Alexander Brenning

9.4k total citations · 5 hit papers
139 papers, 6.4k citations indexed

About

Alexander Brenning is a scholar working on Atmospheric Science, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, Alexander Brenning has authored 139 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Atmospheric Science, 43 papers in Global and Planetary Change and 37 papers in Management, Monitoring, Policy and Law. Recurrent topics in Alexander Brenning's work include Cryospheric studies and observations (47 papers), Landslides and related hazards (37 papers) and Climate change and permafrost (35 papers). Alexander Brenning is often cited by papers focused on Cryospheric studies and observations (47 papers), Landslides and related hazards (37 papers) and Climate change and permafrost (35 papers). Alexander Brenning collaborates with scholars based in Germany, Canada and Chile. Alexander Brenning's co-authors include Jason Goetz, Helene Petschko, Philip L. Leopold, Guillermo Azócar, Jannes Muenchow, Rainer Bell, Thomas Glade, Xavier Bodín, Patrick Schratz and Richard Guthrie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Alexander Brenning

136 papers receiving 6.3k citations

Hit Papers

Evaluating machine learning and statistical p... 2005 2026 2012 2019 2015 2005 2019 2015 2024 200 400 600
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.

  1. Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
    2015 602 citations Jason Goetz, Alexander Brenning et al. profile →
  2. Spatial prediction models for landslide hazards: review, comparison and evaluation
    2005 498 citations Alexander Brenning Natural hazards and earth system sciences profile →
  3. Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data
    2019 367 citations Patrick Schratz, Jannes Muenchow et al. profile →
  4. A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management
    2015 288 citations Alexander Brenning et al. profile →
  5. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
    2024 60 citations Shijie Jiang, Alexander Brenning et al. Earth s Future profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Brenning Germany 43 2.6k 2.5k 2.5k 1.2k 961 139 6.4k
Ali P. Yunus China 34 3.2k 1.2× 2.7k 1.1× 1.3k 0.5× 680 0.6× 720 0.7× 94 5.6k
Norman Kerle Netherlands 50 2.5k 1.0× 2.6k 1.0× 1.6k 0.6× 1.1k 0.9× 1.6k 1.7× 141 7.6k
Taşkın Kavzoğlu Türkiye 28 1.7k 0.6× 1.6k 0.7× 928 0.4× 929 0.8× 648 0.7× 96 4.1k
Omid Ghorbanzadeh Austria 42 2.5k 1.0× 2.7k 1.1× 751 0.3× 435 0.4× 925 1.0× 80 4.9k
Abolfazl Jaafari Iran 43 2.3k 0.9× 3.6k 1.4× 631 0.3× 640 0.6× 1.3k 1.4× 89 5.4k
Mehebub Sahana India 37 1.4k 0.5× 2.8k 1.1× 794 0.3× 710 0.6× 943 1.0× 84 4.5k
Baharin Bin Ahmad Malaysia 47 3.2k 1.2× 4.3k 1.8× 1.1k 0.4× 646 0.6× 1.8k 1.9× 84 6.9k
Inge Revhaug Norway 15 2.9k 1.1× 3.0k 1.2× 804 0.3× 315 0.3× 744 0.8× 23 4.5k
Ahmed M. Youssef Egypt 33 2.7k 1.0× 3.2k 1.3× 829 0.3× 307 0.3× 1.1k 1.1× 105 5.2k
Bakhtiar Feizizadeh Iran 38 2.0k 0.8× 2.1k 0.9× 527 0.2× 776 0.7× 1.2k 1.2× 126 4.6k

Countries citing papers authored by Alexander Brenning

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Brenning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Brenning

