Michael Kunz

5.9k total citations · 1 hit paper
111 papers, 3.4k citations indexed

About

Michael Kunz is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Michael Kunz has authored 111 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Atmospheric Science, 62 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Michael Kunz's work include Meteorological Phenomena and Simulations (67 papers), Climate variability and models (41 papers) and Cryospheric studies and observations (18 papers). Michael Kunz is often cited by papers focused on Meteorological Phenomena and Simulations (67 papers), Climate variability and models (41 papers) and Cryospheric studies and observations (18 papers). Michael Kunz collaborates with scholars based in Germany, Switzerland and United States. Michael Kunz's co-authors include Heinz Jürgen Punge, Susanna Mohr, Christoph Kottmeier, Bernhard Mühr, Kai Schröter, Kristopher M. Bedka, Bruno Merz, Florian Elmer, James Daniell and Olivia Martius and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Michael Kunz

99 papers receiving 3.3k citations

Hit Papers

A multi-disciplinary anal... 2023 2026 2024 2023 25 50 75
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. A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis
    2023 93 citations Susanna Mohr, Uwe Ehret et al. Natural hazards and earth system sciences profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Kunz 2.6k 2.2k 309 283 281 111 3.4k
Walker S. Ashley 2.4k 0.9× 2.0k 0.9× 586 1.9× 164 0.6× 390 1.4× 78 3.1k
Olivia Martius 6.4k 2.5× 5.4k 2.5× 383 1.2× 615 2.2× 338 1.2× 190 7.6k
Vassiliki Kotroni 3.3k 1.3× 2.8k 1.2× 661 2.1× 354 1.3× 219 0.8× 175 4.6k
Rasmus Benestad 2.6k 1.0× 2.5k 1.1× 255 0.8× 578 2.0× 164 0.6× 124 4.1k
Howard J. Diamond 2.3k 0.9× 2.8k 1.3× 488 1.6× 91 0.3× 134 0.5× 40 3.5k
Ronald E. Stewart 2.9k 1.1× 3.0k 1.3× 955 3.1× 452 1.6× 159 0.6× 177 6.4k
Duoying Ji 2.3k 0.9× 1.7k 0.8× 267 0.9× 185 0.7× 133 0.5× 66 3.0k
Mark McCarthy 1.8k 0.7× 1.1k 0.5× 725 2.3× 263 0.9× 104 0.4× 57 2.9k
Russell Blong 1.1k 0.4× 1.0k 0.5× 351 1.1× 141 0.5× 413 1.5× 91 3.0k
Kenneth R. Knapp 4.8k 1.9× 5.3k 2.4× 327 1.1× 300 1.1× 243 0.9× 57 6.2k

Countries citing papers authored by Michael Kunz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kunz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kunz. A scholar is included among the top collaborators of Michael Kunz 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 Kunz. Michael Kunz 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.
Soderholm, Joshua, Matthew R. Kumjian, Alain Protat, et al.. (2025). Measuring Hail-like Trajectories and Growth with the Hailsonde. Bulletin of the American Meteorological Society. 106(10). E2128–E2142. 1 indexed citations
2.
3.
Maul, Julia‐Tatjana, et al.. (2024). Patient and dermatologists' perspectives on augmented intelligence for melanoma screening: A prospective study. Journal of the European Academy of Dermatology and Venereology. 38(12). 2240–2249. 11 indexed citations
4.
Wenz, Frederik, et al.. (2023). Consistency of convolutional neural networks in dermoscopic melanoma recognition: A prospective real‐world study about the pitfalls of augmented intelligence. Journal of the European Academy of Dermatology and Venereology. 38(5). 945–953. 6 indexed citations
5.
Mohr, Susanna, Uwe Ehret, Michael Kunz, et al.. (2023). A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis. Natural hazards and earth system sciences. 23(2). 525–551. 93 indexed citations breakdown →
6.
Ludwig, Patrick, Florian Ehmele, Mário J. Franca, et al.. (2023). A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change. Natural hazards and earth system sciences. 23(4). 1287–1311. 46 indexed citations
7.
Kunz, Michael, et al.. (2022). Improved diagnosis by automated macro‐ and micro‐anatomical region mapping of skin photographs. Journal of the European Academy of Dermatology and Venereology. 36(12). 2525–2532. 1 indexed citations
8.
9.
Merz, Bruno, Christian Kuhlicke, Michael Kunz, et al.. (2020). Impact Forecasting to Support Emergency Management of Natural Hazards. Reviews of Geophysics. 58(4). 182 indexed citations
10.
Ward, Philip J., Veit Blauhut, Nadia Bloemendaal, et al.. (2020). Review article: Natural hazard risk assessments at the global scale. Natural hazards and earth system sciences. 20(4). 1069–1096. 195 indexed citations
11.
Barrett, Andrew I., Jill S. Johnson, Michael Kunz, et al.. (2020). Comparing the impact of environmental conditions and microphysics on the forecast uncertainty of deep convective clouds and hail. Atmospheric chemistry and physics. 20(4). 2201–2219. 27 indexed citations
12.
Kunz, Michael, et al.. (2019). Slip in, and Strength of, Natural Pyropic and Majoritic Garnets at High Pressures. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
13.
Barrett, Andrew I., Jill S. Johnson, Michael Kunz, et al.. (2018). Using Emulators to Understand the Sensitivity of Deep Convective Clouds and Hail to Environmental Conditions. Journal of Advances in Modeling Earth Systems. 10(12). 3103–3122. 21 indexed citations
14.
Grosfeld, Klaus, Peter Lemke, Peter Braesicke, et al.. (2016). The Helmholtz Regional Climate Initiative REKLIM from a polar perspective – a preface. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 85(2). 65–68. 1 indexed citations
15.
Thieken, Annegret H., Sarah Kienzler, Heidi Kreibich, et al.. (2016). Review of the flood risk management system in Germany after the major flood in 2013. Ecology and Society. 21(2). 138 indexed citations
16.
Daniell, James, Friedemann Wenzel, Katherine A. Daniell, et al.. (2016). The global role of natural disaster fatalities in decision-making: statistics, trends and analysis from 116 years of disaster data compared to fatality rates from other causes. ANU Open Research (Australian National University). 4 indexed citations
17.
Fluck, Elody, et al.. (2015). Hail statistic in Western Europe based on a hybrid cell-tracking algorithm combining radar signals with hailstone observations. EGUGA. 12218. 1 indexed citations
18.
Wenzel, Friedemann, et al.. (2013). Near Real-Time Forensic Disaster Analysis. International Conference on Information Systems for Crisis Response and Management. 581. 3 indexed citations
19.
Kunz, Michael, et al.. (2010). Kurz zum Klima: Rettung aus der Tiefe?. Econstor (Econstor). 63(17). 30–33. 1 indexed citations
20.
Kottmeier, Christoph & Michael Kunz. (2002). Orographic precipitation enhancement during extreme flood events in mid-Europe. AGU Fall Meeting Abstracts. 2002. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Walker S. Ashley Breakdown of academic impact, for papers by Olivia Martius Breakdown of academic impact, for papers by Vassiliki Kotroni Breakdown of academic impact, for papers by Rasmus Benestad Breakdown of academic impact, for papers by Howard J. Diamond Breakdown of academic impact, for papers by Ronald E. Stewart Breakdown of academic impact, for papers by Duoying Ji Breakdown of academic impact, for papers by Mark McCarthy Breakdown of academic impact, for papers by Russell Blong Breakdown of academic impact, for papers by Kenneth R. Knapp
Rankless by CCL
2026