Marko Tscherepanow

37 total papers · 596 total citations
16 papers, 354 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 354 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), Advanced Fluorescence Microscopy Techniques (4 papers) and Neural Networks and Applications (4 papers). Marko Tscherepanow is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Neural Networks and Applications (4 papers). Marko Tscherepanow collaborates with scholars based in Germany. Marko Tscherepanow's co-authors include Britta Wrede, Steve Wolter, Markus Sauer, Sebastian van de Linde, Mark Schüttpelz, Mike Heilemann, Franz Kümmert, Nickels Jensen, Frank G. Zöllner and Frank Hegel and has published in prestigious journals such as BMC Bioinformatics, Pattern Recognition and Neurocomputing.

In The Last Decade

Marko Tscherepanow

15 papers receiving 343 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marko Tscherepanow 162 126 74 70 48 16 354
J Pulokas 92 0.6× 77 0.6× 84 1.1× 103 1.5× 9 0.2× 9 377
Toufiq Parag 84 0.5× 190 1.5× 39 0.5× 47 0.7× 20 0.4× 21 344
Mojtaba Seyedhosseini 139 0.9× 146 1.2× 58 0.8× 79 1.1× 18 0.4× 15 343
Umesh Adiga 196 1.2× 138 1.1× 85 1.1× 32 0.5× 32 0.7× 8 338
Constantin Pape 144 0.9× 35 0.3× 129 1.7× 113 1.6× 33 0.7× 20 388
Bihe Hu 200 1.2× 24 0.2× 87 1.2× 23 0.3× 78 1.6× 9 336
Lyndsey M. Kirk 61 0.4× 29 0.2× 119 1.6× 12 0.2× 37 0.8× 11 323
Karel C. Strasters 130 0.8× 100 0.8× 121 1.6× 10 0.1× 70 1.5× 15 387
Ev L. Nichols 111 0.7× 83 0.7× 42 0.6× 7 0.1× 63 1.3× 17 350
Chiara Peres 126 0.8× 31 0.2× 93 1.3× 36 0.5× 134 2.8× 21 354

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

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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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