Beth Logan

2.2k citations
27 papers · 1.7k · 1 hit paper · h-index 16

Impact in

Papers in

Beth Logan

26 papers receiving 1.5k citations

Beth Logan's Hit Papers

Mel Frequency Cepstral Coefficients For Music Modeling. 2000 · 716 citations
7160+8+17Years since publication200400600

Peers

Beth Logan
Comparison fields: 5 of 107
  • Signal Processing 1.2k
  • Computer Vision and Pattern Recognition 1.0k
  • Music 69
  • Artificial Intelligence 482
  • Developmental Biology 24
Replace Kazuyoshi Yoshii with:
Kazuyoshi Yoshii Japan
György Fazekas United Kingdom
Antti Eronen Finland
Kyogu Lee South Korea
Patrick Cook United States
Dan Ellis United States
Hyoung‐Gook Kim South Korea
Alexander Lerch United States
Lie Lu China
Ichiro Fujinaga Canada
Beth Logan relative to Kazuyoshi Yoshii Japan Kazuyoshi Yoshii's profile →
Citations per field
00.5×1.5×
Kazuyoshi Yoshii · 1×
Citations per year

Countries citing papers authored by Beth Logan

Since Specialization
Citations

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

Fields of papers citing papers by Beth Logan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mel Frequency Cepstral Coefficients For Music Modeling.
Hit paper breakdown →
2000716
2 2004215
3 2007193
4 200289
5 200489
6 200360
7 200545
8 200042
9 200229
10
SpeechBot: a speech recognition based audio indexing system for the web
200028
11 200127
12 200326
13
A Content-Based Music Similarity Function
200123
14 200618
15 200216
16 200115
17
MUSIC SUMMARY USING KEY PHRASES
200013
18
A Study of Remote Homology Detection
200113
19
Factorial Hidden Markov Models for Speech Recognition: Preliminary Experiments
199712
20 20099

About Beth Logan

Beth Logan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Music and Audio Processing (17 papers), Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (12 papers), Music Technology and Sound Studies (6 papers), Context-Aware Activity Recognition Systems (4 papers), Video Analysis and Summarization (4 papers), Advanced Data Compression Techniques (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Signal Processing (1.2k citations), Computer Vision and Pattern Recognition (1.0k citations), Music (69 citations), Artificial Intelligence (482 citations) and Developmental Biology (24 citations). Beth Logan has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Daniel P. W. Ellis, Adam Berenzweig, Brian Whitman, Jennifer Healey, Stephen Intille, Pedro J. Moreno, Emmanuel Munguia Tapia, Matthai Philipose, Ariel Salomon and E. W. D. Whittaker. Their work appears in journals such as Speech Communication, Computer Music Journal, Lecture notes in computer science, Columbia Academic Commons (Columbia University) and Zenodo (CERN European Organization for Nuclear Research).

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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