Menno Straatsma

1.9k total citations · 1 hit paper
51 papers, 1.3k citations indexed

About

Menno Straatsma is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Menno Straatsma has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, 25 papers in Global and Planetary Change and 19 papers in Environmental Engineering. Recurrent topics in Menno Straatsma's work include Hydrology and Sediment Transport Processes (22 papers), Remote Sensing and LiDAR Applications (18 papers) and Soil erosion and sediment transport (16 papers). Menno Straatsma is often cited by papers focused on Hydrology and Sediment Transport Processes (22 papers), Remote Sensing and LiDAR Applications (18 papers) and Soil erosion and sediment transport (16 papers). Menno Straatsma collaborates with scholars based in Netherlands, Malaysia and United States. Menno Straatsma's co-authors include H. Middelkoop, Martin J. Baptist, S.M. de Jong, Khamarrul Azahari Razak, C.J. van Westen, Elisabeth A. Addink, Derek Karssenberg, Niko Wanders, Fredrik Huthoff and Marc F. P. Bierkens and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Menno Straatsma

51 papers receiving 1.2k citations

Hit Papers

PCR-GLOBWB 2: a 5 arcmin ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menno Straatsma Netherlands 17 606 476 458 437 191 51 1.3k
Miguel Marchamalo Spain 20 303 0.5× 574 1.2× 337 0.7× 236 0.5× 271 1.4× 87 1.3k
Ben Jarihani Australia 18 654 1.1× 399 0.8× 373 0.8× 455 1.0× 294 1.5× 26 1.2k
Thomas Gumbricht Sweden 17 621 1.0× 688 1.4× 282 0.6× 326 0.7× 191 1.0× 33 1.6k
Jochen Schmidt New Zealand 18 580 1.0× 325 0.7× 503 1.1× 694 1.6× 231 1.2× 34 1.5k
Nik Callow Australia 21 798 1.3× 704 1.5× 383 0.8× 556 1.3× 199 1.0× 83 1.6k
Jeffrey D. Colby United States 14 482 0.8× 423 0.9× 385 0.8× 186 0.4× 109 0.6× 21 1.1k
Andrew R. G. Large United Kingdom 21 512 0.8× 1.0k 2.1× 349 0.8× 456 1.0× 669 3.5× 41 1.7k
Akihiko Kondoh Japan 20 586 1.0× 302 0.6× 446 1.0× 314 0.7× 152 0.8× 117 1.3k
Pekka M. Rossi Finland 23 435 0.7× 349 0.7× 596 1.3× 779 1.8× 66 0.3× 69 1.8k
John B. Lindsay Canada 27 674 1.1× 874 1.8× 705 1.5× 974 2.2× 684 3.6× 62 2.1k

Countries citing papers authored by Menno Straatsma

Since Specialization
Citations

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

Fields of papers citing papers by Menno Straatsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menno Straatsma

This figure shows the co-authorship network connecting the top 25 collaborators of Menno Straatsma. A scholar is included among the top collaborators of Menno Straatsma 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 Menno Straatsma. Menno Straatsma 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.
Straatsma, Menno, et al.. (2019). Global ecosystem service values in climate class transitions. Environmental Research Letters. 15(2). 24008–24008. 40 indexed citations
2.
Straatsma, Menno, et al.. (2019). Uncertainty quantification of flood mitigation predictions and implications for interventions. Natural hazards and earth system sciences. 19(8). 1737–1753. 21 indexed citations
3.
Schielen, Ralph Mathias Johannes, et al.. (2019). A characterization of side channel development. River Research and Applications. 35(9). 1597–1603. 9 indexed citations
4.
Straatsma, Menno, et al.. (2019). Towards multi-objective optimization of large-scale fluvial landscaping measures. Natural hazards and earth system sciences. 19(6). 1167–1187. 9 indexed citations
5.
Straatsma, Menno, P. Droogers, Johannes Hunink, et al.. (2019). Global to regional scale evaluation of adaptation measures to reduce the future water gap. Environmental Modelling & Software. 124. 104578–104578. 16 indexed citations
6.
Collas, F.P.L., et al.. (2019). Sub-Daily Temperature Heterogeneity in a Side Channel and the Influence on Habitat Suitability of Freshwater Fish. Remote Sensing. 11(20). 2367–2367. 14 indexed citations
7.
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 →
8.
Straatsma, Menno, et al.. (2018). Low-hanging fruits in large-scale fluvial landscaping measures: trade-offs betweenflood hazard, costs, stakeholders and biodiversity. Biogeosciences (European Geosciences Union). 1 indexed citations
9.
Straatsma, Menno, et al.. (2018). Multitemporal Classification of River Floodplain Vegetation Using Time Series of UAV Images. Remote Sensing. 10(7). 1144–1144. 35 indexed citations
10.
Straatsma, Menno, et al.. (2018). Uncertainty quantification of flood mitigation predictions and implications for decision making. Biogeosciences (European Geosciences Union). 4 indexed citations
11.
Straatsma, Menno, et al.. (2017). Biodiversity recovery following delta-wide measures for flood risk reduction. Science Advances. 3(11). e1602762–e1602762. 16 indexed citations
12.
Straatsma, Menno, et al.. (2014). Bridging the climate-induced water gap in the twenty-first century: adaptation support based on water supply, demand, adaptation and financing.. Data Archiving and Networked Services (DANS). 10641. 1 indexed citations
13.
Sutanudjaja, Edwin H., Rens van Beek, Yoshihide Wada, et al.. (2014). Development and validation of PCR-GLOBWB 2.0: a 5 arc min resolution global hydrology and water resources model. EGU General Assembly Conference Abstracts. 9993. 2 indexed citations
14.
Straatsma, Menno, P. Droogers, Wouter Buytaert, et al.. (2013). Water2Invest: Global facility for calculating investments needed to bridge the climate-induced water gap. Utrecht University Repository (Utrecht University). 15. 1 indexed citations
15.
Straatsma, Menno, et al.. (2013). DIFFERENCES IN DISASTER RESPONSE DUE TO VARYING DATA AVAILABILITY A SERIOUS GAME FOR FLOODING DISASTER RESEARCH IN SURAKARTA, INDONESIA. Indonesian Journal of Biotechnology (Universitas Gadjah Mada). 2 indexed citations
16.
Straatsma, Menno. (2010). Error propagation in hydrodynamics of lowland rivers due to uncertainty in vegetation roughness parameterization : abstract.. University of Twente Research Information. 11516. 1 indexed citations
17.
Straatsma, Menno, et al.. (2010). Evolution of River Management: Up to Integrated and Beyond. Nature and Culture. 5(1). 99–115. 1 indexed citations
18.
Straatsma, Menno, Jord Jurriaan Warmink, & H. Middelkoop. (2008). Two novel methods for field measurements of hydrodynamic density of floodplain vegetation using terrestrial laser scanning and digital parallel photography. International Journal of Remote Sensing. 29(5). 1595–1617. 35 indexed citations
19.
Straatsma, Menno & H. Middelkoop. (2007). Extracting structural characteristics of herbaceous floodplain vegetation under leaf‐off conditions using airborne laser scanner data. International Journal of Remote Sensing. 28(11). 2447–2467. 24 indexed citations
20.
Asselman, N.E.M., et al.. (2002). Assessment of the hydraulic roughness of river flood plains using laser altimetry.. IAHS-AISH publication. 381–388. 3 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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