Jannis Hoch

1.5k total citations · 1 hit paper
22 papers, 823 citations indexed

About

Jannis Hoch is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Jannis Hoch has authored 22 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 13 papers in Global and Planetary Change and 11 papers in Atmospheric Science. Recurrent topics in Jannis Hoch's work include Hydrology and Watershed Management Studies (13 papers), Flood Risk Assessment and Management (12 papers) and Tropical and Extratropical Cyclones Research (5 papers). Jannis Hoch is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Flood Risk Assessment and Management (12 papers) and Tropical and Extratropical Cyclones Research (5 papers). Jannis Hoch collaborates with scholars based in Netherlands, United Kingdom and Japan. Jannis Hoch's co-authors include Rens van Beek, Marc F. P. Bierkens, Edwin H. Sutanudjaja, Niko Wanders, Kor de Jong, Stefanie Peßenteiner, Inge de Graaf, Ekkamol Vannametee, Menno Straatsma and Niels Drost and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Global Environmental Change.

In The Last Decade

Jannis Hoch

21 papers receiving 807 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.

PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model

2018 384 citations Edwin H. Sutanudjaja, Rens van Beek et al. Geoscientific model development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jannis Hoch Netherlands	12	481	468	178	117	103	22	823
Frederiek Sperna Weiland Netherlands	15	706 1.5×	1.0k 2.2×	440 2.5×	136 1.2×	178 1.7×	28	1.4k
Eric A. Sproles United States	14	267 0.6×	250 0.5×	274 1.5×	81 0.7×	97 0.9×	30	652
Claudine Dieulin France	14	435 0.9×	611 1.3×	144 0.8×	109 0.9×	39 0.4×	30	855
Patricia López López Netherlands	9	575 1.2×	473 1.0×	183 1.0×	263 2.2×	105 1.0×	16	825
Jonghun Kam South Korea	19	527 1.1×	1.0k 2.2×	369 2.1×	132 1.1×	77 0.7×	62	1.3k
Nathan Forsythe United Kingdom	15	338 0.7×	452 1.0×	492 2.8×	84 0.7×	39 0.4×	29	865
K. O. Asante United States	14	387 0.8×	420 0.9×	248 1.4×	136 1.2×	35 0.3×	22	698
Wolfgang Grabs Germany	8	773 1.6×	805 1.7×	355 2.0×	162 1.4×	174 1.7×	16	1.3k
D. K. Panda India	14	376 0.8×	546 1.2×	174 1.0×	326 2.8×	187 1.8×	39	1.0k
Ken Motoya Japan	7	665 1.4×	459 1.0×	141 0.8×	153 1.3×	71 0.7×	11	923

Countries citing papers authored by Jannis Hoch

Since Specialization

Citations

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

Fields of papers citing papers by Jannis Hoch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jannis Hoch

This figure shows the co-authorship network connecting the top 25 collaborators of Jannis Hoch. A scholar is included among the top collaborators of Jannis Hoch 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 Jannis Hoch. Jannis Hoch 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

Jaarsveld, Barry van, Niko Wanders, Edwin H. Sutanudjaja, et al.. (2025). A first attempt to model global hydrology at hyper-resolution. Earth System Dynamics. 16(1). 29–54. 1 indexed citations

Hoch, Jannis, et al.. (2024). On the importance of discharge observation uncertainty when interpreting hydrological model performance. Hydrology and earth system sciences. 28(22). 5011–5030. 1 indexed citations

Hoch, Jannis, Jens de Bruijn, Kathleen Hermans, et al.. (2024). Scenario projections of South Asian migration patterns amidst environmental and socioeconomic change. Global Environmental Change. 88. 102920–102920. 1 indexed citations

Sutanudjaja, Edwin H., Gatien N. Falconnier, Rens van Beek, et al.. (2024). A novel approach to include small reservoirs into a global hydrological model: Assessing its potential to reduce the agricultural water gap of smallholder farmers in Senegal. Journal of Hydrology Regional Studies. 56. 102074–102074. 1 indexed citations

Hoch, Jannis, Edwin H. Sutanudjaja, Niko Wanders, Rens van Beek, & Marc F. P. Bierkens. (2023). Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent. Hydrology and earth system sciences. 27(6). 1383–1401. 19 indexed citations

Hoch, Jannis, et al.. (2021). CoPro: a data-driven modelling framework for conflict risk projections. The Journal of Open Source Software. 6(58). 2855–2855. 3 indexed citations

Hoch, Jannis, et al.. (2021). Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: a machine learning approach. Environmental Research Letters. 16(12). 124068–124068. 23 indexed citations

Hoekstra, P., Philip S. J. Minderhoud, Jannis Hoch, et al.. (2021). The projection data of saline water intrusion in the Mekong Delta under climatic and anthropogenic drivers. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Hoch, Jannis, Nina von Uexkull, Halvard Buhaug, et al.. (2021). Projecting long-term armed conflict risk: An underappreciated field of inquiry?. Global Environmental Change. 72. 102423–102423. 15 indexed citations

10.

Hoekstra, P., Philip S. J. Minderhoud, Jannis Hoch, et al.. (2021). Projections of salt intrusion in a mega-delta under climatic and anthropogenic stressors. Communications Earth & Environment. 2(1). 73 indexed citations

11.

Scussolini, Paolo, Dirk Eilander, Edwin H. Sutanudjaja, et al.. (2020). Global River Discharge and Floods in the Warmer Climate of the Last Interglacial. Geophysical Research Letters. 47(18). 56 indexed citations

12.

Cloke, Hannah, Ervin Zsótér, Zachary L. Flamig, et al.. (2019). Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin. Hydrology and earth system sciences. 23(7). 3057–3080. 96 indexed citations

13.

Hoch, Jannis, Dirk Eilander, Hiroaki Ikeuchi, Fedor Baart, & Hessel Winsemius. (2019). Integrating large-scale hydrology and hydrodynamics for nested floodhazard modelling from the mountains to the coast. 2 indexed citations

14.

Hoch, Jannis, Dirk Eilander, Hiroaki Ikeuchi, Fedor Baart, & Hessel Winsemius. (2019). Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework. Natural hazards and earth system sciences. 19(8). 1723–1735. 35 indexed citations

15.

Sutanudjaja, Edwin H., Rens van Beek, Niko Wanders, et al.. (2018). PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model. Geoscientific model development. 11(6). 2429–2453. 384 indexed citations breakdown →

16.

Ikeuchi, Hiroaki, Dirk Eilander, Jannis Hoch, et al.. (2018). Application of a nesting approach for improved flood inundation simulation for estuaries and deltas in the framework of global flood modelling. EGUGA. 12331. 1 indexed citations

17.

Hoch, Jannis, Rens van Beek, Hessel Winsemius, & Marc F. P. Bierkens. (2018). Benchmarking flexible meshes and regular grids for large-scale fluvial inundation modelling. Advances in Water Resources. 121. 350–360. 20 indexed citations

18.

Hoch, Jannis & Mark A. Trigg. (2018). Advancing global flood hazard simulations by improving comparability, benchmarking, and integration of global flood models. Environmental Research Letters. 14(3). 34001–34001. 39 indexed citations

19.

Hoch, Jannis, Jeffrey Neal, Fedor Baart, et al.. (2017). GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling. Geoscientific model development. 10(10). 3913–3929. 29 indexed citations

20.

Hoch, Jannis, Arjen Haag, Arthur van Dam, et al.. (2017). Assessing the impact of hydrodynamics on large-scale flood wave propagation – a case study for the Amazon Basin. Hydrology and earth system sciences. 21(1). 117–132. 22 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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