Herman Eerens

1.1k total citations
25 papers, 877 citations indexed

About

Herman Eerens is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Herman Eerens has authored 25 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 12 papers in Global and Planetary Change and 9 papers in Atmospheric Science. Recurrent topics in Herman Eerens's work include Remote Sensing in Agriculture (21 papers), Remote Sensing and Land Use (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Herman Eerens is often cited by papers focused on Remote Sensing in Agriculture (21 papers), Remote Sensing and Land Use (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Herman Eerens collaborates with scholars based in Belgium, Italy and Austria. Herman Eerens's co-authors include Frank Veroustraete, Bernard Tychon, Riad Balaghi, Isabelle Piccard, Lieven Bydekerke, Jos Van Orshoven, C. Toté, Felix Rembold, Ferdinando Urbano and Olivier Léo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Herman Eerens

24 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Herman Eerens Belgium 12 595 543 232 170 161 25 877
Hitoshi Toritani Japan 8 645 1.1× 419 0.8× 240 1.0× 252 1.5× 220 1.4× 21 895
Alan J. Stern United States 11 617 1.0× 320 0.6× 324 1.4× 223 1.3× 140 0.9× 26 896
Astrid Verhegghen Italy 13 538 0.9× 522 1.0× 260 1.1× 99 0.6× 120 0.7× 29 887
Sibylle Itzerott Germany 15 513 0.9× 265 0.5× 296 1.3× 211 1.2× 135 0.8× 34 826
Yuting Zhou China 8 653 1.1× 424 0.8× 240 1.0× 188 1.1× 327 2.0× 9 882
Sophie Moulin France 9 512 0.9× 353 0.7× 255 1.1× 239 1.4× 104 0.6× 12 712
Xinchuan Li China 12 413 0.7× 276 0.5× 185 0.8× 191 1.1× 135 0.8× 21 674
P. Ratana United States 6 711 1.2× 779 1.4× 229 1.0× 96 0.6× 125 0.8× 10 1.0k
Diego de Abelleyra Argentina 12 401 0.7× 280 0.5× 172 0.7× 213 1.3× 111 0.7× 30 736
Huaan Jin China 17 714 1.2× 590 1.1× 395 1.7× 173 1.0× 264 1.6× 58 1.1k

Countries citing papers authored by Herman Eerens

Since Specialization
Citations

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

Fields of papers citing papers by Herman Eerens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Herman Eerens

This figure shows the co-authorship network connecting the top 25 collaborators of Herman Eerens. A scholar is included among the top collaborators of Herman Eerens 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 Herman Eerens. Herman Eerens 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.
Dong, Qinghan, et al.. (2019). Sub-Pixel Crop Type Classification Using PROBA-V 100 m NDVI Time Series and Reference Data from Sentinel-2 Classifications. Remote Sensing. 11(11). 1370–1370. 17 indexed citations
2.
Eerens, Herman, et al.. (2016). FAO’s AVHRR-based Agricultural Stress Index System (ASIS) for global drought monitoring. International Journal of Remote Sensing. 37(2). 418–439. 39 indexed citations
3.
Kempeneers, Pieter, F. Sedano, Isabelle Piccard, & Herman Eerens. (2016). Data Assimilation of PROBA-V 100 and 300 m. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(7). 3314–3325. 7 indexed citations
4.
Gellens-Meulenberghs, Françoise, Alirio Arboleda, Grégory Duveiller, et al.. (2012). Estimating crop-specific evapotranspiration using remote-sensing imagery at various spatial resolutions for improving crop growth modelling. International Journal of Remote Sensing. 34(9-10). 3274–3288. 10 indexed citations
5.
Bydekerke, Lieven, et al.. (2012). Crop mapping in countries with small-scale farming: a case study for West Shewa, Ethiopia. International Journal of Remote Sensing. 34(7). 2566–2582. 30 indexed citations
6.
Roerink, G.J., Jędrzej S. Bojanowski, Allard de Wit, et al.. (2012). Evaluation of MSG-derived global radiation estimates for application in a regional crop model. Agricultural and Forest Meteorology. 160. 36–47. 30 indexed citations
7.
Meroni, Michele, Clement Atzberger, Nadine Gobron, et al.. (2012). Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series. IEEE Transactions on Geoscience and Remote Sensing. 51(4). 1951–1962. 55 indexed citations
8.
Eerens, Herman, Qinghan Dong, Pierre Ozer, & Xiufen Li. (2011). A field-based crop and land use map over Sanjiang plain in Heilongjiang derived from multi-temporal imagery of Landsat7-ETM+. SHILAP Revista de lepidopterología. 3 indexed citations
9.
Li, Qiangzi, Bingfang Wu, Kun Jia, et al.. (2011). Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data in the North China Plain. Computers and Electronics in Agriculture. 78(2). 208–214. 16 indexed citations
10.
Toté, C., et al.. (2011). Effect of ENSO events on sediment production in a large coastal basin in northern Peru. Earth Surface Processes and Landforms. 36(13). 1776–1788. 26 indexed citations
11.
Eerens, Herman, et al.. (2011). Efficient collection of training data for sub-pixel land cover classification using neural networks. International Journal of Applied Earth Observation and Geoinformation. 13(4). 657–667. 8 indexed citations
12.
Horion, Stéphanie, Herman Eerens, Bernard Tychon, & Yves Cornet. (2007). Spatial aggregation of low resolution satellite data for the monitoring of vegetation response to climatic stresses : analysis of the spatial heterogeneity of aggregated entities.. Open Repository and Bibliography (University of Liège). 2 indexed citations
13.
14.
Eerens, Herman, et al.. (2007). Sub-pixel classification of SPOT-VEGETATION time series for the assessment of regional crop areas in Belgium. International Journal of Applied Earth Observation and Geoinformation. 10(4). 486–497. 74 indexed citations
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17.
Tychon, Bernard, Pierre Ozer, Robert Oger, et al.. (2003). Belgian and Chinese Crop Growth Monitoring Systems: comparison, adaptation and improvement – An introduction. Open Repository and Bibliography (University of Liège). 1 indexed citations
18.
Swinnen, Else, et al.. (2002). Sub-pixel land-cover classification with SPOT-VEGETATION imagery. 1. 537–539. 5 indexed citations
19.
Veroustraete, Frank, et al.. (2002). Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sensing of Environment. 83(3). 376–399. 252 indexed citations
20.
Canters, Frank, Herman Eerens, & Frank Veroustraete. (1999). Estimation of land-cover proportions from aggregated medium-resolution satellite data. VUBIR (Vrije Universiteit Brussel). 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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