Aaron Lawson

878 citations
41 papers · 509 · h-index 11

Impact in

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

Papers in

    • Speech Recognition and Synthesis 32
    • Natural Language Processing Techniques 9
    • Speech and dialogue systems 4
    • Topic Modeling 3
    • Speech and Audio Processing 23
    • Music and Audio Processing 20

Aaron Lawson

40 papers receiving 446 citations

Peers

Aaron Lawson
Comparison fields: 5 of 44
  • Signal Processing 420
  • Artificial Intelligence 448
  • Computer Vision and Pattern Recognition 41
  • Experimental and Cognitive Psychology 20
  • Developmental Biology 3
Replace Masami Akamine with:
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Aaron Lawson relative to Masami Akamine Japan Masami Akamine's profile →
Citations per field
00.5×5.2×
Masami Akamine · 1×
Citations per year

Countries citing papers authored by Aaron Lawson

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Lawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016150
2 201861
3 201439
4 201631
5 201626
6 201923
7 201818
8 201817
9 201316
10 200314
11 201412
12
Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features
20199
13 20199
14 20137
15 20167
16 20137
17 20126
18 20226
19 20015
20 20075

About Aaron Lawson

Aaron Lawson is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Molecular Biology, having authored 41 papers that have together received 509 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (23 papers), Music and Audio Processing (20 papers), Natural Language Processing Techniques (9 papers), Speech and dialogue systems (4 papers), Phonetics and Phonology Research (3 papers), Topic Modeling (3 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Signal Processing (420 citations), Artificial Intelligence (448 citations), Computer Vision and Pattern Recognition (41 citations), Experimental and Cognitive Psychology (20 citations) and Developmental Biology (3 citations). Aaron Lawson has collaborated with scholars based in United States, Argentina and Ghana. Frequent co-authors include Mitchell McLaren, Luciana Ferrer, Diego Castán, Mahesh Kumar Nandwana, Nicolas Scheffer, Yun Lei, Martin Graciarena, Julien van Hout, Colleen Richey and M. A. Barrios. Their work appears in journals such as Developmental Dynamics, IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, Language Sciences and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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