Suzanne Marselis

2.2k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Suzanne Marselis is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Suzanne Marselis has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 9 papers in Environmental Engineering and 7 papers in Nature and Landscape Conservation. Recurrent topics in Suzanne Marselis's work include Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (8 papers) and Forest ecology and management (6 papers). Suzanne Marselis is often cited by papers focused on Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (8 papers) and Forest ecology and management (6 papers). Suzanne Marselis collaborates with scholars based in Netherlands, United States and Czechia. Suzanne Marselis's co-authors include Ralph Dubayah, Hao Tang, John Armston, Steven Hancock, S. J. Goetz, Temilola Fatoyinbo, James R. Kellner, Laura Duncanson, J. B. Blair and Wenlu Qi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Suzanne Marselis

18 papers receiving 1.1k citations

Hit Papers

The Global Ecosystem Dynamics Investigation: High-resolut... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Marselis Netherlands 10 793 618 453 414 106 18 1.1k
Wenlu Qi United States 8 864 1.1× 639 1.0× 429 0.9× 449 1.1× 90 0.8× 14 1.2k
Paul Magdon Germany 15 490 0.6× 493 0.8× 358 0.8× 267 0.6× 72 0.7× 27 874
M. O. Hunter Brazil 7 726 0.9× 521 0.8× 370 0.8× 589 1.4× 42 0.4× 11 1.0k
Renée E. Bartolo Australia 18 406 0.5× 583 0.9× 340 0.8× 234 0.6× 62 0.6× 53 981
Anssi Pekkarinen Italy 19 970 1.2× 806 1.3× 443 1.0× 569 1.4× 77 0.7× 33 1.4k
Wade T. Tinkham United States 20 443 0.6× 476 0.8× 808 1.8× 366 0.9× 67 0.6× 52 1.2k
Sage Sheldon United States 10 531 0.7× 566 0.9× 418 0.9× 279 0.7× 62 0.6× 11 898
Y.A. Hussin Netherlands 16 882 1.1× 546 0.9× 519 1.1× 774 1.9× 33 0.3× 74 1.4k
William Woodgate Australia 18 563 0.7× 598 1.0× 663 1.5× 325 0.8× 66 0.6× 53 1.2k
Svetlana Saarela Sweden 18 1.1k 1.4× 705 1.1× 454 1.0× 764 1.8× 46 0.4× 36 1.3k

Countries citing papers authored by Suzanne Marselis

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Marselis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Marselis

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Marselis. A scholar is included among the top collaborators of Suzanne Marselis 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 Suzanne Marselis. Suzanne Marselis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Marselis, Suzanne, et al.. (2025). Towards sustainable agriculture: A blueprint for European KPI-based farm-level assessment. Ecological Indicators. 175. 113560–113560. 1 indexed citations
2.
Marselis, Suzanne, S. Emilia Hannula, Krijn B. Trimbos, et al.. (2024). The use of living labs to advance agro-ecological theory in the transition towards sustainable land use: A tale of two polders. Environmental Impact Assessment Review. 108. 107588–107588. 7 indexed citations
3.
Marselis, Suzanne, et al.. (2024). AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images. Remote Sensing. 16(3). 443–443. 3 indexed citations
4.
Moudrý, Vítězslav, Lukáš Gábor, Suzanne Marselis, et al.. (2024). Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed. Ecosphere. 15(10). 13 indexed citations
5.
Taherzadeh, Oliver, et al.. (2024). Consumer resistance diminishes environmental gains of dietary change. Environmental Research Letters. 19(5). 54033–54033. 5 indexed citations
6.
Moudrý, Vítězslav, Jiří Prošek, Suzanne Marselis, et al.. (2024). How to Find Accurate Terrain and Canopy Height GEDI Footprints in Temperate Forests and Grasslands?. Earth and Space Science. 11(10). 6 indexed citations
7.
Marselis, Suzanne, Temuulen Tsagaan Sankey, Carlos Çabo, et al.. (2024). LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review. Current Forestry Reports. 10(4). 281–297. 40 indexed citations
8.
Marselis, Suzanne, et al.. (2024). Co-designing a research agenda for climate adaptation in El Salvador’s coffee sector: A transdisciplinary perspective. Environmental Science & Policy. 153. 103678–103678. 1 indexed citations
9.
Marselis, Suzanne, Petr Keil, Jonathan M. Chase, & Ralph Dubayah. (2022). The use of GEDI canopy structure for explaining variation in tree species richness in natural forests. Environmental Research Letters. 17(4). 45003–45003. 30 indexed citations
10.
Armston, John, Hao Tang, Suzanne Marselis, et al.. (2020). AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, 2016. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 9 indexed citations
11.
Dubayah, Ralph, J. B. Blair, S. J. Goetz, et al.. (2020). The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography. SHILAP Revista de lepidopterología. 1. 100002–100002. 764 indexed citations breakdown →
12.
Lee, Seung-Kuk, Temilola Fatoyinbo, Suzanne Marselis, et al.. (2019). Spaceborne Data Fusion for Large-Scale Forest Parameter Estimation: GEDI Lidar & Tandem-X INSAR Missions. 4491–4494. 4 indexed citations
13.
Marselis, Suzanne, Hao Tang, John Armston, et al.. (2019). Exploring the relation between remotely sensed vertical canopy structure and tree species diversity in Gabon. Environmental Research Letters. 14(9). 94013–94013. 24 indexed citations
14.
Tang, Hao, John Armston, Steven Hancock, et al.. (2019). Characterizing global forest canopy cover distribution using spaceborne lidar. Remote Sensing of Environment. 231. 111262–111262. 103 indexed citations
15.
Marselis, Suzanne, et al.. (2018). Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon. Remote Sensing of Environment. 216. 626–634. 33 indexed citations
16.
Fatoyinbo, Temilola, S. S. Saatchi, John Armston, et al.. (2018). AfriSAR: Mondah Forest Tree Species, Biophysical, and Biomass Data, Gabon, 2016. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 5 indexed citations
17.
Marselis, Suzanne, et al.. (2017). Agricultural land displacement and undernourishment. Journal of Cleaner Production. 161. 619–628. 36 indexed citations
18.
Marselis, Suzanne, Marta Yebra, Tom Jovanovic, & Albert I. J. M. van Dijk. (2016). Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification. Environmental Modelling & Software. 82. 142–151. 40 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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