K.M. Knill

609 citations
31 papers · 439 · h-index 11

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
    • Text Readability and Simplification 3
    • Music and Audio Processing 10
    • Speech and Audio Processing 7

K.M. Knill

30 papers receiving 370 citations

Peers

K.M. Knill
Comparison fields: 5 of 41
  • Signal Processing 228
  • Artificial Intelligence 407
  • Experimental and Cognitive Psychology 31
  • Computer Vision and Pattern Recognition 51
  • Health Informatics 3
Replace Yatharth Saraf with:
Yatharth Saraf United States
Daniel Willett Germany
Ramya Rasipuram Switzerland
Patrick von Platen Germany
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Tanvina Patel India
Ivan Bulyko United States
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 201368
3 199942
4 200235
5 201533
6 201830
7 199729
8 201517
9 200216
10 200613
11 201913
12 20189
13 20177
14 20156
15 20196
16 20175
17 20055
18 20254
19 20174
20 20224

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 31 papers that have together received 439 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), Text Readability and Simplification (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Signal Processing (228 citations), Artificial Intelligence (407 citations), Experimental and Cognitive Psychology (31 citations), Computer Vision and Pattern Recognition (51 citations) and Health Informatics (3 citations). K.M. Knill has collaborated with scholars based in United Kingdom, South Sudan and Austria. Frequent co-authors include Mark Gales, S.J. Young, S. Young, Anton Ragni, C. Zhang, Heiga Zen, Shakti P. Rath, Norbert Braunschweiler, Sacha Krstulović and Philip C. Woodland. Their work appears in journals such as Computer Speech & Language, Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio 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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