Harro Maat

1.4k total citations
71 papers, 763 citations indexed

About

Harro Maat is a scholar working on General Agricultural and Biological Sciences, Global and Planetary Change and Sociology and Political Science. According to data from OpenAlex, Harro Maat has authored 71 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Agricultural and Biological Sciences, 15 papers in Global and Planetary Change and 10 papers in Sociology and Political Science. Recurrent topics in Harro Maat's work include Agriculture, Land Use, Rural Development (13 papers), Agricultural Innovations and Practices (11 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Harro Maat is often cited by papers focused on Agriculture, Land Use, Rural Development (13 papers), Agricultural Innovations and Practices (11 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). Harro Maat collaborates with scholars based in Netherlands, United Kingdom and United States. Harro Maat's co-authors include Rutgerd Boelens, Lena Hommes, Rica Joy Flor, Paul Richards, Tinde van Andel, Esther Yei Mokuwa, Buyung Hadi, Bart van den Hurk, A.E.J. Wals and Albrecht Weerts and has published in prestigious journals such as PLoS ONE, Molecular Biology and Evolution and Frontiers in Plant Science.

In The Last Decade

Harro Maat

65 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harro Maat Netherlands 17 163 162 146 112 101 71 763
Paul McCord United States 14 241 1.5× 184 1.1× 58 0.4× 86 0.8× 52 0.5× 22 701
Anthony Nyong Nigeria 10 196 1.2× 143 0.9× 67 0.5× 221 2.0× 24 0.2× 14 888
Kenneth J. Thomson United Kingdom 15 194 1.2× 325 2.0× 189 1.3× 80 0.7× 51 0.5× 53 1.2k
Axel Drescher Germany 17 241 1.5× 72 0.4× 259 1.8× 64 0.6× 36 0.4× 42 808
Mats Olsson Sweden 16 189 1.2× 43 0.3× 120 0.8× 66 0.6× 48 0.5× 66 929
Norbert Henninger Kenya 10 218 1.3× 130 0.8× 44 0.3× 145 1.3× 30 0.3× 14 933
Maxwell Mudhara South Africa 21 137 0.8× 485 3.0× 139 1.0× 209 1.9× 28 0.3× 96 1.3k
Jessica Thorn United Kingdom 17 372 2.3× 52 0.3× 66 0.5× 136 1.2× 36 0.4× 46 838
Yiheyis Maru Australia 14 306 1.9× 146 0.9× 68 0.5× 313 2.8× 26 0.3× 43 1.1k
Heikki Lehtonen Finland 20 269 1.7× 258 1.6× 133 0.9× 144 1.3× 83 0.8× 105 1.2k

Countries citing papers authored by Harro Maat

Since Specialization
Citations

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

Fields of papers citing papers by Harro Maat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harro Maat

This figure shows the co-authorship network connecting the top 25 collaborators of Harro Maat. A scholar is included among the top collaborators of Harro Maat 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 Harro Maat. Harro Maat 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.
Leeuwis, Cees, et al.. (2025). Under farmers’ eyes: understanding differential access to subsidized fertilizers in Ghana. Nutrient Cycling in Agroecosystems. 131(3). 693–711.
2.
3.
Loosdrecht, Marieke S. van de, Frank Becker, Harro Maat, et al.. (2024). Maroon Rice Genomic Diversity Reflects 350 Years of Colonial History. Molecular Biology and Evolution. 41(10). 1 indexed citations
4.
Maat, Harro, et al.. (2024). Yield and growth duration of Maroon rice landraces measured in traditional settings. Genetic Resources and Crop Evolution. 72(2). 2211–2226. 1 indexed citations
5.
Maat, Harro, Dina Balabanova, Mirkuzie Woldie, et al.. (2024). Engaging communities as partners in health crisis response: a realist-informed scoping review for research and policy. Health Research Policy and Systems. 22(1). 56–56. 5 indexed citations
6.
Maat, Harro, et al.. (2023). The role of crop diversity in escape agriculture; rice cultivation among Maroon communities in Suriname. Plants People Planet. 6(5). 1142–1149. 3 indexed citations
7.
Loosdrecht, Marieke S. van de, et al.. (2023). Vernacular Names of Traditional Rice Varieties Reveal the Unique History of Maroons in Suriname and French Guiana. Economic Botany. 77(2). 117–134. 5 indexed citations
8.
Ludwig, David, et al.. (2022). The Dutch see Red: (in)formal science advisory bodies during the COVID-19 pandemic. Humanities and Social Sciences Communications. 9(1). 464–464. 2 indexed citations
9.
Maat, Harro, et al.. (2021). The legacy of traditional rice cultivation by descendants of Indian contract laborers in Suriname. Journal of Ethnobiology and Ethnomedicine. 17(1). 60–60. 6 indexed citations
10.
Mokuwa, Esther Yei & Harro Maat. (2020). Rural populations exposed to Ebola Virus Disease respond positively to localised case handling: Evidence from Sierra Leone. PLoS neglected tropical diseases. 14(1). e0007666–e0007666. 11 indexed citations
11.
Andel, Tinde van, et al.. (2019). Hidden Rice Diversity in the Guianas. Frontiers in Plant Science. 10. 1161–1161. 22 indexed citations
12.
Vaandrager, Lenneke, et al.. (2017). Poverty and health among CDC plantation labourers in Cameroon: Perceptions, challenges and coping strategies. PLoS neglected tropical diseases. 11(11). e0006100–e0006100. 8 indexed citations
13.
Andel, Tinde van, Rachel S. Meyer, Saulo Aflitos, et al.. (2016). Tracing ancestor rice of Suriname Maroons back to its African origin. Nature Plants. 2(10). 16149–16149. 24 indexed citations
14.
Elbers, J.A., Eddy Moors, Ronald Hutjes, et al.. (2013). Inter-annual variability of carbon exchange and extreme events at the Loobos pine forest. Socio-Environmental Systems Modeling. 1 indexed citations
15.
Nuijten, Edwin, Florent Okry, Béla Teeken, et al.. (2013). Robustness and Strategies of Adaptation among Farmer Varieties of African Rice (Oryza glaberrima) and Asian Rice (Oryza sativa) across West Africa. PLoS ONE. 8(3). e34801–e34801. 19 indexed citations
16.
Hove, Bert van, Gert‐Jan Steeneveld, C.M.J. Jacobs, et al.. (2010). Modelling and observing urban climate in the Netherlands. Socio-Environmental Systems Modeling. 3 indexed citations
17.
Pelt, S.C. van, P. Kabat, Harro Maat, Bart van den Hurk, & Albrecht Weerts. (2009). Discharge simulations performed with a hydrological model using bias corrected regional climate model input. Hydrology and earth system sciences. 13(12). 2387–2397. 43 indexed citations
18.
Sarrat, C., J. Noilhan, A. J. Dolman, et al.. (2007). Atmospheric CO 2 modeling at the regional scale: an intercomparison of 5 meso-scale atmospheric models. Biogeosciences. 4(6). 1115–1126. 42 indexed citations
19.
Maat, Harro. (2003). Het innovatiesysteem voor de Nederlandse landbouw. Data Archiving and Networked Services (DANS). 2003(66). 233–262. 3 indexed citations
20.
Maat, Harro. (2001). Van wetenschap voor de boer naar wetenschap voor de consument? De historische ontwikkeling van de landbouwwetenschap.. Socio-Environmental Systems Modeling. 3. 21–24. 1 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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