Christian Dittmar

863 citations
61 papers · 496 indexed · h-index 12
Topics
Music and Audio Processing (53 papers)Speech and Audio Processing (33 papers)Music Technology and Sound Studies (33 papers)

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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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
#WorkIndexed 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

About Christian Dittmar

Christian Dittmar is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 496 indexed citations. Recurring topics across this work include Music and Audio Processing (53 papers), Speech and Audio Processing (33 papers) and Music Technology and Sound Studies (33 papers). The work is most often cited by research in Signal Processing (462 citations), Computer Vision and Pattern Recognition (309 citations) and Music (28 citations). Christian Dittmar has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Jakob Abeßer, Christian Uhle, Gerald Schuller, Thomas Sporer, Meinard Müller, Estefanía Cano, Daniel Gärtner, Hanna Lukashevich, Gerhard Widmer and Martin Pfleiderer. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE/ACM Transactions on Audio Speech and Language Processing and EURASIP Journal on Advances in Signal Processing.

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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