Michael Leitner

88 papers receiving 1.3k citations

Peers

Michael Leitner
Comparison fields: 5 of 144
  • Ecological Modeling 146
  • Structural Biology 25
  • Biophysics 95
  • Nature and Landscape Conservation 154
  • Analytical Chemistry 97
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R. Mertens Belgium
David Armitage United States
D.K. Schroder United States
Xiaohu Liu China
R. Mason United Kingdom
Zhihong Li China
Shuyan Zhang China
Satoshi Nakayama Japan
James F. Smith United States
Dalip Singh Mehta India
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Citations per field
00.5×10×12.5×
R. Mertens · 1×
Citations per year

Countries citing papers authored by Michael Leitner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Leitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Leitner, 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 Leitner Line = papers co-authored together Michael Leitner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200985
2 200980
3 200967
4 201166
5 201361
6 201359
7 201448
8 201445
9 201541
10 201638
11 201438
12 201232
13 201332
14 201531
15 201131
16 201731
17 201726
18 201025
19 201923
20 200822

About Michael Leitner

Michael Leitner is a scholar working on Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Mechanics of Materials and Human-Computer Interaction, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (18 papers), Photoacoustic and Ultrasonic Imaging (11 papers), Muon and positron interactions and applications (9 papers), Innovative Human-Technology Interaction (8 papers), Ecology and Vegetation Dynamics Studies (6 papers), Species Distribution and Climate Change (6 papers), High-pressure geophysics and materials (6 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Ecological Modeling (146 citations), Structural Biology (25 citations), Biophysics (95 citations), Nature and Landscape Conservation (154 citations) and Analytical Chemistry (97 citations). Michael Leitner has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include G. Vogl, Günther Hannesschläger, Johannes Khinast, Manfred Tscheligi, Stefan Dullinger, B. Sepioł, Franz Essl, Daniel Markl, Stephan Sacher and Johann Schrammel. Their work appears in journals such as Physical review. B., Physical Review B, Microscopy and Microanalysis, New Journal of Physics and Optics and Lasers in Engineering.

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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