Michael Pitz

775 citations
19 papers · 500 · h-index 11

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems

Papers in

Michael Pitz

19 papers receiving 433 citations

Peers

Michael Pitz
Comparison fields: 5 of 69
  • Signal Processing 342
  • Artificial Intelligence 341
  • Experimental and Cognitive Psychology 44
  • Computer Vision and Pattern Recognition 70
  • Developmental Biology 6
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Citations per field
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Citations per year

Countries citing papers authored by Michael Pitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2002165
2 2005121
3 200534
4 200129
5 200324
6 200023
7 200221
8 202320
9
Natural and Intuitive Multimodal Dialogue for In-Car Applications: The Sammie System
200615
10 202314
11 199913
12 20235
13 20234
14 20254
15 20242
16 20242
17 19992
18 20241
19 20231

About Michael Pitz

Michael Pitz is a scholar working on Artificial Intelligence, Signal Processing, Environmental Engineering, Civil and Structural Engineering and Mechanics of Materials, having authored 19 papers that have together received 500 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Groundwater flow and contamination studies (6 papers), Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers), CO2 Sequestration and Geologic Interactions (4 papers), Natural Language Processing Techniques (4 papers), Soil and Unsaturated Flow (3 papers) and Hydraulic Fracturing and Reservoir Analysis (3 papers). The work is most often cited by research in Signal Processing (342 citations), Artificial Intelligence (341 citations), Experimental and Cognitive Psychology (44 citations), Computer Vision and Pattern Recognition (70 citations) and Developmental Biology (6 citations). Michael Pitz has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Hermann Ney, Sirko Molau, Ralf Schlüter, Frank Wessel, Thomas Nagel, Xavier Aubert, Dietrich Klakow, Andreas Wendemuth, Reinhold Haeb‐Umbach and Peter Beyerlein. Their work appears in journals such as Environmental Earth Sciences, Rock Mechanics and Rock Engineering, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, IEEE Transactions on Speech and Audio Processing and Geomechanics for Energy and the Environment.

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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