Michael Doellinger

234 papers receiving 4.5k citations

Peers

Michael Doellinger
Comparison fields: 5 of 143
  • Physiology 3.3k
  • Developmental Biology 35
  • Experimental and Cognitive Psychology 265
  • Computer Vision and Pattern Recognition 333
  • Statistics, Probability and Uncertainty 108
Replace Jan G. Švec with:
Jan G. Švec Czechia
Juan Ignacio Godino-Llorente Spain
Jack J. Jiang United States
Ulrich Eysholdt Germany
Krishna S. Nayak United States
Theodore A. Wilson United States
Declan P. O’Regan United Kingdom
Isaac N. Bankman United States
Joachim A. Behar Israel
Akimasa Hirata Japan
Michael Doellinger relative to Jan G. Švec Czechia Jan G. Švec's profile →
Citations per field
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Jan G. Švec · 1×
Citations per year

Countries citing papers authored by Michael Doellinger

Since Specialization
Citations

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

Fields of papers citing papers by Michael Doellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008145
2 2007144
3 2015117
4 200291
5 201089
6 200582
7 200278
8 200572
9 196671
10 202171
11 201270
12 200964
13 200958
14 201156
15 200655
16 201053
17 200550
18 201450
19 200949
20 201347

About Michael Doellinger

Michael Doellinger is a scholar working on Physiology, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 248 papers that have together received 4.6k indexed citations. Recurring topics across this work include Voice and Speech Disorders (178 papers), Phonetics and Phonology Research (15 papers), Infection Control and Ventilation (12 papers), Medical Image Segmentation Techniques (9 papers), Aerodynamics and Acoustics in Jet Flows (7 papers), Advanced Numerical Methods in Computational Mathematics (7 papers), Meta-analysis and systematic reviews (5 papers) and Optical measurement and interference techniques (5 papers). The work is most often cited by research in Physiology (3.3k citations), Developmental Biology (35 citations), Experimental and Cognitive Psychology (265 citations), Computer Vision and Pattern Recognition (333 citations) and Statistics, Probability and Uncertainty (108 citations). Michael Doellinger has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jörg Lohscheller, Ulrich Eysholdt, David A. Berry, Stefan Kniesburges, Elena Kulinskaya, Christopher Bohr, Anne Schützenberger, Ulrich Hoppe, Rita R. Patel and Manfred Kaltenbacher. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Voice, The Laryngoscope, PLoS ONE and Applied Sciences.

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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