M. Sandler

21.7k citations
708 papers · 14.4k · 1 hit paper · h-index 57

Impact in

Papers in

M. Sandler

662 papers receiving 12.6k citations

M. Sandler's Hit Papers

A tutorial on onset detection in music signals 2005 · 452 citations
4520+7+14Years since publication100200300400

Peers

M. Sandler
Comparison fields: 5 of 210
  • Signal Processing 3.5k
  • Biological Psychiatry 667
  • Cellular and Molecular Neuroscience 2.6k
  • Computer Vision and Pattern Recognition 3.0k
  • Neurology 1.9k
Replace Vince D. Calhoun with:
Vince D. Calhoun United States
Godfrey D. Pearlson United States
Christian E. Elger Germany
Klaas Ε. Stephan United Kingdom
James V. Haxby United States
John Suckling United Kingdom
Tianzi Jiang China
Yong He China
Jia Liu China
Mark Weiser Israel
M. Sandler relative to Vince D. Calhoun United States Vince D. Calhoun's profile →
Citations per field
00.5×3.2×
Vince D. Calhoun · 1×
Citations per year

Countries citing papers authored by M. Sandler

Since Specialization
Citations

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

Fields of papers citing papers by M. Sandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 708 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A tutorial on onset detection in music signals
Hit paper breakdown →
2005452
2 1973292
3 2017284
4 1968274
5 1977243
6 1978223
7 1992196
8 2006184
9 1970182
10 1978180
11 1974171
12 2010162
13 1970157
14 1968155
15 2007152
16 1969145
17 1969119
18 1957113
19 1972105
20 2008105

About M. Sandler

M. Sandler is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Molecular Biology, Neurology and Biomedical Engineering, having authored 708 papers that have together received 14.4k indexed citations. Recurring topics across this work include Music and Audio Processing (191 papers), Music Technology and Sound Studies (152 papers), Speech and Audio Processing (116 papers), Analog and Mixed-Signal Circuit Design (43 papers), Neurotransmitter Receptor Influence on Behavior (42 papers), Parkinson's Disease Mechanisms and Treatments (37 papers), Digital Filter Design and Implementation (29 papers) and Image and Object Detection Techniques (29 papers). The work is most often cited by research in Signal Processing (3.5k citations), Biological Psychiatry (667 citations), Cellular and Molecular Neuroscience (2.6k citations), Computer Vision and Pattern Recognition (3.0k citations) and Neurology (1.9k citations). M. Sandler has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Vivette Glover, C.R.J. Ruthven, Moussa B. H. Youdim, Juan Pablo Bello, G.G.S. Collins, György Fazekas, E. D. Williams, C. M. B. Pare, M. Lévy and Mike E. Davies. Their work appears in journals such as Journal of the Audio Engineering Society, Clinica Chimica Acta, The Lancet, Biochemical Pharmacology and Nature.

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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