Michael Liebling

2.9k citations
71 papers · 2.1k indexed · h-index 22

Impact in

Papers in

Michael Liebling

64 papers receiving 2.0k citations

Peers

Michael Liebling
Comparison fields: 5 of 113
  • Biophysics 417
  • Structural Biology 51
  • Media Technology 293
  • Cell Biology 482
  • Computer Vision and Pattern Recognition 317
Replace Bruce Z. Gao with:
Bruce Z. Gao United States
Ihor Smal Netherlands
Richard Baldock United Kingdom
Oleh Dzyubachyk Netherlands
H. T. M. van der Voort Netherlands
Florian Jug Germany
Shalin B. Mehta United States
Hideo Yokota Japan
Vannary Meas‐Yedid France
Robert Fischer United States
Michael Liebling relative to Bruce Z. Gao United States Bruce Z. Gao's profile →
Citations per field
00.5×4.4×
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-authorship network

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
#Work
1 20230
2 20231
3 20230
4 20231
5 20194
6 20175
7 201616
8 2014164
9 201237
10 201111
11 20118
12 200917
13 200927
14 2005117
15 2004143
16 2004122
17 2003127
18 200232
19 200242
20 199634

About Michael Liebling

Michael Liebling is a scholar working on Biophysics, Structural Biology, Media Technology, Instrumentation and Computer Vision and Pattern Recognition, having authored 71 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), Optical Coherence Tomography Applications (12 papers), Image Processing Techniques and 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 (417 citations), Structural Biology (51 citations), Media Technology (293 citations), Cell Biology (482 citations) and Computer Vision and Pattern Recognition (317 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 Image Processing, Cell Reports and IEEE Transactions on Medical Imaging.

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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