Michael Pitz

23 papers receiving 511 citations

Peers

Michael Pitz
Comparison fields: 5 of 56
  • Artificial Intelligence 357
  • Signal Processing 76
  • Environmental Engineering 41
  • Safety, Risk, Reliability and Quality 31
  • Experimental and Cognitive Psychology 47
Replace Abdulbasit K. Al‐Talabani with:
Abdulbasit K. Al‐Talabani Iraq
Huihui He China
Heming Du Australia
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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

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002188
2 2005129
3 200538
4 200132
5 200328
6 200225
7 202325
8 200024
9
Natural and Intuitive Multimodal Dialogue for In-Car Applications: The Sammie System
200617
10 202316
11 199912
12 200011
13 20076
14 20235
15 20235
16 20245
17 19994
18 20254
19
Automatic Transcription Verification Of Broadcast News And Similar Speech Corpora
19993
20 20212

About Michael Pitz

Michael Pitz is a scholar working on Environmental Engineering, Artificial Intelligence, Safety, Risk, Reliability and Quality, Mechanics of Materials and Civil and Structural Engineering, having authored 23 papers that have together received 583 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Groundwater flow and contamination studies (8 papers), Rock Mechanics and Modeling (6 papers), Nuclear and radioactivity studies (4 papers), Soil and Unsaturated Flow (4 papers), Speech and Audio Processing (1 paper), Soil, Finite Element Methods (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (357 citations), Signal Processing (76 citations), Environmental Engineering (41 citations), Safety, Risk, Reliability and Quality (31 citations) and Experimental and Cognitive Psychology (47 citations). Michael Pitz has collaborated with scholars based in Germany, Belgium and China. Frequent co-authors include Hermann Ney, Ralf Schlüter, Frank Wessel, Thomas Nagel, Reinhold Haeb‐Umbach, Dietrich Klakow, Xavier L. Aubert, Jobst Maßmann, Wenqing Wang and Andreas Wendemuth. Their work appears in journals such as Rock Mechanics and Rock Engineering, Environmental Earth Sciences, Geomechanics for Energy and the Environment, Geomechanics and Geophysics for Geo-Energy and Geo-Resources and International Journal of Rock Mechanics and Mining 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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