Jan Friesen

2.7k total citations
62 papers, 1.6k citations indexed

About

Jan Friesen is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Jan Friesen has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 21 papers in Environmental Engineering and 16 papers in Atmospheric Science. Recurrent topics in Jan Friesen's work include Plant Water Relations and Carbon Dynamics (19 papers), Hydrology and Watershed Management Studies (12 papers) and Soil Moisture and Remote Sensing (9 papers). Jan Friesen is often cited by papers focused on Plant Water Relations and Carbon Dynamics (19 papers), Hydrology and Watershed Management Studies (12 papers) and Soil Moisture and Remote Sensing (9 papers). Jan Friesen collaborates with scholars based in Germany, United States and Netherlands. Jan Friesen's co-authors include Nick van de Giesen, John T. Van Stan, J. M. Kranabetter, Wolfgang Wagner, Richard de Jeu, Thomas Holmes, A. J. Dolman, H. H. G. Savenije, Philip G. Oguntunde and Susan Steele‐Dunne and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Jan Friesen

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Friesen Germany	22	648	536	535	334	250	62	1.6k
Andri Baltensweiler Switzerland	20	487 0.8×	241 0.4×	479 0.9×	186 0.6×	153 0.6×	45	1.5k
Yang Cao China	23	975 1.5×	357 0.7×	232 0.4×	361 1.1×	363 1.5×	79	2.1k
Eckart Priesack Germany	26	678 1.0×	350 0.7×	398 0.7×	203 0.6×	516 2.1×	60	1.8k
Taku M. Saitoh Japan	23	1.2k 1.9×	318 0.6×	258 0.5×	177 0.5×	365 1.5×	72	1.8k
Dennis C. Duro Canada	10	610 0.9×	317 0.6×	406 0.8×	125 0.4×	162 0.6×	11	1.7k
Georg Niedrist Italy	19	312 0.5×	307 0.6×	306 0.6×	117 0.4×	168 0.7×	51	1.1k
Anke Hildebrandt Germany	23	776 1.2×	230 0.4×	282 0.5×	297 0.9×	382 1.5×	74	1.8k
Bert Gielen Belgium	28	1.7k 2.6×	706 1.3×	378 0.7×	186 0.6×	540 2.2×	47	2.2k
Eduardo Eiji Maeda Finland	30	1.7k 2.6×	614 1.1×	564 1.1×	294 0.9×	115 0.5×	110	2.6k
Dylan Beaudette United States	15	278 0.4×	208 0.4×	322 0.6×	154 0.5×	80 0.3×	29	902

Countries citing papers authored by Jan Friesen

Since Specialization

Citations

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

Fields of papers citing papers by Jan Friesen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Friesen

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

Short, Steven M., et al.. (2025). A Critical Review of Trunk and Hip Exercise Prescription: Applying Evidence for a Modern Approach. International Journal of Sports Physical Therapy. 20(3). 448–475.

Afferden, Manfred van, et al.. (2024). Pysewer: A Python Library for Sewer Network Generation in Data Scarce Regions. The Journal of Open Source Software. 9(104). 6430–6430.

Kouyi, Gislain Lipeme, et al.. (2024). Spatial-economic scenarios to increase resilience to urban flooding. Water Research X. 26. 100284–100284. 1 indexed citations

Afferden, Manfred van, et al.. (2023). GR2L: A robust dual-layer green roof water balance model to assess multifunctionality aspects under climate variability. Frontiers in Climate. 5. 6 indexed citations

Sadeghi, Seyed Mohammad Moein, et al.. (2023). Responses of canopy hydrometorological parameters to oak dieback in the Mediterranean sparse forest, Iran. Agricultural and Forest Meteorology. 343. 109784–109784. 4 indexed citations

Michelsen, Nils, et al.. (2023). Chemical composition of monsoon bulk precipitation in the Salalah area, Oman. Chemical Geology. 635. 121621–121621.

Friesen, Jan, et al.. (2023). “OCTOPUS” principle reduces wastewater management costs through network optimization and clustering. One Earth. 6(9). 1227–1234. 4 indexed citations

Friesen, Jan & John T. Van Stan. (2020). Early European Observations of Precipitation Partitioning by Vegetation: A Synthesis and Evaluation of 19th Century Findings. 1 indexed citations

Michelsen, Nils, et al.. (2019). Technical note: A microcontroller-based automatic rain sampler for stable isotope studies. Hydrology and earth system sciences. 23(6). 2637–2645. 12 indexed citations

10.

Stan, John T. Van, et al.. (2017). What controls stemflow? A LiDAR-based investigation of individual tree canopy structure, neighborhood conditions, and meteorological factors. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

11.

Stan, John T. Van, et al.. (2017). Canopy rainfall partitioning across an urbanization gradient in forest structure as characterized by terrestrial LiDAR. AGU Fall Meeting Abstracts. 2017.

12.

Strauch, Michael, Rohini Kumar, Stephanie Eisner, et al.. (2016). Adjustment of global precipitation data for enhanced hydrologic modeling of tropical Andean watersheds. Climatic Change. 141(3). 547–560. 25 indexed citations

13.

Müeller, Torsten, et al.. (2014). Groundwater from Clouds - Coupling a Regional Groundwater Model with Recharge Scenarios Based on Cloud Forest Distribution in Oman. AGUFM. 2014. 1 indexed citations

14.

Mallast, Ulf, Richard Gloaguen, Jan Friesen, et al.. (2014). How to identify groundwater-caused thermal anomalies in lakes based on multi-temporal satellite data in semi-arid regions. Hydrology and earth system sciences. 18(7). 2773–2787. 28 indexed citations

15.

Friesen, Jan, et al.. (2014). Analysis of splash loss for different throughfall trough designs. EGU General Assembly Conference Abstracts. 7180. 1 indexed citations

16.

Friesen, Jan, Susan Steele‐Dunne, & Nick van de Giesen. (2012). Diurnal Differences in Global ERS Scatterometer Backscatter Observations of the Land Surface. IEEE Transactions on Geoscience and Remote Sensing. 50(7). 2595–2602. 41 indexed citations

17.

Friesen, Jan, et al.. (2007). 6. Spatial and Seasonal Patterns of Diurnal Differences in ERS Scatterometer Soil Moisture Data in the Volta Basin, West Africa. Tunnelling and Underground Space Technology. 17(4). 47–55. 6 indexed citations

18.

Amisigo, Barnabas, et al.. (2007). Monthly streamflow prediction in the Volta Basin of West Africa: A SISO NARMAX polynomial modelling. Physics and Chemistry of the Earth Parts A/B/C. 33(1-2). 141–150. 52 indexed citations

19.

Oguntunde, Philip G., Jan Friesen, Nick van de Giesen, & H. H. G. Savenije. (2006). Hydroclimatology of the Volta River Basin in West Africa: Trends and variability from 1901 to 2002. Physics and Chemistry of the Earth Parts A/B/C. 31(18). 1180–1188. 140 indexed citations

20.

Friesen, Jan, et al.. (2005). Storage capacity and long-term water balance of the Volta Basin, West Africa.. IAHS-AISH publication. 138–145. 13 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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