Michael Liebling

2.9k citations
72 papers · 2.1k · h-index 22

Impact in

Papers in

    • Advanced Fluorescence Microscopy Techniques 28
    • Cell Image Analysis Techniques 13
    • Congenital heart defects research 15

Michael Liebling

67 papers receiving 2.1k citations

Peers

Michael Liebling
Comparison fields: 5 of 111
  • Biophysics 414
  • Structural Biology 51
  • Media Technology 298
  • Cell Biology 466
  • Computer Vision and Pattern Recognition 320
Replace Bruce Z. Gao with:
Bruce Z. Gao United States
Ihor Smal Netherlands
H. T. M. van der Voort Netherlands
Florian Jug Germany
Oleh Dzyubachyk Netherlands
Shalin B. Mehta United States
Richard Baldock United Kingdom
Hideo Yokota Japan
Vannary Meas‐Yedid France
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Citations per field
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Bruce Z. Gao · 1×
Citations per year

Countries citing papers authored by Michael Liebling

Since Specialization
Citations

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

Fields of papers citing papers by Michael Liebling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Liebling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Liebling Line = papers co-authored together Michael Liebling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009251
2 2006206
3 2014165
4 2004143
5 2003130
6 2004126
7 2005118
8 2014111
9 2006106
10 201078
11 200860
12 201047
13 201344
14 200242
15 201237
16 200936
17 201534
18 199634
19 200232
20 201528

About Michael Liebling

Michael Liebling is a scholar working on Biophysics, Molecular Biology, Computer Vision and Pattern Recognition, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (28 papers), Digital Holography and Microscopy (17 papers), Congenital heart defects research (15 papers), Cell Image Analysis Techniques (13 papers), Image Processing Techniques and Applications (12 papers), Optical Coherence Tomography Applications (12 papers), Advanced Image Processing Techniques (10 papers) and Image and Signal Denoising Methods (8 papers). The work is most often cited by research in Biophysics (414 citations), Structural Biology (51 citations), Media Technology (298 citations), Cell Biology (466 citations) and Computer Vision and Pattern Recognition (320 citations). Michael Liebling has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Michaël Unser, Scott E. Fraser, Morteza Gharib, Arian S. Forouhar, Julien Vermot, Thierry Blu, Mary E. Dickinson, Thierry Blu, David Wu and Mary E. Dickinson. Their work appears in journals such as Biomedical Optics Express, Journal of the Optical Society of America A, IEEE Transactions on Computational Imaging, Development and Developmental Dynamics.

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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