Stefan Suess

566 total citations
9 papers, 482 citations indexed

About

Stefan Suess is a scholar working on Global and Planetary Change, Ecology and Media Technology. According to data from OpenAlex, Stefan Suess has authored 9 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 6 papers in Ecology and 4 papers in Media Technology. Recurrent topics in Stefan Suess's work include Remote Sensing in Agriculture (6 papers), Land Use and Ecosystem Services (6 papers) and Remote-Sensing Image Classification (4 papers). Stefan Suess is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Land Use and Ecosystem Services (6 papers) and Remote-Sensing Image Classification (4 papers). Stefan Suess collaborates with scholars based in Germany, Philippines and United Kingdom. Stefan Suess's co-authors include Patrick Hostert, Sebastian van der Linden, Akpona Okujeni, Pedro J. Leitão, Marcel Schwieder, Andreas Rabe, Benjamin Jakimow, Cornelius Senf, Patrick Griffiths and Daniel Müller and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and Methods in Ecology and Evolution.

In The Last Decade

Stefan Suess

9 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Suess Germany	9	315	242	141	128	89	9	482
Benjamin Mack Germany	12	408 1.3×	262 1.1×	152 1.1×	146 1.1×	111 1.2×	13	626
Uwe Müller-Wilm Germany	5	303 1.0×	190 0.8×	170 1.2×	110 0.9×	77 0.9×	9	481
Benjamin Jakimow Germany	9	259 0.8×	201 0.8×	143 1.0×	133 1.0×	91 1.0×	11	450
J. Beaubien Canada	11	330 1.0×	196 0.8×	163 1.2×	120 0.9×	113 1.3×	12	483
Nigel Trodd United Kingdom	8	250 0.8×	162 0.7×	96 0.7×	157 1.2×	86 1.0×	17	465
Michael Karteris Greece	9	284 0.9×	243 1.0×	201 1.4×	151 1.2×	78 0.9×	9	519
Robert A. Chastain United States	9	345 1.1×	227 0.9×	154 1.1×	63 0.5×	78 0.9×	12	494
C. Ann Bateson United States	6	376 1.2×	194 0.8×	125 0.9×	247 1.9×	147 1.7×	7	577
Daniel Capella Zanotta Brazil	9	211 0.7×	89 0.4×	148 1.0×	118 0.9×	68 0.8×	42	427
Margarita Huesca Spain	15	367 1.2×	316 1.3×	193 1.4×	47 0.4×	72 0.8×	39	538

Countries citing papers authored by Stefan Suess

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Suess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Suess

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

All Works

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9 of 9 papers shown

Suess, Stefan, Sebastian van der Linden, Akpona Okujeni, et al.. (2018). Characterizing 32 years of shrub cover dynamics in southern Portugal using annual Landsat composites and machine learning regression modeling. Remote Sensing of Environment. 219. 353–364. 53 indexed citations

Okujeni, Akpona, Sebastian van der Linden, Stefan Suess, & Patrick Hostert. (2016). Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(4). 1640–1650. 59 indexed citations

Suess, Stefan, Sebastian van der Linden, Akpona Okujeni, et al.. (2015). Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data. Remote Sensing. 7(8). 10668–10688. 20 indexed citations

Linden, Sebastian van der, Andreas Rabe, Benjamin Jakimow, et al.. (2015). The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing. Remote Sensing. 7(9). 11249–11266. 203 indexed citations

Leitão, Pedro J., Marcel Schwieder, Stefan Suess, et al.. (2015). Mapping beta diversity from space: Sparse Generalised Dissimilarity Modelling (SGDM) for analysing high‐dimensional data. Methods in Ecology and Evolution. 6(7). 764–771. 15 indexed citations

Leitão, Pedro J., Marcel Schwieder, Stefan Suess, et al.. (2015). Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP. Remote Sensing. 7(10). 13098–13119. 26 indexed citations

Schwieder, Marcel, Pedro J. Leitão, Stefan Suess, Cornelius Senf, & Patrick Hostert. (2014). Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques. Remote Sensing. 6(4). 3427–3445. 63 indexed citations

Suess, Stefan, Sebastian van der Linden, Pedro J. Leitão, et al.. (2013). Import Vector Machines for Quantitative Analysis of Hyperspectral Data. IEEE Geoscience and Remote Sensing Letters. 11(2). 449–453. 13 indexed citations

Müller, Daniel, et al.. (2013). The Value of Satellite-Based Active Fire Data for Monitoring, Reporting and Verification of REDD+ in the Lao PDR. Human Ecology. 41(1). 7–20. 30 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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