Christian Debes

1.9k total citations · 1 hit paper
40 papers, 1.5k citations indexed

About

Christian Debes is a scholar working on Biomedical Engineering, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Christian Debes has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 12 papers in Aerospace Engineering and 11 papers in Ocean Engineering. Recurrent topics in Christian Debes's work include Microwave Imaging and Scattering Analysis (14 papers), Geophysical Methods and Applications (11 papers) and Advanced SAR Imaging Techniques (10 papers). Christian Debes is often cited by papers focused on Microwave Imaging and Scattering Analysis (14 papers), Geophysical Methods and Applications (11 papers) and Advanced SAR Imaging Techniques (10 papers). Christian Debes collaborates with scholars based in Germany, United States and Belgium. Christian Debes's co-authors include Abdelhak M. Zoubir, Andreas Merentitis, Nikolaos Frangiadakis, Moeness G. Amin, Roel Heremans, Jürgen Hahn, Sergey Sukhanov, Maria E. Niessen, Alexander Bauer and Michael Leigsnering and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

In The Last Decade

Christian Debes

39 papers receiving 1.4k citations

Hit Papers

Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Debes Germany 15 588 515 354 332 320 40 1.5k
Gongjian Wen China 27 315 0.5× 402 0.8× 433 1.2× 824 2.5× 1.3k 4.0× 114 2.4k
Weidong Hu China 18 166 0.3× 326 0.6× 97 0.3× 319 1.0× 654 2.0× 121 1.4k
Csaba Benedek Hungary 21 113 0.2× 421 0.8× 145 0.4× 661 2.0× 250 0.8× 72 1.4k
Yinghui Quan China 20 275 0.5× 241 0.5× 61 0.2× 151 0.5× 694 2.2× 125 1.3k
Jihao Yin China 18 103 0.2× 690 1.3× 87 0.2× 456 1.4× 203 0.6× 89 1.6k
Gui Gao China 25 138 0.2× 447 0.9× 256 0.7× 616 1.9× 1.7k 5.3× 123 2.3k
Zongxu Pan China 24 106 0.2× 739 1.4× 397 1.1× 978 2.9× 1.2k 3.6× 79 2.2k
Mats I. Pettersson Sweden 23 668 1.1× 308 0.6× 317 0.9× 130 0.4× 1.2k 3.9× 176 1.8k
Zongjie Cao China 24 220 0.4× 348 0.7× 405 1.1× 909 2.7× 1.5k 4.8× 136 2.4k
Xi Yang China 26 211 0.4× 395 0.8× 163 0.5× 1.6k 4.8× 614 1.9× 113 2.3k

Countries citing papers authored by Christian Debes

Since Specialization
Citations

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

Fields of papers citing papers by Christian Debes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Debes

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Debes. A scholar is included among the top collaborators of Christian Debes 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 Christian Debes. Christian Debes 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.
Debes, Christian, et al.. (2025). Using pet insurance claims to predict occurrence of vector-borne and zoonotic disease in humans in the United States. Scientific Reports. 15(1). 14407–14407. 1 indexed citations
2.
Sukhanov, Sergey, et al.. (2019). Dynamic pattern matching with multiple queries on large scale data streams. Signal Processing. 171. 107402–107402. 4 indexed citations
3.
Sukhanov, Sergey, Andreas Merentitis, Christian Debes, Jürgen Hahn, & Abdelhak M. Zoubir. (2018). Combining SVMS for Classification on Class Imbalanced Data. 90–94. 2 indexed citations
4.
Sukhanov, Sergey, Christian Debes, & Abdelhak M. Zoubir. (2018). Interpretable Clustering Ensembles Using Binary Matrix Factorization. 3. 4229–4233. 1 indexed citations
5.
Sukhanov, Sergey, et al.. (2017). Consensus clustering on data fragments. 36. 4631–4635. 1 indexed citations
6.
Debes, Christian, Andreas Merentitis, Sergey Sukhanov, et al.. (2016). Monitoring Activities of Daily Living in Smart Homes: Understanding human behavior. IEEE Signal Processing Magazine. 33(2). 81–94. 210 indexed citations
7.
Merentitis, Andreas & Christian Debes. (2015). Automatic fusion and classification using random forests and features extracted with deep learning. 2943–2946. 12 indexed citations
8.
Merentitis, Andreas, Christian Debes, Roel Heremans, & Nikolaos Frangiadakis. (2014). Automatic fusion and classification of hyperspectral and LiDAR data using random forests. 1245–1248. 18 indexed citations
9.
Merentitis, Andreas, Christian Debes, & Roel Heremans. (2014). Ensemble Learning in Hyperspectral Image Classification: Toward Selecting a Favorable Bias-Variance Tradeoff. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(4). 1089–1102. 47 indexed citations
10.
Hahn, Jürgen, Christian Debes, Michael Leigsnering, & Abdelhak M. Zoubir. (2013). Compressive sensing and adaptive direct sampling in hyperspectral imaging. Digital Signal Processing. 26. 113–126. 52 indexed citations
11.
Debes, Christian, et al.. (2013). Resampling methods for quality assessment of classifier performance and optimal number of features. Signal Processing. 93(11). 2956–2968. 6 indexed citations
12.
Debes, Christian, et al.. (2012). Segmentation by Classification for Through-the-Wall Radar Imaging Using Polarization Signatures. IEEE Transactions on Geoscience and Remote Sensing. 50(9). 3425–3439. 14 indexed citations
13.
Leigsnering, Michael, Christian Debes, & Abdelhak M. Zoubir. (2011). Compressive sensing in through-the-wall radar imaging. 4008–4011. 64 indexed citations
14.
Debes, Christian, Jürgen Hahn, Abdelhak M. Zoubir, & Moeness G. Amin. (2011). Target Discrimination and Classification in Through-the-Wall Radar Imaging. IEEE Transactions on Signal Processing. 59(10). 4664–4676. 29 indexed citations
15.
Debes, Christian, Feng Yin, & Abdelhak M. Zoubir. (2011). Parametric Waveform Design For Improved Target Detection. Zenodo (CERN European Organization for Nuclear Research). 2074–2078. 3 indexed citations
16.
Debes, Christian, Abdelhak M. Zoubir, & Moeness G. Amin. (2011). Enhanced Detection Using Target Polarization Signatures in Through-the-Wall Radar Imaging. IEEE Transactions on Geoscience and Remote Sensing. 50(5). 1968–1979. 38 indexed citations
17.
Debes, Christian, Christian Weiß, Abdelhak M. Zoubir, & Moeness G. Amin. (2010). Distributed target detection in Through-the-Wall Radar Imaging using the bootstrap. 3530–3533. 4 indexed citations
18.
Debes, Christian, et al.. (2010). Adaptive Target Detection With Application to Through-the-Wall Radar Imaging. IEEE Transactions on Signal Processing. 58(11). 5572–5583. 36 indexed citations
19.
Debes, Christian, Moeness G. Amin, & Abdelhak M. Zoubir. (2009). Target Detection in Single- and Multiple-View Through-the-Wall Radar Imaging. IEEE Transactions on Geoscience and Remote Sensing. 47(5). 1349–1361. 86 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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