M. Lang

2.1k citations
44 papers · 1.7k · h-index 17

Impact in

Papers in

M. Lang

43 papers receiving 1.5k citations

Peers

M. Lang
Comparison fields: 5 of 76
  • Experimental and Cognitive Psychology 1.0k
  • Signal Processing 843
  • Pharmacy 117
  • Computer Vision and Pattern Recognition 521
  • Human-Computer Interaction 130
Replace Andreas Wendemuth with:
Andreas Wendemuth Germany
Serdar Yıldırım Türkiye
Athanasios Katsamanis Greece
Loïc Kessous France
Panagiotis Tzirakis United Kingdom
Engin Erzin Türkiye
Stavros Petridis United Kingdom
Juan Manuel Montero Spain
Inma Hernáez Spain
Say Wei Foo Singapore
M. Lang relative to Andreas Wendemuth Germany Andreas Wendemuth's profile →
Citations per field
00.5×1.5×
Andreas Wendemuth · 1×
Citations per year

Countries citing papers authored by M. Lang

Since Specialization
Citations

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

Fields of papers citing papers by M. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003475
2 2004350
3 2003228
4 2005126
5 200651
6 200339
7 198837
8 200236
9 200334
10 199931
11 200229
12 200226
13
Recognition of Spontaneous Emotions by Speech within Automotive Environment
200624
14 200218
15 199918
16 200917
17 200216
18
Robust Acoustic Speech Emotion Recognition by Ensembles of Classifiers
200514
19 199913
20 200512

About M. Lang

M. Lang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Music and Audio Processing (11 papers), Emotion and Mood Recognition (10 papers), Speech Recognition and Synthesis (6 papers), Handwritten Text Recognition Techniques (5 papers), Natural Language Processing Techniques (5 papers), Hand Gesture Recognition Systems (5 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.0k citations), Signal Processing (843 citations), Pharmacy (117 citations), Computer Vision and Pattern Recognition (521 citations) and Human-Computer Interaction (130 citations). M. Lang has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gerhard Rigoll, Björn W. Schuller, Hanspeter Winkler, S.A. Reiter, Ronald Müller, Gerhard Sagerer, H. Niemann, M. Geiger, Rudolf Sollacher and Henning Lenz. Their work appears in journals such as Electronics Letters, Acta Astronautica, Communications in computer and information science, OPUS (Augsburg University) and PubMed.

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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