K.M. Knill

596 citations
30 papers · 378 · h-index 10

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Topic Modeling

Papers in

    • Speech Recognition and Synthesis 20
    • Speech and dialogue systems 10
    • Natural Language Processing Techniques 9
    • Topic Modeling 5
    • Algorithms and Data Compression 3
    • Music and Audio Processing 10
    • Speech and Audio Processing 7

K.M. Knill

29 papers receiving 310 citations

Peers

K.M. Knill
Comparison fields: 5 of 33
  • Signal Processing 206
  • Artificial Intelligence 359
  • Computer Vision and Pattern Recognition 48
  • Experimental and Cognitive Psychology 24
  • Developmental Biology 1
Replace Daniel Willett with:
Daniel Willett Germany
Yatharth Saraf United States
Mahsa Yarmohammadi United States
Ivan Bulyko United States
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Alexander Gutkin United States
Janne Pylkkönen Finland
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Citations per field
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Citations per year

Countries citing papers authored by K.M. Knill

Since Specialization
Citations

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

Fields of papers citing papers by K.M. Knill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 201367
3 199938
4 200232
5 201531
6 201830
7 201517
8 200214
9 201913
10 200610
11 20188
12 20176
13 20156
14 20175
15 20055
16 20194
17 20173
18 20213
19 19993
20 20173

About K.M. Knill

K.M. Knill is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Control and Systems Engineering, having authored 30 papers that have together received 378 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (20 papers), Music and Audio Processing (10 papers), Speech and dialogue systems (10 papers), Natural Language Processing Techniques (9 papers), Speech and Audio Processing (7 papers), Topic Modeling (5 papers), Advanced Data Compression Techniques (3 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Signal Processing (206 citations), Artificial Intelligence (359 citations), Computer Vision and Pattern Recognition (48 citations), Experimental and Cognitive Psychology (24 citations) and Developmental Biology (1 citation). K.M. Knill has collaborated with scholars based in United Kingdom, South Sudan and Austria. Frequent co-authors include Mark Gales, S.J. Young, Anton Ragni, Philip C. Woodland, C. Zhang, Shakti P. Rath, Sacha Krstulović, Norbert Braunschweiler, Heiga Zen and Javier Latorre. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, Computer Speech & Language, Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing and IEEE Transactions on Audio Speech and Language Processing.

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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