Michael Pitz

775 citations
21 papers · 562 · h-index 12

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

21 papers receiving 489 citations

Peers

Michael Pitz
Comparison fields: 5 of 74
  • Signal Processing 377
  • Artificial Intelligence 375
  • Computer Vision and Pattern Recognition 82
  • Experimental and Cognitive Psychology 47
  • Developmental Biology 6
Replace Chunlei Zhang with:
Chunlei Zhang United States
David Dean Australia
Huy Dat Tran Singapore
Alireza A. Dibazar United States
Margarita Kotti Greece
Sanjay Sharma India
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Hao Meng China
Nobukatsu Hojo Japan
Nicolás Sáenz-Lechón Spain
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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

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002184
2 2005127
3 200538
4 200131
5 200328
6 200225
7 200024
8 202322
9
Natural and Intuitive Multimodal Dialogue for In-Car Applications: The Sammie System
200616
10 199914
11 202314
12 200011
13 20076
14 20235
15 20234
16 20254
17 19993
18 20242
19 20242
20 20241

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 21 papers that have together received 562 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 (377 citations), Artificial Intelligence (375 citations), Computer Vision and Pattern Recognition (82 citations), Experimental and Cognitive Psychology (47 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, Dietrich Klakow, Andreas Wendemuth, Reinhold Haeb‐Umbach, Xavier Aubert and Olaf Kolditz. Their work appears in journals such as Rock Mechanics and Rock Engineering, Environmental Earth Sciences, IEEE Transactions on Speech and Audio Processing, International Journal of Rock Mechanics and Mining Sciences and Speech Communication.

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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