Andreas Koschan

3.6k total citations
128 papers, 2.5k citations indexed

About

Andreas Koschan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Andreas Koschan has authored 128 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computer Vision and Pattern Recognition, 41 papers in Aerospace Engineering and 23 papers in Computational Mechanics. Recurrent topics in Andreas Koschan's work include Advanced Vision and Imaging (40 papers), Robotics and Sensor-Based Localization (35 papers) and Advanced Image and Video Retrieval Techniques (24 papers). Andreas Koschan is often cited by papers focused on Advanced Vision and Imaging (40 papers), Robotics and Sensor-Based Localization (35 papers) and Advanced Image and Video Retrieval Techniques (24 papers). Andreas Koschan collaborates with scholars based in United States, France and Germany. Andreas Koschan's co-authors include M.A. Abidi, Mongi A. Abidi, David Page, Besma Abidi, Joonki Paik, Reinhard Klette, Karsten Schlüns, Sreenivas R. Sukumar, Yi Yao and Yong Sun and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Express and International Journal of Computer Vision.

In The Last Decade

Andreas Koschan

122 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Koschan United States	27	1.7k	516	455	407	317	128	2.5k
M.A. Abidi United States	26	1.6k 0.9×	516 1.0×	450 1.0×	308 0.8×	219 0.7×	101	2.3k
Kari Pulli United States	30	2.7k 1.6×	901 1.7×	514 1.1×	389 1.0×	349 1.1×	95	3.7k
Chunxia Xiao China	27	2.0k 1.1×	300 0.6×	397 0.9×	400 1.0×	386 1.2×	149	2.6k
Ko Nishino Japan	31	2.7k 1.6×	356 0.7×	456 1.0×	283 0.7×	592 1.9×	112	3.4k
Jinwei Gu United States	29	2.2k 1.3×	450 0.9×	513 1.1×	301 0.7×	278 0.9×	66	2.9k
Kenichi Kanatani Japan	33	2.7k 1.6×	1.2k 2.2×	403 0.9×	428 1.1×	172 0.5×	189	3.6k
Sven Dickinson Canada	30	3.4k 2.0×	689 1.3×	418 0.9×	783 1.9×	303 1.0×	103	4.2k
Kristin Dana United States	30	2.8k 1.7×	259 0.5×	452 1.0×	555 1.4×	846 2.7×	76	4.5k
Mongi A. Abidi United States	25	1.7k 1.0×	591 1.1×	501 1.1×	152 0.4×	90 0.3×	172	2.5k
Yung‐Yu Chuang Taiwan	32	4.2k 2.5×	359 0.7×	774 1.7×	325 0.8×	590 1.9×	103	4.7k

Countries citing papers authored by Andreas Koschan

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Koschan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Koschan

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

All Works

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20 of 20 papers shown

Foufou, Sebti, et al.. (2014). A kernelized sparsity-based approach for best spectral bands selection for face recognition. Multimedia Tools and Applications. 74(19). 8631–8654. 2 indexed citations

Foufou, Sebti, et al.. (2013). Studies on the Effectiveness of Multispectral Images for Face Recognition: Comparative Studies and New Approaches. 2009. 58–64. 3 indexed citations

Kim, Sung Yeol, et al.. (2011). Depth data calibration and enhancement of time-of-flight video-plus-depth camera. 126–129. 2 indexed citations

Huq, Shafik, Andreas Koschan, Besma Abidi, & Mongi A. Abidi. (2008). Efficient BP stereo with automatic paramemeter estimation. 301–304. 3 indexed citations

Sukumar, Sreenivas R., David Page, Andreas Koschan, & Mongi A. Abidi. (2008). Towards understanding what makes 3D objects appear simple or complex. 1–8. 14 indexed citations

Koschan, Andreas, Marc Pollefeys, & Mongi A. Abidi. (2007). 3D Imaging for Safety and Security (Computational Imaging and Vision). Springer eBooks. 3 indexed citations

Yao, Yi, et al.. (2007). Video-based multi-camera automated surveillance of high value assets in nuclear facilities. Transactions of the American Nuclear Society. 97. 783–783. 2 indexed citations

Huq, Shafik, et al.. (2007). Nano-scale 3D metrology for surface characterization and inspection of high-precision manufactured components. Transactions of the American Nuclear Society. 97. 779–781.

Koschan, Andreas & Mongi A. Abidi. (2007). Digital Color Image Processing. Medical Entomology and Zoology. 73 indexed citations

10.

Koschan, Andreas, et al.. (2007). Enhancing Depth of Field in LCSEM Scenes by Sharpness Map Partitioning. Microscopy and Microanalysis. 13(S02). 1 indexed citations

11.

Chen, Chung‐Hao, Cheng Chang, David Page, Andreas Koschan, & Mongi A. Abidi. (2006). Tracking a moving object with real-time obstacle avoidance. Industrial Robot the international journal of robotics research and application. 33(6). 460–468. 8 indexed citations

12.

Koschan, Andreas, et al.. (2006). Fusion of Visible and Infrared Images using Empirical Mode Decomposition to Improve Face Recognition. 2049–2052. 38 indexed citations

13.

Chang, Hong, et al.. (2006). Multispectral Fusion for Indoor and Outdoor Face Authentication. 1–6. 3 indexed citations

14.

Koschan, Andreas & M.A. Abidi. (2005). Detection and classification of edges in color images. IEEE Signal Processing Magazine. 22(1). 64–73. 137 indexed citations

15.

Koschan, Andreas, et al.. (2004). Gaussian energy functions for registration without correspondences. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 24–27 Vol.3. 3 indexed citations

16.

Zhang, Yan, Andreas Koschan, & Mongi A. Abidi. (2003). Superquadrics-based 3D object representation of automotive parts utilizing part decomposition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5132. 241–241. 7 indexed citations

17.

Roy, Michael J., et al.. (2002). <title>Assessment of mesh simplification algorithm quality</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4661. 128–137. 4 indexed citations

18.

Schlüns, Karsten, Winfried A. Fellenz, Andreas Koschan, & M. Teschner. (1997). A Modular 10-DOF Vision System for High-Resolution Active Stereo. ResearchSpace (University of Auckland). 1 indexed citations

19.

Koschan, Andreas. (1997). Segmentation of Color Images for the Minimization of Interreflections. 1 indexed citations

20.

Klette, Reinhard, et al.. (1995). Evaluation of Surface Reconstruction Methods. 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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