Fabian Gans

4.1k total citations · 1 hit paper
33 papers, 1.2k citations indexed

About

Fabian Gans is a scholar working on Global and Planetary Change, Artificial Intelligence and Ecology. According to data from OpenAlex, Fabian Gans has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 9 papers in Artificial Intelligence and 6 papers in Ecology. Recurrent topics in Fabian Gans's work include Atmospheric and Environmental Gas Dynamics (11 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Climate variability and models (9 papers). Fabian Gans is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (11 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Climate variability and models (9 papers). Fabian Gans collaborates with scholars based in Germany, United States and Spain. Fabian Gans's co-authors include Markus Reichstein, Martin Jung, Miguel D. Mahecha, Axel Kleidon, Gustau Camps‐Valls, Dario Papale, Ulrich Weber, Lee M. Miller, Kazuhito Ichii and Christopher R. Schwalm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Fabian Gans

31 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

The FLUXCOM ensemble of global land-atmosphere energy fluxes

2019 487 citations Martin Jung, Ulrich Weber et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabian Gans Germany	15	841	303	238	215	171	33	1.2k
Annalisa Molini United States	22	726 0.9×	467 1.5×	152 0.6×	174 0.8×	302 1.8×	43	1.4k
Pengfei Xue United States	22	572 0.7×	589 1.9×	258 1.1×	279 1.3×	199 1.2×	91	1.7k
Nancy Y. Kiang United States	16	894 1.1×	402 1.3×	320 1.3×	134 0.6×	268 1.6×	34	1.5k
Tianjie Lei China	21	1.1k 1.3×	302 1.0×	289 1.2×	346 1.6×	259 1.5×	59	1.6k
Dale Roberts Australia	11	462 0.5×	110 0.4×	371 1.6×	194 0.9×	235 1.4×	21	850
Virginia Kalb United States	12	804 1.0×	285 0.9×	616 2.6×	31 0.1×	308 1.8×	22	1.3k
Igor Shulman United States	22	504 0.6×	532 1.8×	185 0.8×	69 0.3×	68 0.4×	59	1.5k
Luyan Ji China	17	289 0.3×	532 1.8×	254 1.1×	87 0.4×	114 0.7×	75	1.2k
Wee Ho Lim United Kingdom	17	813 1.0×	408 1.3×	51 0.2×	382 1.8×	128 0.7×	30	1.1k
Chandler Ahrens United States	5	420 0.5×	390 1.3×	69 0.3×	60 0.3×	189 1.1×	10	932

Countries citing papers authored by Fabian Gans

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Gans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Gans

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Gans. A scholar is included among the top collaborators of Fabian Gans 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 Fabian Gans. Fabian Gans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kraft, Basil, Jacob A. Nelson, Sophia Walther, et al.. (2025). On the added value of sequential deep learning for the upscaling of evapotranspiration. Biogeosciences. 22(15). 3965–3987.

Camps‐Valls, Gustau, Miguel‐Ángel Fernández‐Torres, Fabian Gans, et al.. (2025). DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Scientific Data. 12(1). 149–149. 4 indexed citations

Reichstein, Markus, et al.. (2024). Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches. Atmospheric chemistry and physics. 24(4). 2555–2582. 4 indexed citations

Montero, David, Guido Kraemer, César Aybar, et al.. (2024). Earth System Data Cubes: Avenues for advancing Earth system research. FreiDok plus (Universitätsbibliothek Freiburg). 3. 5 indexed citations

Linscheid, Nora, Miguel D. Mahecha, Anja Rammig, et al.. (2021). Time‐Scale Dependent Relations Between Earth Observation Based Proxies of Vegetation Productivity. Geophysical Research Letters. 48(24). 7 indexed citations

Flach, Milan, Alexander Brenning, Fabian Gans, et al.. (2021). Vegetation modulates the impact of climate extremes on gross primary production. Biogeosciences. 18(1). 39–53. 55 indexed citations

Linscheid, Nora, Lina M. Estupiñán-Suárez, Alexander Brenning, et al.. (2020). Towards a global understanding of vegetation–climate dynamics at multiple timescales. Biogeosciences. 17(4). 945–962. 48 indexed citations

Mahecha, Miguel D., Fabian Gans, Rune Christiansen, et al.. (2020). Earth system data cubes unravel global multivariate dynamics. Earth System Dynamics. 11(1). 201–234. 65 indexed citations

Estupiñán-Suárez, Lina M., Alexander Brenning, Fabian Gans, et al.. (2020). Capturing the influence of ENSO on land surface variables for Tropical South America. 1 indexed citations

10.

Reichstein, Markus, Simon Besnard, Nuno Carvalhais, et al.. (2018). Modelling Landsurface Time-Series with Recurrent Neural Nets. Socio-Environmental Systems Modeling. 7640–7643. 13 indexed citations

11.

Gans, Fabian, et al.. (2018). The Earth in a Box: A light-weight data cube approach to empower the study of land-surface processes and interactions. EGU General Assembly Conference Abstracts. 9841. 2 indexed citations

12.

Bodesheim, Paul, Martin Jung, Fabian Gans, Miguel D. Mahecha, & Markus Reichstein. (2018). Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product. Earth system science data. 10(3). 1327–1365. 102 indexed citations

13.

Flach, Milan, Sebastian Sippel, Fabian Gans, et al.. (2018). Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian heatwave. Biogeosciences. 15(20). 6067–6085. 67 indexed citations

14.

Mahecha, Miguel D., et al.. (2017). The emerging Earth System Data Cube: Idea, implementation, and first scientific case studies. EGU General Assembly Conference Abstracts. 11813. 2 indexed citations

15.

Mahecha, Miguel D., Fabian Gans, Sebastian Sippel, et al.. (2017). Detecting impacts of extreme events with ecological in situ monitoring networks. Biogeosciences. 14(18). 4255–4277. 36 indexed citations

16.

Flach, Milan, Fabian Gans, Alexander Brenning, et al.. (2017). Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques. Earth System Dynamics. 8(3). 677–696. 32 indexed citations

17.

Besnard, Simon, Nuno Carvalhais, J.G.P.W. Clevers, et al.. (2017). Modelling effects of forest disturbance history on carbon balance: a deep learning approach using Landsat-time series.. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

18.

Reichstein, Markus, Martin Jung, Paul Bodesheim, et al.. (2016). Potential of new machine learning methods for understanding long-term interannual variability of carbon and energy fluxes and states from site to global scale. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

19.

Gans, Fabian, Lee M. Miller, & Axel Kleidon. (2012). The problem of the second wind turbine – a note on a common but flawed wind power estimation method. Earth System Dynamics. 3(1). 79–86. 17 indexed citations

20.

Miller, Lee M., Fabian Gans, & Axel Kleidon. (2011). Estimating maximum global land surface wind power extractability and associated climatic consequences. Earth System Dynamics. 2(1). 1–12. 85 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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