Christian Dittmar

863 total citations
61 papers, 496 citations indexed

About

Christian Dittmar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Christian Dittmar has authored 61 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Signal Processing, 38 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in Christian Dittmar's work include Music and Audio Processing (53 papers), Speech and Audio Processing (33 papers) and Music Technology and Sound Studies (33 papers). Christian Dittmar is often cited by papers focused on Music and Audio Processing (53 papers), Speech and Audio Processing (33 papers) and Music Technology and Sound Studies (33 papers). Christian Dittmar collaborates with scholars based in Germany, Austria and United Kingdom. Christian Dittmar's co-authors include Jakob Abeßer, Christian Uhle, Gerald Schuller, Thomas Sporer, Meinard Müller, Estefanía Cano, Daniel Gärtner, Hanna Lukashevich, Gerhard Widmer and Martin Pfleiderer and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE/ACM Transactions on Audio Speech and Language Processing and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

Christian Dittmar

59 papers receiving 448 citations

Peers

Christian Dittmar
Comparison fields: 5 of 44
  • Signal Processing 462
  • Computer Vision and Pattern Recognition 309
  • Artificial Intelligence 91
  • Cognitive Neuroscience 60
  • Computational Mechanics 35
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Citations per field, relative to Christian Dittmar
Christian Dittmar · 1×
Citations per year, relative to Christian Dittmar
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Countries citing papers authored by Christian Dittmar

Since Specialization
Citations

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

Fields of papers citing papers by Christian Dittmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Dittmar

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Dittmar. A scholar is included among the top collaborators of Christian Dittmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Dittmar. Christian Dittmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 3
4 1
5 26
6 3
7 5
8
Efficient Cross-Codec Framing Grid Analysis for Audio Tampering Detection
9
9
Combining ENF phase discontinuity checking and temporal pattern matching for audio tampering detection
3
10
Blind Microphone Analysis and Stable Tone Phase Analysis for Audio Tampering Detection
9
11
Estimating MP3PRO encoder parameters from decoded audio
2
12
Audio forensics meets Music Information Retrieval — A toolbox for inspection of music plagiarism
7
13
Automatic Detection of Audio Effects in Guitar and Bass Recordings
11
14 10
15
Improving Rhythmic Pattern Features Based on Logarithmic Preprocessing
8
16 9
17 4
18 8
19
EFFECTIVE SINGING VOICE DETECTION IN POPULAR MUSIC USING ARMA FILTERING
14
20
EXTRACTION OF DRUM TRACKS FROM POLYPHONIC MUSIC USING INDEPENDENT SUBSPACE ANALYSIS
71

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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2026