Michael Mandel

3.6k citations
74 papers · 2.0k indexed · h-index 19

Michael Mandel

70 papers receiving 1.8k citations

Peers

Michael Mandel
Comparison fields: 5 of 108
  • Signal Processing 1.4k
  • Computer Vision and Pattern Recognition 783
  • Artificial Intelligence 671
  • Computational Mechanics 361
  • Human-Computer Interaction 81
Replace Kazuyoshi Yoshii with:
Kazuyoshi Yoshii Japan
Kazunori Komatani Japan
Gautham J. Mysore United States
Shigeki Sagayama Japan
Bob L. Sturm Denmark
Qirong Mao China
Shlomo Dubnov United States
Maurizio Omologo Italy
Iain McCowan Switzerland
George Trigeorgis United Kingdom
Michael Mandel relative to Kazuyoshi Yoshii Japan Kazuyoshi Yoshii's profile →
Citations per field
00.5×
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-authorship network

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
#Work
1 20241
2 20231
3 20214
4 20202
5 20184
6 20174
7 2016216
8 20161
9 201521
10 20119
11 201026
12 200914
13 200717
14 200683
15
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation
200460
16 20047
17 20044
18
Modeling Physical Variability for Synthetic MOUT Agents
20041
19 20018
20
USE AND CONSEQUENCES OF TIMED TRANSFERS ON U.S. TRANSIT PROPERTIES
19811

About Michael Mandel

Michael Mandel is a scholar working on Signal Processing, Developmental Biology, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (38 papers), Music and Audio Processing (34 papers), Speech Recognition and Synthesis (14 papers), Music Technology and Sound Studies (11 papers), Hearing Loss and Rehabilitation (10 papers), Blind Source Separation Techniques (7 papers), Advanced Adaptive Filtering Techniques (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Signal Processing (1.4k citations), Computer Vision and Pattern Recognition (783 citations), Artificial Intelligence (671 citations), Computational Mechanics (361 citations) and Human-Computer Interaction (81 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, Shinji Watanabe, Hakan Erdoğan, John R. Hershey, Razvan Pascanu, Hugo Larochelle, Jonathan Le Roux and Alan S. Willsky. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, Proceedings of the VLDB Endowment, Journal of New Music Research and Speech Communication.

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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