Marko Tscherepanow

596 total citations
16 papers, 355 citations indexed

About

Marko Tscherepanow is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Marko Tscherepanow has authored 16 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Biophysics. Recurrent topics in Marko Tscherepanow's work include Cell Image Analysis Techniques (5 papers), Neural Networks and Applications (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Marko Tscherepanow is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Neural Networks and Applications (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Marko Tscherepanow collaborates with scholars based in Germany. Marko Tscherepanow's co-authors include Britta Wrede, Steve Wolter, Mark Schüttpelz, Sebastian van de Linde, Markus Sauer, Mike Heilemann, Franz Kümmert, Nickels Jensen, Frank G. Zöllner and Dimitri Volchenkov and has published in prestigious journals such as BMC Bioinformatics, Pattern Recognition and Neurocomputing.

In The Last Decade

Marko Tscherepanow

15 papers receiving 344 citations

Peers

Marko Tscherepanow
Mark Richardson United States
Umesh Adiga United States
Larry Lindsey United States
Toufiq Parag United States
Larissa Heinrich United States
Zhi Zhou United States
Valentin Zhigulin United States
Art Pope United States
Yina Wang China
Mark Richardson United States
Marko Tscherepanow
Citations per year, relative to Marko Tscherepanow Marko Tscherepanow (= 1×) peers Mark Richardson

Countries citing papers authored by Marko Tscherepanow

Since Specialization
Citations

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

Fields of papers citing papers by Marko Tscherepanow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Tscherepanow

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

All Works

16 of 16 papers shown
1.
Volchenkov, Dimitri, et al.. (2013). Exploration–exploitation trade-off features a saltatory search behaviour. Journal of The Royal Society Interface. 10(85). 20130352–20130352. 6 indexed citations
2.
Tscherepanow, Marko. (2012). Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories.. PUB – Publications at Bielefeld University (Bielefeld University). 22–34. 2 indexed citations
3.
Tscherepanow, Marko, et al.. (2012). Episodic Clustering of Data Streams Using a Topology-Learning Neural Network. PUB – Publications at Bielefeld University (Bielefeld University). 5 indexed citations
4.
Tscherepanow, Marko, et al.. (2012). ART-based fusion of multi-modal perception for robots. Neurocomputing. 107. 11–22. 5 indexed citations
6.
Tscherepanow, Marko, et al.. (2012). A saliency map based on sampling an image into random rectangular regions of interest. Pattern Recognition. 45(9). 3114–3124. 90 indexed citations
7.
Tscherepanow, Marko, et al.. (2012). An Incremental On-line Classifier for Imbalanced, Incomplete, and Noisy Data. PUB – Publications at Bielefeld University (Bielefeld University). 23. 1 indexed citations
8.
Tscherepanow, Marko, et al.. (2011). A hierarchical ART network for the stable incremental learning of topological structures and associations from noisy data. Neural Networks. 24(8). 906–16. 17 indexed citations
9.
Tscherepanow, Marko, et al.. (2011). Impact of Real-time Visual Attention on Computer Vision Products and Cognitive Robotics. Procedia Computer Science. 7. 332–333. 2 indexed citations
10.
Tscherepanow, Marko, et al.. (2011). A random center surround bottom up visual attention model useful for salient region detection. 19. 166–173. 8 indexed citations
11.
Wolter, Steve, Mark Schüttpelz, Marko Tscherepanow, et al.. (2009). Real‐time computation of subdiffraction‐resolution fluorescence images. Journal of Microscopy. 237(1). 12–22. 179 indexed citations
12.
Tscherepanow, Marko, et al.. (2009). Direct imitation of human facial expressions by a user-interface robot. 154–160. 10 indexed citations
13.
Tscherepanow, Marko. (2008). Image Analysis Methods for Location Proteomics. PUB – Publications at Bielefeld University (Bielefeld University).
14.
Tscherepanow, Marko, Nickels Jensen, & Franz Kümmert. (2008). An incremental approach to automated protein localisation. BMC Bioinformatics. 9(1). 445–445. 9 indexed citations
15.
Tscherepanow, Marko, Nickels Jensen, & Franz Kümmert. (2007). Recognition of Unstained Live Drosophila Cells in Microscope Images. 4550. 169–176. 4 indexed citations
16.
Tscherepanow, Marko, Frank G. Zöllner, & Franz Kümmert. (2006). Classification of Segmented Regions in Brightfield Microscope Images. 2. 972–975. 12 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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