Rachel Bittner

1.7k total citations
30 papers, 717 citations indexed

About

Rachel Bittner is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Rachel Bittner has authored 30 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Signal Processing, 18 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Rachel Bittner's work include Music and Audio Processing (23 papers), Music Technology and Sound Studies (16 papers) and Speech and Audio Processing (12 papers). Rachel Bittner is often cited by papers focused on Music and Audio Processing (23 papers), Music Technology and Sound Studies (16 papers) and Speech and Audio Processing (12 papers). Rachel Bittner collaborates with scholars based in United States, United Kingdom and France. Rachel Bittner's co-authors include Juan Pablo Bello, Justin Salamon, Eric J. Humphrey, Andreas Jansson, Aparna Kumar, Tillman Weyde, Nicola Montecchio, Chris Cannam, Matthias Mauch and Brian McFee and has published in prestigious journals such as IEEE Signal Processing Magazine, Journal of the Audio Engineering Society and Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie.

In The Last Decade

Rachel Bittner

28 papers receiving 637 citations

Peers

Rachel Bittner
Comparison fields: 5 of 59
  • Signal Processing 645
  • Computer Vision and Pattern Recognition 362
  • Artificial Intelligence 196
  • Cognitive Neuroscience 124
  • Music 51
Replace Sebastian Ewert with:
Sebastian Ewert Germany
Jordi Pons Spain
Chris Cannam United Kingdom
Peter Grosche Germany
Jordi Bonada Spain
Chris Duxbury United Kingdom
Jouni Paulus Germany
Fabian-Robert Stöter Germany
Christian Dittmar Germany
Christopher Harte United Kingdom
Sebastian Ewert Germany View profile →
Citations per field, relative to Rachel Bittner
Rachel Bittner · 1×
Citations per year, relative to Rachel Bittner
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Countries citing papers authored by Rachel Bittner

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Bittner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Bittner

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Bittner. A scholar is included among the top collaborators of Rachel Bittner 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 Rachel Bittner. Rachel Bittner 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 14
3 27
4 23
5 3
6 80
7 4
8 14
9 12
10 191
11
MedleyDB 2.0: New Data and a System for Sustainable Data Collection
6
12
PySOX: Leveraging the Audio Signal Processing Power of SOX in Python
12
13
Improving and Adapting Finite State Transducer Methods for Musical Accompaniment
2
14 65
15 7
16 2
17 146
18 1
19
MedleyDB: A multitrack dataset for annotation-intensive MIR research. 15th International Society for Music Information Retrieval Conference, ISMIR 2014
1
20 0

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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