Malcolm Slaney

19.6k total citations · 7 hit papers
133 papers, 12.4k citations indexed

About

Malcolm Slaney is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Malcolm Slaney has authored 133 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Signal Processing, 59 papers in Computer Vision and Pattern Recognition and 35 papers in Artificial Intelligence. Recurrent topics in Malcolm Slaney's work include Speech and Audio Processing (61 papers), Music and Audio Processing (51 papers) and Hearing Loss and Rehabilitation (24 papers). Malcolm Slaney is often cited by papers focused on Speech and Audio Processing (61 papers), Music and Audio Processing (51 papers) and Hearing Loss and Rehabilitation (24 papers). Malcolm Slaney collaborates with scholars based in United States, United Kingdom and Denmark. Malcolm Slaney's co-authors include Avinash C. Kak, Ge Wang, Eric D. Scheirer, Michael A. Casey, Michele Covell, A.C. Kak, Christoph Bregler, L.E. Larsen, Shihab Shamma and Nima Mesgarani and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Malcolm Slaney

130 papers receiving 11.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Principles of Computerized Tomographic Imaging

2001 3.9k citations Malcolm Slaney et al. profile →
CNN architectures for large-scale audio classification

2017 1.4k citations Shawn Hershey, Sourish Chaudhuri et al. profile →
Principles of Computerized Tomographic Imaging

2002 1.2k citations Malcolm Slaney et al. profile →
Construction and evaluation of a robust multifeature speech/music discriminator

2002 568 citations Malcolm Slaney et al. profile →
Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG

2014 531 citations Malcolm Slaney, Edmund C. Lalor et al. profile →
Limitations of Imaging with First-Order Diffraction Tomography

1984 450 citations Malcolm Slaney et al. profile →
Content-Based Music Information Retrieval: Current Directions and Future Challenges

2008 410 citations Michael A. Casey, Malcolm Slaney et al. profile →

Peers

Countries citing papers authored by Malcolm Slaney

Since Specialization

Citations

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

Fields of papers citing papers by Malcolm Slaney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Slaney

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Slaney. A scholar is included among the top collaborators of Malcolm Slaney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malcolm Slaney. Malcolm Slaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Real-time control of a hearing instrument with EEG-based attention decoding 2025 ·Journal of Neural Engineering ·Jens Hjortkjær, Daniel D.E. Wong, (unknown), (unknown), Enea Ceolini, Søren A. Fuglsang, (unknown), Giovanni M. Di Liberto, Shih‐Chii Liu, Torsten Dau, Malcolm Slaney, Alain de Cheveigné	4
2	Comparing human and machine speech recognition in noise with QuickSIN 2024 ·SHILAP Revista de lepidopterología ·Malcolm Slaney, Matthew B. Fitzgerald	4
3	Auditory stimulus-response modeling with a match-mismatch task 2021 ·Journal of Neural Engineering ·Alain de Cheveigné, Malcolm Slaney, Søren A. Fuglsang, Jens Hjortkjær	20
4	Rapid Ocular Responses Are Modulated by Bottom-up-Driven Auditory Salience 2019 ·Journal of Neuroscience ·Sijia Zhao, (unknown), Lucas Benjamin, Elia Benhamou, Makoto Yoneya, Shigeto Furukawa, Frederic Dick, Malcolm Slaney, Maria Chait	27
5	A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding 2018 ·Frontiers in Neuroscience ·Daniel D.E. Wong, Søren A. Fuglsang, Jens Hjortkjær, Enea Ceolini, Malcolm Slaney, Alain de Cheveigné	87
6	Connecting Deep Neural Networks to Physical, Perceptual, and Electrophysiological Auditory Signals 2018 ·Frontiers in Neuroscience ·(unknown), Malcolm Slaney, Mounya Elhilali	11
7	Decoding the auditory brain with canonical component analysis 2018 ·NeuroImage ·Alain de Cheveigné, Daniel D.E. Wong, Giovanni M. Di Liberto, Jens Hjortkjær, Malcolm Slaney, Edmund C. Lalor	127
8	CNN architectures for large-scale audio classification breakdown → 2017 ·Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, Robert C. Moore, Manoj Plakal, (unknown), Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, Kevin Wilson	1432
9	Probabilistic features for connecting eye gaze to spoken language understanding 2015 ·(unknown), Malcolm Slaney, Dilek Hakkani‐Tür	3
10	Collaborative Filtering and the Missing at Random Assumption 2012 ·arXiv (Cornell University) ·Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney	107
11	Recommender systems: missing data and statistical model estimation 2011 ·International Joint Conference on Artificial Intelligence ·Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney	23
12	Periodicity detection and localization using spike timing from the AER EAR 2009 ·Zurich Open Repository and Archive (University of Zurich) ·Theodore Yu, (unknown), John G. Harris, Malcolm Slaney, Shih‐Chii Liu	8
13	A statistical model of timbre perception. 2006 ·Conference of the International Speech Communication Association ·(unknown), Malcolm Slaney, Jonathan Berger	3
14	Song Intersection By Approximate Nearest Neighbor Search. 2006 ·Zenodo (CERN European Organization for Nuclear Research) ·Michael A. Casey, Malcolm Slaney	34
15	Measuring the Tools and Behaviors of Sensemaking 2004 ·Biochimica et Biophysica Acta ·Daniel M. Russell, Malcolm Slaney	1
16	FaceSync: A Linear Operator for Measuring Synchronization of Video Facial Images and Audio Tracks 2000 ·Neural Information Processing Systems ·Malcolm Slaney, Michele Covell	100
17	A critique of pure audition 1998 ·CRC Press eBooks ·Malcolm Slaney	26
18	Video rewrite: visual speech synthesis from video. 1997 ·AVSP ·Christoph Bregler, Michele Covell, Malcolm Slaney	11
19	Pattern Playback in the 90s 1994 ·Neural Information Processing Systems ·Malcolm Slaney	2
20	On the importance of time—a temporal representation of sound 1993 ·John Wiley & Sons, Inc. eBooks ·Malcolm Slaney, Richard F. Lyon	90

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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