M. Arpagaus

4.8k total citations
20 papers, 457 citations indexed

About

M. Arpagaus is a scholar working on Atmospheric Science, Global and Planetary Change and Nuclear and High Energy Physics. According to data from OpenAlex, M. Arpagaus has authored 20 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 4 papers in Nuclear and High Energy Physics. Recurrent topics in M. Arpagaus's work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (11 papers) and Precipitation Measurement and Analysis (4 papers). M. Arpagaus is often cited by papers focused on Meteorological Phenomena and Simulations (16 papers), Climate variability and models (11 papers) and Precipitation Measurement and Analysis (4 papers). M. Arpagaus collaborates with scholars based in Switzerland, Germany and Austria. M. Arpagaus's co-authors include Felix Ament, Mathias W. Rotach, André Walser, Heini Wernli, Manfred Dorninger, A. Montani, C. Hegg, Roberto Ranzi, Simon Jaun and Urs Germann and has published in prestigious journals such as Physics Letters B, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

M. Arpagaus

19 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Arpagaus Switzerland 12 351 348 97 60 44 20 457
Prasun K. Kundu United States 11 260 0.7× 355 1.0× 42 0.4× 145 2.4× 65 1.5× 23 518
Isidora Jankov United States 14 717 2.0× 754 2.2× 43 0.4× 110 1.8× 3 0.1× 31 817
Jan Handwerker Germany 13 426 1.2× 468 1.3× 13 0.1× 79 1.3× 2 0.0× 27 524
Xinghua Bao China 12 677 1.9× 704 2.0× 55 0.6× 40 0.7× 31 769
Charles E. Graves United States 8 256 0.7× 304 0.9× 17 0.2× 34 0.6× 14 348
Donghai Wang China 9 580 1.7× 644 1.9× 8 0.1× 90 1.5× 16 694
M. Steven Tracton United States 9 627 1.8× 644 1.9× 31 0.3× 76 1.3× 16 712
S. B. Thampi India 10 311 0.9× 357 1.0× 12 0.1× 45 0.8× 1 0.0× 18 401
Bradley R. Colman United States 9 432 1.2× 475 1.4× 13 0.1× 57 0.9× 12 530
Motohki Ikawa Japan 9 271 0.8× 336 1.0× 13 0.1× 37 0.6× 17 371

Countries citing papers authored by M. Arpagaus

Since Specialization
Citations

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

Fields of papers citing papers by M. Arpagaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Arpagaus

This figure shows the co-authorship network connecting the top 25 collaborators of M. Arpagaus. A scholar is included among the top collaborators of M. Arpagaus 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 M. Arpagaus. M. Arpagaus 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.
2.
Martucci, Giovanni, et al.. (2025). Assimilation of Raman lidar profiles in an operational, convective‐scale numerical weather prediction model. Quarterly Journal of the Royal Meteorological Society. 151(772).
3.
Sprenger, Michael, et al.. (2025). An object-based and Lagrangian view on an intense hailstorm day in Switzerland as represented in COSMO-1E ensemble hindcast simulations. Weather and Climate Dynamics. 6(2). 645–668. 6 indexed citations
4.
Rotach, Mathias W., Stefano Serafin, Helen C. Ward, et al.. (2022). A Collaborative Effort to Better Understand, Measure, and Model Atmospheric Exchange Processes over Mountains. Bulletin of the American Meteorological Society. 103(5). E1282–E1295. 18 indexed citations
5.
Serafin, Stefano, Mathias W. Rotach, M. Arpagaus, et al.. (2020). Multi-scale transport and exchange processes in the atmosphere over mountains. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 22 indexed citations
6.
Arpagaus, M., et al.. (2018). On the Time Evolution of Limited-Area Ensemble Variance: Case Studies with the Convection-Permitting Ensemble COSMO-E. Journal of the Atmospheric Sciences. 76(1). 11–26. 13 indexed citations
7.
Arpagaus, M., et al.. (2018). An evaluation of the convection‐permitting ensemble COSMO‐E for three contrasting precipitation events in Switzerland. Quarterly Journal of the Royal Meteorological Society. 144(712). 744–764. 53 indexed citations
8.
Arpagaus, M., et al.. (2012). Common Information Platform for Natural Hazards in Switzerland. EGU General Assembly Conference Abstracts. 2513. 2 indexed citations
9.
Rotach, Mathias W., M. Arpagaus, Manfred Dorninger, et al.. (2012). Uncertainty propagation for flood forecasting in the Alps: different views and impacts from MAP D-PHASE. Natural hazards and earth system sciences. 12(8). 2439–2448. 5 indexed citations
10.
Bauer, Hans‐Stefan, Manfred Dorninger, Volker Wulfmeyer, et al.. (2011). Predictive skill of a subset of models participating in D‐PHASE in the COPS region. Quarterly Journal of the Royal Meteorological Society. 137(S1). 287–305. 32 indexed citations
11.
Ament, Felix, et al.. (2010). Assessing the Benefits of Convection-Permitting Models by Neighborhood Verification: Examples from MAP D-PHASE. Monthly Weather Review. 138(9). 3418–3433. 110 indexed citations
12.
Ament, Felix, et al.. (2010). Evaluation of MAP D-PHASE heavy precipitation alerts in Switzerland during summer 2007. Atmospheric Research. 100(2-3). 178–189. 14 indexed citations
13.
Dierer, Silke, M. Arpagaus, Axel Seifert, et al.. (2009). Deficiencies in quantitative precipitation forecasts: sensitivity studies using the COSMO model. Meteorologische Zeitschrift. 18(6). 631–645. 27 indexed citations
14.
Zappa, Massimiliano, Mathias W. Rotach, M. Arpagaus, et al.. (2008). MAP D‐PHASE: real‐time demonstration of hydrological ensemble prediction systems. Atmospheric Science Letters. 9(2). 80–87. 92 indexed citations
15.
Walser, André, M. Arpagaus, Christof Appenzeller, & Martin Leutbecher. (2006). The Impact of Moist Singular Vectors and Horizontal Resolution on Short-Range Limited-Area Ensemble Forecasts for Two European Winter Storms. Monthly Weather Review. 134(10). 2877–2887. 15 indexed citations
16.
Rossa, Andrea, et al.. (2004). Weather situation-dependent stratification of radar-based precipitation verification of the Alpine Model (aLMo). 502–508. 2 indexed citations
17.
Abt, I., T. Ahmed, V. Andreev, et al.. (1993). Measurement of inclusive jet cross sections in photoproduction at HERA. Physics Letters B. 314(3-4). 436–444. 20 indexed citations
18.
Ahmed, T., V. Andreev, B. Andrieu, et al.. (1993). Measurement of the hadronic final state in deep inelastic scattering at HERA. Physics Letters B. 298(3-4). 469–478. 12 indexed citations
19.
Eichenberger, S., H. P. Beck, S. Egli, et al.. (1992). A fast pipelined trigger for the H1 experiment based on multiwire proportional chamber signals. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 323(1-2). 532–536. 7 indexed citations
20.
Wolff, T., J. Riedlberger, M. Arpagaus, et al.. (1992). A drift chamber track finder for the first level trigger of the H1 experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 323(1-2). 537–541. 5 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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