. Environmental Modelling & Software. 101. 194–203. 121 indexed citations

3.

Khan, M. A. & Michael Leuenberger. (2017). Room-temperature superparamagnetism due to giant magnetic anisotropy in Mo$_{S}$ defected single-layer MoS$_{2}$. Journal of International Crisis and Risk Communication Research. 2018. 1 indexed citations

4.

Leuenberger, Michael & Mikhaïl Kanevski. (2016). Recent advances in environmental data mining. EGUGA. 2 indexed citations

5.

Conedera, Marco, et al.. (2015). Geospatial approach for defining the Wildland-Urban Interface in the Alpine environment. Computers Environment and Urban Systems. 52. 10–20. 33 indexed citations

6.

Leuenberger, Michael & Mikhaïl Kanevski. (2015). Extreme Learning Machines for spatial environmental data. Computers & Geosciences. 85. 64–73. 39 indexed citations

7.

Leuenberger, Michael & Mikhaïl Kanevski. (2014). Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine. The European Symposium on Artificial Neural Networks. 1 indexed citations

8.

Kanevski, Mikhaïl, et al.. (2014). The multipoint Morisita index for the analysis of spatial patterns. Physica A Statistical Mechanics and its Applications. 406. 191–202. 24 indexed citations

9.

Leuenberger, Michael, et al.. (2013). Forest Fires in a Random Forest. EGUGA. 9 indexed citations

10.

Micheletti, Natan, Loris Foresti, Sylvain Robert, et al.. (2013). Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping. Mathematical Geosciences. 46(1). 33–57. 236 indexed citations

11.

Seigneur, Hubert, Michael Leuenberger, & Winston V. Schoenfeld. (2007). Single photon Mach-Zehnder interferometer for quantum networks based on the Single Photon Faraday Effect: principle and applications. arXiv (Cornell University). 1 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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