Iris van Duren

1.2k total citations
21 papers, 877 citations indexed

About

Iris van Duren is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Iris van Duren has authored 21 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 9 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Iris van Duren's work include Remote Sensing in Agriculture (9 papers), Land Use and Ecosystem Services (7 papers) and Biofuel production and bioconversion (5 papers). Iris van Duren is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Land Use and Ecosystem Services (7 papers) and Biofuel production and bioconversion (5 papers). Iris van Duren collaborates with scholars based in Netherlands, Germany and Ethiopia. Iris van Duren's co-authors include Davide Geneletti, Andrew K. Skidmore, Alexey Voinov, Roshanak Darvishzadeh, Abebe Mohammed Ali, Oludunsin Arodudu, Abel Chemura, Tyas Mutiara Basuki, Y.A. Hussin and Marco Heurich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Renewable Energy.

In The Last Decade

Iris van Duren

21 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris van Duren Netherlands 15 462 312 259 161 123 21 877
Daniel Alves Aguiar Brazil 11 452 1.0× 392 1.3× 235 0.9× 302 1.9× 131 1.1× 22 1.1k
Michelle Cristina Araújo Picoli Brazil 20 557 1.2× 463 1.5× 292 1.1× 294 1.8× 75 0.6× 54 1.3k
Bruno Verbist Belgium 18 275 0.6× 603 1.9× 132 0.5× 154 1.0× 28 0.2× 60 1.3k
Adam Oliphant United States 14 957 2.1× 749 2.4× 344 1.3× 256 1.6× 63 0.5× 26 1.6k
G. A. Alexandrov Russia 16 230 0.5× 480 1.5× 182 0.7× 73 0.5× 49 0.4× 52 941
Ritvik Sahajpal United States 17 345 0.7× 622 2.0× 233 0.9× 180 1.1× 331 2.7× 43 1.5k
Anna Repo Finland 18 227 0.5× 819 2.6× 263 1.0× 68 0.4× 108 0.9× 35 1.3k
Darran King Australia 21 153 0.3× 482 1.5× 96 0.4× 91 0.6× 49 0.4× 31 1.1k
G. Tuck United Kingdom 5 134 0.3× 337 1.1× 68 0.3× 142 0.9× 134 1.1× 6 753
D. de C. Victoria Brazil 15 434 0.9× 352 1.1× 265 1.0× 196 1.2× 21 0.2× 71 987

Countries citing papers authored by Iris van Duren

Since Specialization
Citations

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

Fields of papers citing papers by Iris van Duren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris van Duren. 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 Iris van Duren. The network helps show where Iris van Duren may publish in the future.

Co-authorship network of co-authors of Iris van Duren

This figure shows the co-authorship network connecting the top 25 collaborators of Iris van Duren. A scholar is included among the top collaborators of Iris van Duren 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 Iris van Duren. Iris van Duren 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.
Saintilan, Neil, et al.. (2023). Monitoring Coastal Water Body Health with Sentinel-2 MSI Imagery. Remote Sensing. 15(7). 1734–1734. 9 indexed citations
3.
Skidmore, Andrew K., et al.. (2021). Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables. Ecological Indicators. 132. 108272–108272. 9 indexed citations
4.
Ali, Abebe Mohammed, Roshanak Darvishzadeh, Andrew K. Skidmore, & Iris van Duren. (2017). Specific leaf area estimation from leaf and canopy reflectance through optimization and validation of vegetation indices. Agricultural and Forest Meteorology. 236. 162–174. 50 indexed citations
5.
Yazan, Devrim Murat, Iris van Duren, Martijn Mes, et al.. (2016). Design of sustainable second-generation biomass supply chains. Biomass and Bioenergy. 94. 173–186. 35 indexed citations
6.
Ali, Abebe Mohammed, et al.. (2016). Retrieval of forest leaf functional traits from HySpex imagery using radiative transfer models and continuous wavelet analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 122. 68–80. 45 indexed citations
7.
Voinov, Alexey, Oludunsin Arodudu, Iris van Duren, Javier Morales, & Ling Qin. (2015). Estimating the potential of roadside vegetation for bioenergy production. Journal of Cleaner Production. 102. 213–225. 23 indexed citations
8.
Ali, Abebe Mohammed, Roshanak Darvishzadeh, Andrew K. Skidmore, et al.. (2015). Prospect inversion for indirect estimation of leaf dry matter content and specific leaf area. SHILAP Revista de lepidopterología. XL-7/W3. 277–284. 7 indexed citations
9.
Ali, Abebe Mohammed, Roshanak Darvishzadeh, Andrew K. Skidmore, et al.. (2015). Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest. International Journal of Applied Earth Observation and Geoinformation. 45. 66–76. 75 indexed citations
10.
Chemura, Abel, et al.. (2014). Determination of the age of oil palm from crown projection area detected from WorldView-2 multispectral remote sensing data: The case of Ejisu-Juaben district, Ghana. ISPRS Journal of Photogrammetry and Remote Sensing. 100. 118–127. 77 indexed citations
11.
Duren, Iris van, et al.. (2014). Where to produce rapeseed biodiesel and why? Mapping European rapeseed energy efficiency. Renewable Energy. 74. 49–59. 73 indexed citations
12.
Arodudu, Oludunsin, et al.. (2014). Exploring bioenergy potentials of built-up areas based on NEG-EROEI indicators. Ecological Indicators. 47. 67–79. 28 indexed citations
13.
Duker, A.A., et al.. (2014). Support vector machine to map oil palm in a heterogeneous environment. International Journal of Remote Sensing. 35(13). 4778–4794. 45 indexed citations
14.
Andel, Jelte van, et al.. (2013). Morphological plasticity of corms in enhancing invasion of Chromolaena odorata. Banko Janakari. 21(2). 3–12. 3 indexed citations
15.
Arodudu, Oludunsin, Alexey Voinov, & Iris van Duren. (2013). Assessing bioenergy potential in rural areas – A NEG-EROEI approach. Biomass and Bioenergy. 58. 350–364. 22 indexed citations
16.
Basuki, Tyas Mutiara, Andrew K. Skidmore, Y.A. Hussin, & Iris van Duren. (2013). Estimating tropical forest biomass more accurately by integrating ALOS PALSAR and Landsat-7 ETM+ data. International Journal of Remote Sensing. 34(13). 4871–4888. 45 indexed citations
17.
Duren, Iris van, et al.. (2013). Energy efficiency for rapeseed biodiesel production in different farming systems. Energy Efficiency. 7(1). 79–95. 68 indexed citations
18.
Groen, T.A., et al.. (2012). Tree Line Change Detection Using Historical Hexagon Mapping Camera Imagery and Google Earth Data. GIScience & Remote Sensing. 49(6). 933–943. 7 indexed citations
19.
Basuki, Tyas Mutiara, Andrew K. Skidmore, P.E. van Laake, Iris van Duren, & Y.A. Hussin. (2011). The potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass. Geocarto International. 27(4). 329–345. 21 indexed citations
20.
Geneletti, Davide & Iris van Duren. (2008). Protected area zoning for conservation and use: A combination of spatial multicriteria and multiobjective evaluation. Landscape and Urban Planning. 85(2). 97–110. 194 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026