Thom Blum

970 citations
9 papers · 626 indexed · 1 hit paper · h-index 6

Thom Blum

9 papers receiving 520 citations

Hit Papers

Content-based classification, search, and retrieval of audio5351996202620062016100200300400500

Peers

Thom Blum
Comparison fields: 5 of 55
  • Signal Processing 539
  • Computer Vision and Pattern Recognition 477
  • Developmental Biology 14
  • Music 14
  • Cognitive Neuroscience 65
Replace Douglas Keislar with:
Douglas Keislar United States
Adam Berenzweig United States
Luís Gustavo Martins Portugal
Frederic Font Spain
Barry Vercoe United States
Jordi Bonada Spain
Christopher Harte United Kingdom
Thomas Lidy Austria
Graham E. Poliner United States
Nicolas Wack Spain
Thom Blum relative to Douglas Keislar United States Douglas Keislar's profile →
Citations per field
00.5×1.5×
Douglas Keislar · 1×
Citations per year

Countries citing papers authored by Thom Blum

Since Specialization
Citations

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

Fields of papers citing papers by Thom Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 4 scholars most cited alongside Thom Blum, 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 Thom Blum Line = papers co-authored together Thom Blum links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 19994
2
Audio databases with content-based retrieval
199710
3
Content-based classification, search, and retrieval of audiobreakdown →
1996535
4
Audio Analysis for Content-Based Retrieval
19956
5 199014
6 198917
7 19891
8 198237
9 19812

About Thom Blum

Thom Blum is a scholar working on Music, Signal Processing, Computer Vision and Pattern Recognition, Social Psychology and Electrical and Electronic Engineering, having authored 9 papers that have together received 626 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (5 papers), Music and Audio Processing (4 papers), Video Analysis and Summarization (2 papers), Diverse Musicological Studies (2 papers), Low-power high-performance VLSI design (1 paper), Diverse Music Education Insights (1 paper), VLSI and FPGA Design Techniques (1 paper) and Animal and Plant Science Education (1 paper). The work is most often cited by research in Signal Processing (539 citations), Computer Vision and Pattern Recognition (477 citations), Developmental Biology (14 citations), Music (14 citations) and Cognitive Neuroscience (65 citations). Thom Blum has collaborated with scholars based in United States. Frequent co-authors include Douglas Keislar, Erling Wold, Steve Cunningham and David Keane. Their work appears in journals such as Computer Music Journal, IEEE Multimedia, International Computer Music Conference and The Journal of the Abraham Lincoln Association.

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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