Michael Münz

1.2k citations
48 papers · 929 · h-index 18

Impact in

  • Neurology top 5%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

Michael Münz

42 papers receiving 868 citations

Peers

Michael Münz
Comparison fields: 5 of 115
  • Neurology 249
  • Developmental Neuroscience 58
  • Cellular and Molecular Neuroscience 191
  • Orthopedics and Sports Medicine 81
  • Neurology 63
Replace Akimasa Ishida with:
Akimasa Ishida Japan
Kevin C. McGill United States
Roman Gonzenbach Switzerland
Guangzhi Wang China
Johan Davidsson Sweden
Sandip S. Panesar United States
Christopher Kai-Shun Leung Hong Kong
Danyal Z. Khan United Kingdom
Lennart Stieglitz Switzerland
Jun Ogawa Japan
Michael Münz relative to Akimasa Ishida Japan Akimasa Ishida's profile →
Citations per field
00.5×1.5×1.9×
Akimasa Ishida · 1×
Citations per year

Countries citing papers authored by Michael Münz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Münz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199784
2 199761
3 202061
4 199760
5 198353
6 198548
7 200547
8 200042
9 201040
10 199537
11 199936
12 198233
13 199732
14 200227
15 202126
16 201326
17 199022
18 200921
19 199917
20 201416

About Michael Münz

Michael Münz is a scholar working on Artificial Intelligence, Neurology, Biomedical Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 929 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (9 papers), Neurological disorders and treatments (7 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Bone health and osteoporosis research (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Gait Recognition and Analysis (4 papers), Time Series Analysis and Forecasting (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Neurology (249 citations), Developmental Neuroscience (58 citations), Cellular and Molecular Neuroscience (191 citations), Orthopedics and Sports Medicine (81 citations) and Neurology (63 citations). Michael Münz has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include H. Franck, Klaus Dietmayer, Ian R. Griffiths, M Scherrer, Andrés M. Lozano, Ronald R. Tasker, Ethan Taub, Stephan Schlüter, Ian D. Duncan and R.R. Tasker. Their work appears in journals such as Calcified Tissue International, IEEE Transactions on Aerospace and Electronic Systems, Sensors, Stereotactic and Functional Neurosurgery and Neurosurgery.

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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