Danny Kowerko

814 citations
46 papers · 541 indexed · h-index 14
Topics
Advanced Fluorescence Microscopy Techniques (8 papers)Molecular Junctions and Nanostructures (7 papers)Quantum Dots Synthesis And Properties (6 papers)

In The Last Decade

Danny Kowerko

44 papers receiving 523 citations

Peers

Danny Kowerko
Comparison fields: 5 of 85
  • Materials Chemistry 175
  • Molecular Biology 162
  • Electrical and Electronic Engineering 137
  • Biophysics 81
  • Biomedical Engineering 57
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Citations per field
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Citations per year

Countries citing papers authored by Danny Kowerko

Since Specialization
Citations

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

Fields of papers citing papers by Danny Kowerko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Kowerko

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Kowerko. A scholar is included among the top collaborators of Danny Kowerko 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 Danny Kowerko. Danny Kowerko 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
#WorkIndexed citations
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6
TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets.
6
7
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020.
2
8 22
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Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores.
4
10
Large-Scale Plant Classification using Deep Convolutional Neural Networks.
10
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University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019.
2
12
A Baseline for Large-Scale Bird Species Identification in Field Recordings.
6
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Large-Scale Bird Sound Classification using Convolutional Neural Networks.
45
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20 54

About Danny Kowerko

Danny Kowerko is a scholar working on Biophysics, Developmental Biology and Industrial and Manufacturing Engineering, having authored 46 papers that have together received 541 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (8 papers), Molecular Junctions and Nanostructures (7 papers) and Quantum Dots Synthesis And Properties (6 papers). The work is most often cited by research in Developmental Biology (53 citations), Biophysics (81 citations) and Signal Processing (47 citations). Danny Kowerko has collaborated with scholars based in Germany, Switzerland and Belarus. Frequent co-authors include Christian von Borczyskowski, Richard Börner, Roland K. O. Sigel, Michael Friedrich, Eduard I. Zenkevich, Jörg Schuster, Sebastian König, Stefan Kahl, Maximilian Eibl and Stefan Krause. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics.

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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