Koen Meuleman

792 total citations
26 papers, 394 citations indexed

About

Koen Meuleman is a scholar working on Ecology, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Koen Meuleman has authored 26 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 10 papers in Aerospace Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Koen Meuleman's work include Remote Sensing in Agriculture (11 papers), Calibration and Measurement Techniques (10 papers) and Remote-Sensing Image Classification (7 papers). Koen Meuleman is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Calibration and Measurement Techniques (10 papers) and Remote-Sensing Image Classification (7 papers). Koen Meuleman collaborates with scholars based in Belgium, Switzerland and Netherlands. Koen Meuleman's co-authors include Marian-Daniel Iordache, Andreas Hueni, Kristin Vreys, Daniel Schläpfer, K.I. Itten, Jens Nieke, Daniel Odermatt, Petra D’Odorico, Bogdan Zagajewski and Tobias Kellenberger and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and International Journal of Remote Sensing.

In The Last Decade

Koen Meuleman

24 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koen Meuleman Belgium 12 203 138 121 102 94 26 394
R. Richter Germany 8 197 1.0× 115 0.8× 66 0.5× 101 1.0× 139 1.5× 19 384
Susan Meerdink United States 8 211 1.0× 195 1.4× 113 0.9× 96 0.9× 175 1.9× 14 493
Stefan Sandmeier Switzerland 4 257 1.3× 129 0.9× 90 0.7× 84 0.8× 167 1.8× 4 373
M. Kneubuehler Switzerland 8 193 1.0× 86 0.6× 44 0.4× 66 0.6× 131 1.4× 25 303
R. Loizzo Italy 7 145 0.7× 98 0.7× 71 0.6× 151 1.5× 84 0.9× 14 373
Rocchina Guarini Italy 9 186 0.9× 151 1.1× 86 0.7× 149 1.5× 91 1.0× 17 440
Khalid Omari Canada 11 168 0.8× 104 0.8× 115 1.0× 74 0.7× 164 1.7× 29 413
Camille Desjardins France 9 217 1.1× 135 1.0× 105 0.9× 97 1.0× 161 1.7× 18 428
Olga Sykioti Greece 10 265 1.3× 136 1.0× 79 0.7× 106 1.0× 138 1.5× 40 481
Ettore Lopinto Italy 5 123 0.6× 124 0.9× 93 0.8× 116 1.1× 86 0.9× 8 356

Countries citing papers authored by Koen Meuleman

Since Specialization
Citations

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

Fields of papers citing papers by Koen Meuleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koen Meuleman

This figure shows the co-authorship network connecting the top 25 collaborators of Koen Meuleman. A scholar is included among the top collaborators of Koen Meuleman 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 Koen Meuleman. Koen Meuleman 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.
Tack, Frederik, Alexis Merlaud, Andreas Carlos Meier, et al.. (2019). Intercomparison of four airborne imaging DOAS systems for tropospheric NO 2 mapping – the AROMAPEX campaign. Atmospheric measurement techniques. 12(1). 211–236. 23 indexed citations
2.
Tack, Frederik, Alexis Merlaud, Marian-Daniel Iordache, et al.. (2017). High-resolution mapping of the NO 2 spatial distribution over Belgian urban areas based on airborne APEX remote sensing. Atmospheric measurement techniques. 10(5). 1665–1688. 25 indexed citations
3.
Zagajewski, Bogdan, et al.. (2016). Mapping asbestos-cement roofing with the use of APEX hyperspectral airborne imagery: Karpacz area, Poland – a case study. Miscellanea Geographica. 20(1). 41–46. 13 indexed citations
4.
Sterckx, Sindy, et al.. (2016). Atmospheric correction of APEX hyperspectral data. Miscellanea Geographica. 20(1). 16–20. 24 indexed citations
5.
Vreys, Kristin, et al.. (2016). Geometric correction of APEX hyperspectral data. Miscellanea Geographica. 20(1). 11–15. 25 indexed citations
6.
Zagajewski, Bogdan, Anna Jarocińska, Edwin Raczko, et al.. (2014). Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines. Miscellanea Geographica. 18(2). 23–29. 20 indexed citations
7.
Hueni, Andreas, Sindy Sterckx, Michael Jehle, et al.. (2012). Operational status of apex and characteristics of the apex open science data set. 5009–5012. 6 indexed citations
8.
Schaepman, Michael E., Andreas Hueni, Koen Meuleman, et al.. (2010). APEX status pt.1: instrument development and performance. Socio-Environmental Systems Modeling. 6–6. 1 indexed citations
9.
Jehle, Michael, Andreas Hueni, Alexander Damm, et al.. (2010). APEX - current status, performance and validation concept. 533–537. 27 indexed citations
10.
Meuleman, Koen, K.I. Itten, & Michael E. Schaepman. (2009). First test results of the airborne dispersive pushbroom imaging spectrometer APEX. EGUGA. 11216. 1 indexed citations
11.
Laet, Véronique De, Étienne Paulissen, Koen Meuleman, & Marc Waelkens. (2009). Effects of image characteristics on the identification and extraction of archaeological features from Ikonos-2 and Quickbird-2 imagery: case study Sagalassos (southwest Turkey). International Journal of Remote Sensing. 30(21). 5655–5668. 16 indexed citations
12.
Hueni, Andreas, et al.. (2009). The structure of the APEX (airborne prism experiment) Processing and Archiving Facility. 1–4. 5 indexed citations
13.
Hueni, Andreas, Koen Meuleman, Daniel Schläpfer, et al.. (2008). Structure, Components, and Interfaces of the Airborne Prism Experiment (APEX) Processing and Archiving Facility. IEEE Transactions on Geoscience and Remote Sensing. 47(1). 29–43. 54 indexed citations
14.
Nieke, Jens, K.I. Itten, Koen Meuleman, et al.. (2008). Supporting Facilities of the Airborne Imaging Spectrometer APEX. 3438. V – 502. 4 indexed citations
15.
Schläpfer, Daniel, et al.. (2008). Evaluation of the atmospheric correction procedure for the APEX level 2/3 processor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7107. 710709–710709. 4 indexed citations
16.
Reusen, I., Stefanie Holzwarth, Jens Nieke, et al.. (2007). Towards an improved access to hyperspectral data across Europe (HYRESSA). Socio-Environmental Systems Modeling. 13–13. 2 indexed citations
17.
Samson, Roeland, Sam Provoost, Lieven P. C. Verbeke, et al.. (2005). LAI determination in dune vegetation: a comparison of different techniques. Flanders Marine Institute (Flanders Marine Institute). 1 indexed citations
18.
Nieke, Jens, K.I. Itten, Walter Debruyn, et al.. (2005). THE AIRBORNE IMAGING SPECTROMETER APEX: FROM CONCEPT TO REALISATION. Socio-Environmental Systems Modeling. 1. 73–80. 12 indexed citations
19.
Meuleman, Koen, et al.. (2003). Optimal hyperspectral indicators for stress detection in orchards. 534–541. 4 indexed citations
20.
Debruyn, Walter, I. Reusen, Pieter Kempeneers, et al.. (2003). The airborne imaging spectrometer APEX (Airborne PRISM Experiment): Overview and status questions. Socio-Environmental Systems Modeling. 459–462. 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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