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Brenning. A scholar is included among the top collaborators of Alexander Brenning 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 Alexander Brenning. Alexander Brenning 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.
Schratz, Patrick, Marc Becker, Michel Lang, & Alexander Brenning. (2024). mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R. Journal of Statistical Software. 111(7). 2 indexed citations
2.
3.
Jiang, Shijie, Alexander Brenning, Wantong Li, et al.. (2024). How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences. Earth s Future. 12(7). 60 indexed citations breakdown →
4.
Brenning, Alexander. (2023). Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification. Machine Learning. 112(9). 3455–3471. 16 indexed citations
5.
Brenning, Alexander, et al.. (2023). Official heat warnings miss situations with a detectable societal heat response in European countries. International Journal of Disaster Risk Reduction. 100. 104206–104206. 4 indexed citations
6.
Peña, Marco A. & Alexander Brenning. (2023). Benchmarking Sentinel-2-derived predictors for long-term burn severity modelling: the 2016–17 Chilean firestorm. International Journal of Remote Sensing. 44(8). 2668–2690. 3 indexed citations
7.
Dubois, Clémence, Christian Thiel, Marius Rüetschi, et al.. (2023). Accounting for Deciduous Forest Structure and Viewing Geometry Effects Improves Sentinel-1 Time Series Image Consistency. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 3 indexed citations
8.
Maraun, Douglas, Aditya N. Mishra, Heimo Truhetz, et al.. (2022). A severe landslide event in the Alpine foreland under possible future climate and land-use changes. Communications Earth & Environment. 3(1). 43 indexed citations
9.
Goetz, Jason, et al.. (2021). Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling. Natural hazards and earth system sciences. 21(8). 2543–2562. 6 indexed citations
10.
Cortés, José, Miguel D. Mahecha, Markus Reichstein, et al.. (2021). Where Are Global Vegetation Greening and Browning Trends Significant?. Geophysical Research Letters. 48(6). 100 indexed citations
11.
Brenning, Alexander, et al.. (2021). Kulturlandschaft im Wandel: Ein indikatorenbasierter Rückblick bis in das 19. Jahrhundert. Fallstudie anhand der Gemeinden Waidhofen/Ybbs und Paldau. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 1. 255–285. 2 indexed citations
12.
Schratz, Patrick, Jannes Muenchow, Eugenia Iturritxa, et al.. (2021). Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?. Remote Sensing. 13(23). 4832–4832. 18 indexed citations
13.
Brenning, Alexander, Simone Gingrich, Gerhard Heiß, et al.. (2021). Towards the Use of Land Use Legacies in Landslide Modeling: Current Challenges and Future Perspectives in an Austrian Case Study. Land. 10(9). 954–954. 13 indexed citations
14.
Linscheid, Nora, Lina M. Estupiñán-Suárez, Alexander Brenning, et al.. (2020). Towards a global understanding of vegetation–climate dynamics at multiple timescales. Biogeosciences. 17(4). 945–962. 48 indexed citations
15.
Goetz, Jason & Alexander Brenning. (2019). Quantifying Uncertainties in Snow Depth Mapping From Structure From Motion Photogrammetry in an Alpine Area. Water Resources Research. 55(9). 7772–7783. 25 indexed citations
16.
Shen, Yanjun, Yanjun Shen, Manfred Fink, Sven Kralisch, & Alexander Brenning. (2018). Unraveling the Hydrology of the Glacierized Kaidu Basin by Integrating Multisource Data in the Tianshan Mountains, Northwestern China. Water Resources Research. 54(1). 557–580. 22 indexed citations
17.
Steger, Stefan, Alexander Brenning, Rainer Bell, & Thomas Glade. (2016). The propagation of inventory-based positional errors into statistical landslide susceptibility models. Natural hazards and earth system sciences. 16(12). 2729–2745. 87 indexed citations
18.
Brenning, Alexander, et al.. (2016). Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region?. Remote Sensing. 8(7). 540–540. 42 indexed citations
19.
Zandler, Harald, Alexander Brenning, & Cyrus Samimi. (2015). Potential of Space-Borne Hyperspectral Data for Biomass Quantification in an Arid Environment: Advantages and Limitations. Remote Sensing. 7(4). 4565–4580. 17 indexed citations
20.
Andrey, Jean, et al.. (2008). Modeling Winter Maintenance Activities Using Classification Trees. 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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