Mario Fleischer

23 papers receiving 309 citations

Peers

Mario Fleischer
Comparison fields: 5 of 71
  • Speech and Hearing 64
  • Sensory Systems 36
  • Signal Processing 65
  • Modeling and Simulation 25
  • Experimental and Cognitive Psychology 67
Replace Michael Doellinger with:
Michael Doellinger Germany
Liran Oren United States
Jean Laroche France
Johannes M. Arend Germany
David H. Slavit United States
Seishi Hibi Japan
January Gnitecki Canada
Søren Laugesen Denmark
Jędrzej Kociński Poland
Harold A. Cheyne United States
Mario Fleischer relative to Michael Doellinger Germany Michael Doellinger's profile →
Citations per field
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Michael Doellinger · 1×
Citations per year

Countries citing papers authored by Mario Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Mario Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 201439
3 202136
4 201528
5 201821
6 202020
7 201619
8 201017
9 202213
10 201312
11 200911
12 202011
13 20229
14 20226
15 20214
16 20113
17 20203
18 20232
19 20212
20 20201

About Mario Fleischer

Mario Fleischer is a scholar working on Artificial Intelligence, Physiology, Pulmonary and Respiratory Medicine, Signal Processing and Cognitive Neuroscience, having authored 24 papers that have together received 313 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Voice and Speech Disorders (7 papers), Infection Control and Ventilation (4 papers), Speech and Audio Processing (4 papers), Phonetics and Phonology Research (4 papers), Noise Effects and Management (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Speech and Hearing (64 citations), Sensory Systems (36 citations), Signal Processing (65 citations), Modeling and Simulation (25 citations) and Experimental and Cognitive Psychology (67 citations). Mario Fleischer has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Dirk Mürbe, Martin Kriegel, A. Hartmann, Peter Birkholz, Ivan Platzek, Anthony W. Gummer, Rolf Schmidt, Johan Sundberg, Johannes Baumgart and Yury M. Yarin. Their work appears in journals such as PLoS ONE, Scientific Reports, Indoor Air, Logopedics Phoniatrics Vocology and Biomechanics and Modeling in Mechanobiology.

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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