Michael Mandel

3.6k citations
80 papers · 2.3k · h-index 21

Impact in

Papers in

Michael Mandel

74 papers receiving 2.1k citations

Peers

Michael Mandel
Comparison fields: 5 of 108
  • Signal Processing 1.6k
  • Computer Vision and Pattern Recognition 955
  • Artificial Intelligence 757
  • Computational Mechanics 414
  • Cognitive Neuroscience 331
Replace Kazuyoshi Yoshii with:
Kazuyoshi Yoshii Japan
Kazunori Komatani Japan
Gautham J. Mysore United States
Shigeki Sagayama Japan
Maurizio Omologo Italy
Bob L. Sturm Denmark
Shlomo Dubnov United States
Qirong Mao China
Yannis Panagakis United Kingdom
Anssi Klapuri Finland
Michael Mandel relative to Kazuyoshi Yoshii Japan Kazuyoshi Yoshii's profile →
Citations per field
00.5×1.5×1.9×
Kazuyoshi Yoshii · 1×
Citations per year

Countries citing papers authored by Michael Mandel

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mandel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning algorithms for the classification restricted Boltzmann machine
2012223
2 2016222
3 2009215
4 2005197
5 2016135
6 2005113
7 2008102
8 2006101
9 200789
10 200981
11
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation
200478
12 200878
13 200868
14 200766
15 201750
16 201038
17 201332
18 201027
19 201525
20 200824

About Michael Mandel

Michael Mandel is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computational Mechanics, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (40 papers), Music and Audio Processing (36 papers), Speech Recognition and Synthesis (15 papers), Music Technology and Sound Studies (11 papers), Hearing Loss and Rehabilitation (10 papers), Blind Source Separation Techniques (7 papers), Advanced Adaptive Filtering Techniques (6 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Signal Processing (1.6k citations), Computer Vision and Pattern Recognition (955 citations), Artificial Intelligence (757 citations), Computational Mechanics (414 citations) and Cognitive Neuroscience (331 citations). Michael Mandel has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Daniel P. W. Ellis, Ron J. Weiss, Yoshua Bengio, Razvan Pascanu, John R. Hershey, Shinji Watanabe, Hakan Erdoğan, Hugo Larochelle, Tony Jebara and Erik B. Sudderth. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Audio Speech and Language Processing, Multimedia Systems and ACM Transactions on Multimedia Computing Communications and Applications.

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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