Alexis Michaud

57 papers receiving 475 citations

Peers

Alexis Michaud
Comparison fields: 5 of 54
  • Linguistics and Language 240
  • Experimental and Cognitive Psychology 344
  • Language and Linguistics 183
  • Artificial Intelligence 227
  • Signal Processing 44
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Citations per year

Countries citing papers authored by Alexis Michaud

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Michaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200563
2 200954
3
Documenting and Researching Endangered Languages: The Pangloss Collection.
201436
4 201134
5 201334
6
Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the Persephone toolkit
201823
7
Evaluating phonemic transcription of low-resource tonal languages for language documentation
201822
8
Speech Data Acquisition - The Underestimated Challenge
201520
9 200817
10 200617
11
Monosyllabicization: patterns of evolution in Asian languages
201215
12 200414
13 200413
14 200612
15 200711
16 201210
17 201110
18 20069
19 20069
20
Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages
20148

About Alexis Michaud

Alexis Michaud is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language, Artificial Intelligence, Language and Linguistics and Sociology and Political Science, having authored 67 papers that have together received 547 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (40 papers), Linguistic Variation and Morphology (26 papers), Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (12 papers), Syntax, Semantics, Linguistic Variation (9 papers), Linguistics and Cultural Studies (5 papers), Historical Linguistics and Language Studies (4 papers) and China's Ethnic Minorities and Relations (4 papers). The work is most often cited by research in Linguistics and Language (240 citations), Experimental and Cognitive Psychology (344 citations), Language and Linguistics (183 citations), Artificial Intelligence (227 citations) and Signal Processing (44 citations). Alexis Michaud has collaborated with scholars based in France, Australia and Vietnam. Frequent co-authors include Martine Mazaudon, Guillaume Jacques, Séverine Guillaume, Boyd Michailovsky, Oliver Niebuhr, Oliver Adams, Trevor Cohn, Graham Neubig, Alexandre François and Evangelia Adamou. Their work appears in journals such as Diachronica, Language documentation and conservation, Phonetica, Cancer Letters and Language.

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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