M. Lang

6.6k total citations · 2 hit papers
89 papers, 3.8k citations indexed

About

M. Lang is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, M. Lang has authored 89 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Global and Planetary Change, 52 papers in Water Science and Technology and 18 papers in Atmospheric Science. Recurrent topics in M. Lang's work include Hydrology and Drought Analysis (58 papers), Hydrology and Watershed Management Studies (52 papers) and Flood Risk Assessment and Management (33 papers). M. Lang is often cited by papers focused on Hydrology and Drought Analysis (58 papers), Hydrology and Watershed Management Studies (52 papers) and Flood Risk Assessment and Management (33 papers). M. Lang collaborates with scholars based in France, Canada and United States. M. Lang's co-authors include Benjamin Renard, Bernard Bobée, Taha B. M. J. Ouarda, Deborah Lawrence, Marta Martínková, Thomas Kjeldsen, Henrik Madsen, Denis Cœur, Éric Sauquet and Xun Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

M. Lang

87 papers receiving 3.6k citations

Hit Papers

Towards operational guidelines for over-threshold modeling 1999 2026 2008 2017 1999 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Lang France 30 3.1k 1.9k 1.2k 461 323 89 3.8k
Éric Gaumé France 32 2.9k 0.9× 2.2k 1.2× 978 0.8× 446 1.0× 557 1.7× 91 3.5k
Sujan Koirala Germany 23 3.2k 1.0× 1.9k 1.0× 1.1k 0.9× 589 1.3× 632 2.0× 53 4.4k
Sergiy Vorogushyn Germany 35 2.8k 0.9× 2.1k 1.1× 1.7k 1.4× 281 0.6× 319 1.0× 94 4.0k
Francesco Dottori Italy 26 3.4k 1.1× 1.8k 1.0× 1.3k 1.1× 415 0.9× 446 1.4× 55 4.0k
Matthew Wilson New Zealand 20 1.9k 0.6× 1.4k 0.7× 776 0.7× 626 1.4× 319 1.0× 51 2.3k
Matthew S. Horritt United Kingdom 17 2.7k 0.9× 1.8k 1.0× 1.2k 1.0× 785 1.7× 464 1.4× 21 3.1k
Yves Tramblay France 37 2.9k 0.9× 1.8k 0.9× 1.4k 1.2× 237 0.5× 647 2.0× 116 4.0k
Attilio Castellarin Italy 40 3.5k 1.1× 2.8k 1.5× 811 0.7× 731 1.6× 652 2.0× 121 4.2k
Christopher Sampson United Kingdom 29 3.7k 1.2× 1.9k 1.1× 1.6k 1.4× 646 1.4× 718 2.2× 49 4.7k
Wolfgang Kron Germany 13 2.1k 0.7× 847 0.5× 757 0.6× 230 0.5× 273 0.8× 21 2.7k

Countries citing papers authored by M. Lang

Since Specialization
Citations

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

Fields of papers citing papers by M. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Lang. A scholar is included among the top collaborators of M. Lang 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. Lang. M. Lang 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.
Lang, M., et al.. (2024). A comprehensive uncertainty framework for historical flood frequency analysis: a 500-year-long case study. Hydrology and earth system sciences. 28(22). 5031–5047. 2 indexed citations
2.
Tramblay, Yves, Patrick Arnaud, M. Lang, et al.. (2023). Changes in Mediterranean flood processes and seasonality. Hydrology and earth system sciences. 27(15). 2973–2987. 22 indexed citations
3.
Brönnimann, Stefan, Peter Stucki, Jörg Franke, et al.. (2022). Influence of warming and atmospheric circulation changes on multidecadal European flood variability. Climate of the past. 18(4). 919–933. 14 indexed citations
4.
Brönnimann, Stefan, Peter Stucki, Jörg Franke, et al.. (2021). Influence of Warming and Atmospheric Circulation Changes on Multidecadal European Flood Variability. 1 indexed citations
5.
Renard, Benjamin, et al.. (2019). Shift Happens! Adjusting Stage‐Discharge Rating Curves to Morphological Changes at Known Times. Water Resources Research. 55(4). 2876–2899. 35 indexed citations
6.
Payrastre, Olivier, Éric Gaumé, Pierre Javelle, et al.. (2019). Analyse hydrologique de la crue-éclair catastrophique du 15 juin 2010 dans la région de Draguignan (VAR, France). La Houille Blanche. 105(3-4). 140–148. 5 indexed citations
7.
Lang, M., et al.. (2016). Assessing changes in urban flood vulnerability through mapping land use from historical information. Hydrology and earth system sciences. 20(1). 161–173. 29 indexed citations
9.
Kochanek, Krzysztof, Benjamin Renard, Patrick Arnaud, et al.. (2014). A data-based comparison of flood frequency analysis methods used in France. Natural hazards and earth system sciences. 14(2). 295–308. 30 indexed citations
10.
Nicolle, P, Raji Pushpalatha, Charles Perrin, et al.. (2013). Benchmarking hydrological models for low-flow simulation and forecasting on French catchments. 5 indexed citations
11.
Madsen, Henrik, Deborah Lawrence, M. Lang, Marta Martínková, & Thomas Kjeldsen. (2012). A Review of Applied Methods in Europe for Flood Frequency Analysis in a Changing Environment. NERC Open Research Archive (Natural Environment Research Council). 31 indexed citations
12.
Garavaglia, F., M. Lang, Emmanuel Paquet, et al.. (2011). Reliability and robustness of rainfall compound distribution model based on weather pattern sub-sampling. Hydrology and earth system sciences. 15(2). 519–532. 34 indexed citations
13.
Garavaglia, F., Joël Gailhard, Emmanuel Paquet, et al.. (2010). Introducing a rainfall compound distribution model based on weather patterns sub-sampling. Hydrology and earth system sciences. 14(6). 951–964. 77 indexed citations
14.
Sauquet, Éric, et al.. (2009). Comparison of 850‐hPa relative humidity between ERA‐40 and NCEP/NCAR re‐analyses: detection of suspicious data in ERA‐40. Atmospheric Science Letters. 10(1). 43–47. 9 indexed citations
15.
Sauquet, Éric, et al.. (2003). Scaling Properties Of Flood Hydrographs And Their Use To Derive DesignFlood Hydrographs. WIT Transactions on Ecology and the Environment. 60. 1 indexed citations
16.
Lang, M., et al.. (2002). Etude de cas: l'analyse des pluies et crues extrêmes observées depuis 200 ans dans un bassin cévenol, l'Ardèche. La Houille Blanche. 88(6-7). 131–138. 6 indexed citations
17.
Barriendos, Mariano, et al.. (2002). Stationarity Analysis of Historical Flood In France and Spain With A Classification of Events Based On Historical Flood Levels Or Damages. EGSGA. 5203. 1 indexed citations
18.
Lang, M., et al.. (1994). Estimation des crues rares et extrêmes : principes du modèle Agregee. HAL (Le Centre pour la Communication Scientifique Directe). 9(1). 85–100. 10 indexed citations
19.
Lang, M., et al.. (1994). 10. -Esquisse des risques de crues à l'échelle euro-méditerranéenne : les premiers résultats du programme FRIEND-AHMY exploitant les modèles AGREGEE et TPG. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
20.
Lang, M.. (1983). Mustererkennung. Physikalische Blätter. 39(11). 367–372.

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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