Michael Begert

2.9k total citations
23 papers, 690 citations indexed

About

Michael Begert is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Michael Begert has authored 23 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 2 papers in Ecology. Recurrent topics in Michael Begert's work include Climate variability and models (14 papers), Meteorological Phenomena and Simulations (8 papers) and Cryospheric studies and observations (8 papers). Michael Begert is often cited by papers focused on Climate variability and models (14 papers), Meteorological Phenomena and Simulations (8 papers) and Cryospheric studies and observations (8 papers). Michael Begert collaborates with scholars based in Switzerland, Austria and United States. Michael Begert's co-authors include W. Kirchhofer, Christoph Frei, Simon C. Scherrer, Christof Appenzeller, Mischa Croci‐Maspoli, Stefan Brönnimann, Francesco Isotta, Stefan Hunziker, Cornelia Schwierz and Thomas Konzelmann and has published in prestigious journals such as The Science of The Total Environment, International Journal of Climatology and Journal of Geophysical Research Atmospheres.

In The Last Decade

Michael Begert

21 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Begert Switzerland 12 471 467 73 60 57 23 690
F. Monti Italy 4 388 0.8× 517 1.1× 70 1.0× 62 1.0× 42 0.7× 4 658
Claudia Simolo Italy 12 470 1.0× 552 1.2× 74 1.0× 32 0.5× 47 0.8× 19 682
Christian Seiler Canada 14 403 0.9× 531 1.1× 61 0.8× 85 1.4× 44 0.8× 24 694
Bingrong Zhou China 8 367 0.8× 229 0.5× 87 1.2× 62 1.0× 48 0.8× 24 525
Swen Brands Spain 16 702 1.5× 934 2.0× 79 1.1× 56 0.9× 30 0.5× 31 1.1k
Tomonori Sakami Japan 5 613 1.3× 663 1.4× 61 0.8× 61 1.0× 27 0.5× 5 851
Ningsheng Qin China 12 795 1.7× 790 1.7× 70 1.0× 72 1.2× 175 3.1× 26 946
Jean‐Marc Moisselin France 12 329 0.7× 374 0.8× 52 0.7× 63 1.1× 105 1.8× 23 568
J. Sanjay India 17 665 1.4× 798 1.7× 121 1.7× 77 1.3× 43 0.8× 32 994
Jaime Ribalaygua Spain 11 281 0.6× 466 1.0× 152 2.1× 62 1.0× 82 1.4× 16 590

Countries citing papers authored by Michael Begert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Begert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Begert

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Begert. A scholar is included among the top collaborators of Michael Begert 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 Begert. Michael Begert 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.
Begert, Michael, et al.. (2023). The benefits of homogenising snow depth series – Impacts on decadal trends and extremes for Switzerland. ˜The œcryosphere. 17(2). 653–671. 2 indexed citations
2.
Scherrer, Simon C., et al.. (2023). Estimating trends and the current climate mean in a changing climate. Climate Services. 33. 100428–100428. 7 indexed citations
3.
Coll, John C., Michael Begert, Stefan Brönnimann, et al.. (2022). Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods. ˜The œcryosphere. 16(6). 2147–2161. 8 indexed citations
4.
Hunziker, Stefan, Michael Begert, Simon C. Scherrer, Andreas Rigling, & Arthur Geßler. (2022). Below Average Midsummer to Early Autumn Precipitation Evolved Into the Main Driver of Sudden Scots Pine Vitality Decline in the Swiss Rhône Valley. Frontiers in Forests and Global Change. 5. 16 indexed citations
5.
Koch, Roland, et al.. (2022). A quantile‐based approach to improve homogenization of snow depth time series. International Journal of Climatology. 43(1). 157–173. 9 indexed citations
6.
Begert, Michael, et al.. (2021). Local-scale variability of seasonal mean and extreme values of in situ snow depth and snowfall measurements. ˜The œcryosphere. 15(10). 4625–4636. 5 indexed citations
7.
8.
Begert, Michael, et al.. (2020). Evaluating the robustness of snow climate indicators using a unique set of parallel snow measurement series. International Journal of Climatology. 41(S1). 11 indexed citations
9.
Brugnara, Yuri, Renate Auchmann, This Rutishauser, et al.. (2019). Homogeneity assessment of phenological records from the Swiss Phenology Network. International Journal of Biometeorology. 64(1). 71–81. 8 indexed citations
10.
Isotta, Francesco, Michael Begert, & Christoph Frei. (2019). Long‐Term Consistent Monthly Temperature and Precipitation Grid Data Sets for Switzerland Over the Past 150 Years. Journal of Geophysical Research Atmospheres. 124(7). 3783–3799. 30 indexed citations
11.
Scherrer, Simon C., Cornelia Schwierz, Michael Begert, et al.. (2019). Near‐surface mean wind in Switzerland: Climatology, climate model evaluation and future scenarios. International Journal of Climatology. 39(12). 4798–4810. 13 indexed citations
12.
Auchmann, Renate, Yuri Brugnara, This Rutishauser, et al.. (2018). Quality Analysis and Classification of Data Series from the Swiss Phenology Network. Bern Open Repository and Information System (University of Bern). 5 indexed citations
13.
Begert, Michael & Christoph Frei. (2018). Long‐term area‐mean temperature series for Switzerland—Combining homogenized station data and high resolution grid data. International Journal of Climatology. 38(6). 2792–2807. 50 indexed citations
14.
Gubler, Stefanie, Stefan Hunziker, Michael Begert, et al.. (2017). The influence of station density on climate data homogenization. International Journal of Climatology. 37(13). 4670–4683. 60 indexed citations
15.
Begert, Michael, et al.. (2011). Digitalisieren und Homogenisieren von historischen Klimadaten des Swiss NBCN - Resultate aus DigiHom. Bern Open Repository and Information System (University of Bern). 10 indexed citations
16.
Wüthrich, Christian, Simon C. Scherrer, Michael Begert, et al.. (2010). Die langen Schneemessreihen der Schweiz – Eine basisklimatologische Netzanalyse und Bestimmung besonders wertvoller Stationen mit Messbeginn vor 1961. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 5 indexed citations
17.
Begert, Michael, et al.. (2008). An automated procedure to detect discontinuities; performance assessment and application to a large European climate data set. Meteorologische Zeitschrift. 17(5). 663–672. 16 indexed citations
18.
Appenzeller, Christof, et al.. (2007). Monitoring climate at Jungfraujoch in the high Swiss Alpine region. The Science of The Total Environment. 391(2-3). 262–268. 33 indexed citations
19.
Begert, Michael, et al.. (2005). Homogeneous temperature and precipitation series of Switzerland from 1864 to 2000. International Journal of Climatology. 25(1). 65–80. 341 indexed citations
20.
Begert, Michael. (1989). The Corporate Opportunity Doctrine and outside Business Interests. The University of Chicago Law Review. 56(2). 827–827.

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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