Michael Picheny

6.8k citations
159 papers · 5k · 1 hit paper · h-index 33

Impact in

Papers in

Michael Picheny

154 papers receiving 4.3k citations

Michael Picheny's Hit Papers

Speaker adaptation of neural network acoustic models using i-vectors 2013 · 480 citations
4800+4+8Years since publication100200300400

Peers

Michael Picheny
Comparison fields: 5 of 115
  • Artificial Intelligence 3.3k
  • Signal Processing 454
  • Experimental and Cognitive Psychology 701
  • Cognitive Neuroscience 307
  • Computer Vision and Pattern Recognition 250
Replace Mikko Kurimo with:
Mikko Kurimo Finland
Lori F Lamel France
Alexandros Potamianos Greece
Douglas D. O’Shaughnessy Canada
Isabel M. Trancoso Portugal
Victor W. Zue United States
N. Morgan United States
Gérard Bailly France
Sadaoki Furui Japan
Ronald A. Cole United States
Michael Picheny relative to Mikko Kurimo Finland Mikko Kurimo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Picheny

Since Specialization
Citations

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

Fields of papers citing papers by Michael Picheny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986516
2
Speaker adaptation of neural network acoustic models using i-vectors
Hit paper breakdown →
2013480
3 1985355
4 2017265
5 2011215
6 1989147
7 2004106
8 2006101
9 198994
10 199191
11 201784
12 202184
13 201874
14 201572
15 199767
16 201566
17 197962
18 199860
19 198858
20 202156

About Michael Picheny

Michael Picheny is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Hardware and Architecture, having authored 159 papers that have together received 5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (134 papers), Natural Language Processing Techniques (12 papers), Speech and Audio Processing (6 papers), Speech and dialogue systems (6 papers), Multimodal Machine Learning Applications (4 papers), Hearing Loss and Rehabilitation (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Signal Processing (454 citations), Experimental and Cognitive Psychology (701 citations), Cognitive Neuroscience (307 citations) and Computer Vision and Pattern Recognition (250 citations). Michael Picheny has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include N. I. Durlach, Louis D. Braida, D. Nahamoo, George Saon, Bhuvana Ramabhadran, Hagen Soltau, L.R. Bahl, Arthur J. Nadas, Kartik Audhkhasi and Yuqing Gao. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Audio Speech and Language Processing, Journal of Speech Language and Hearing Research, IBM Journal of Research and Development and IEEE Signal Processing Magazine.

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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