Nans Addor

5.1k total citations · 3 hit papers
42 papers, 2.7k citations indexed

About

Nans Addor is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Nans Addor has authored 42 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Water Science and Technology, 31 papers in Global and Planetary Change and 16 papers in Atmospheric Science. Recurrent topics in Nans Addor's work include Hydrology and Watershed Management Studies (36 papers), Flood Risk Assessment and Management (21 papers) and Hydrology and Drought Analysis (11 papers). Nans Addor is often cited by papers focused on Hydrology and Watershed Management Studies (36 papers), Flood Risk Assessment and Management (21 papers) and Hydrology and Drought Analysis (11 papers). Nans Addor collaborates with scholars based in United Kingdom, United States and Switzerland. Nans Addor's co-authors include Martyn Clark, Andrew J. Newman, Naoki Mizukami, Jan Seibert, Lieke Melsen, J. A. Vano, K. N. Musselman, N. P. Molotch, Matthias Huss and Pablo A. Mendoza and has published in prestigious journals such as Water Resources Research, Nature Climate Change and BMC Bioinformatics.

In The Last Decade

Nans Addor

39 papers receiving 2.6k citations

Hit Papers

The CAMELS data set: catchment attributes and meteorology... 2017 2026 2020 2023 2017 2021 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nans Addor United Kingdom 21 2.0k 1.9k 838 828 192 42 2.7k
Yeshewatesfa Hundecha Germany 26 1.8k 0.9× 2.3k 1.2× 552 0.7× 795 1.0× 169 0.9× 41 2.8k
Naoki Mizukami United States 26 2.0k 1.0× 1.8k 1.0× 818 1.0× 819 1.0× 104 0.5× 55 2.5k
Wouter R. Berghuijs Netherlands 21 1.8k 0.9× 1.8k 0.9× 424 0.5× 921 1.1× 207 1.1× 48 2.6k
Juliane Mai Canada 27 1.6k 0.8× 1.5k 0.8× 1.1k 1.3× 512 0.6× 89 0.5× 71 2.4k
Wouter Knoben Canada 16 1.4k 0.7× 1.2k 0.7× 660 0.8× 434 0.5× 121 0.6× 38 1.9k
Zhenxin Bao China 26 1.7k 0.8× 1.5k 0.8× 505 0.6× 575 0.7× 246 1.3× 86 2.3k
Steven L. Markstrom United States 18 1.5k 0.8× 1.0k 0.5× 656 0.8× 477 0.6× 164 0.9× 50 1.9k
Fei Yuan China 31 1.5k 0.8× 2.3k 1.2× 543 0.6× 1.3k 1.5× 118 0.6× 81 3.0k
P.J.J.F. Torfs Netherlands 32 1.7k 0.8× 1.7k 0.9× 594 0.7× 568 0.7× 268 1.4× 80 2.7k
Gopi Goteti United States 6 1.2k 0.6× 1.9k 1.0× 506 0.6× 876 1.1× 161 0.8× 11 2.5k

Countries citing papers authored by Nans Addor

Since Specialization
Citations

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

Fields of papers citing papers by Nans Addor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nans Addor

This figure shows the co-authorship network connecting the top 25 collaborators of Nans Addor. A scholar is included among the top collaborators of Nans Addor 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 Nans Addor. Nans Addor 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
2.
Kratzert, Frederik, Grey Nearing, Nans Addor, et al.. (2023). Caravan - A global community dataset for large-sample hydrology. Scientific Data. 10(1). 61–61. 124 indexed citations breakdown →
3.
Höge, Marvin, Martina Kauzlaric, Rosi Siber, et al.. (2023). CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland. Earth system science data. 15(12). 5755–5784. 39 indexed citations
4.
Osborn, Timothy J., et al.. (2023). Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index. Hydrology and earth system sciences. 27(5). 1151–1171. 21 indexed citations
5.
Mendoza, Pablo A., et al.. (2021). A multi‐objective approach to select hydrological models and constrain structural uncertainties for climate impact assessments. Hydrological Processes. 36(1). 12 indexed citations
6.
Bloomfield, John P., et al.. (2021). How is Baseflow Index (BFI) impacted by water resource management practices?. Hydrology and earth system sciences. 25(10). 5355–5379. 25 indexed citations
8.
Musselman, K. N., Nans Addor, J. A. Vano, & N. P. Molotch. (2021). Winter melt trends portend widespread declines in snow water resources. Nature Climate Change. 11(5). 418–424. 200 indexed citations breakdown →
9.
Teuling, Adriaan J., et al.. (2021). Numerical daemons of hydrological models are summoned by extreme precipitation. Hydrology and earth system sciences. 25(10). 5425–5446. 14 indexed citations
10.
Fowler, Keirnan, et al.. (2021). CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia. Earth system science data. 13(8). 3847–3867. 79 indexed citations
11.
Uhe, Peter, Dann Mitchell, Paul Bates, et al.. (2021). Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0. Geoscientific model development. 14(8). 4865–4890. 4 indexed citations
12.
Coxon, Gemma, Nans Addor, John P. Bloomfield, et al.. (2020). CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth system science data. 12(4). 2459–2483. 146 indexed citations
13.
Coxon, Gemma, Nans Addor, John P. Bloomfield, et al.. (2019). CAMELS-GB: A large sample, open-source, hydro-meteorological dataset for Great Britain. NERC Open Research Archive (Natural Environment Research Council). 12884. 1 indexed citations
14.
Álvarez-Garretón, Camila, Pablo A. Mendoza, Juan Pablo Boisier, et al.. (2018). The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset. Hydrology and earth system sciences. 22(11). 5817–5846. 267 indexed citations
15.
Addor, Nans, Grey Nearing, Cristina Prieto, et al.. (2018). A Ranking of Hydrological Signatures Based on Their Predictability in Space. Water Resources Research. 54(11). 8792–8812. 189 indexed citations
16.
Álvarez-Garretón, Camila, Pablo A. Mendoza, Juan Pablo Boisier, et al.. (2018). The CAMELS-CL dataset: catchment attributes and meteorology forlarge sample studies – Chile dataset. Biogeosciences (European Geosciences Union). 9 indexed citations
17.
Hamman, Joseph, Nans Addor, Naoki Mizukami, Martyn Clark, & E. D. Gutmann. (2018). Characterizing uncertainty in climate impacts projections for water resource applications. EGU General Assembly Conference Abstracts. 10926. 1 indexed citations
18.
Addor, Nans, Simon Jaun, Felix Fundel, & Massimiliano Zappa. (2012). An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): assessing the added value of probabilistic forecasts. EGU General Assembly Conference Abstracts. 5274. 1 indexed citations
19.
Seibert, Jan, Claudia Teutschbein, & Nans Addor. (2012). Modeling the Future - the Value of Differential Split Sample Tests. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
20.
Lombardot, Thierry, Renzo Kottmann, Grégory Giuliani, et al.. (2007). MetaLook: a 3D visualisation software for marine ecological genomics. BMC Bioinformatics. 8(1). 406–406. 7 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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