Marvin Lavechin

517 total citations
15 papers, 202 citations indexed

About

Marvin Lavechin is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Marvin Lavechin has authored 15 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Developmental and Educational Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Marvin Lavechin's work include Speech and dialogue systems (8 papers), Language Development and Disorders (8 papers) and Speech Recognition and Synthesis (6 papers). Marvin Lavechin is often cited by papers focused on Speech and dialogue systems (8 papers), Language Development and Disorders (8 papers) and Speech Recognition and Synthesis (6 papers). Marvin Lavechin collaborates with scholars based in France, Finland and Netherlands. Marvin Lavechin's co-authors include Alejandrina Cristià, Okko Räsänen, Caroline F. Rowland, Mélanie Söderström, Elika Bergelson, Hervé Bredin, Camila Scaff, Emmanuel Dupoux, Leibny Paola Garcia and Marisa Casillas and has published in prestigious journals such as Cognition, Behavior Research Methods and Developmental Science.

In The Last Decade

Marvin Lavechin

13 papers receiving 196 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marvin Lavechin France 6 124 66 38 34 29 15 202
Elena Lyakso Russia 7 58 0.5× 52 0.8× 51 1.3× 39 1.1× 40 1.4× 50 171
Оlga Frolova Russia 6 49 0.4× 36 0.5× 38 1.0× 30 0.9× 26 0.9× 36 127
Andrei Amatuni United States 4 222 1.8× 34 0.5× 74 1.9× 5 0.1× 32 1.1× 8 254
Adriel John Orena Canada 9 172 1.4× 19 0.3× 84 2.2× 12 0.4× 12 0.4× 18 232
Eon‐Suk Ko United States 9 135 1.1× 78 1.2× 92 2.4× 5 0.1× 29 1.0× 28 232
Iris‐Corinna Schwarz Sweden 9 158 1.3× 19 0.3× 131 3.4× 15 0.4× 13 0.4× 23 238
Page Piccinini United States 6 109 0.9× 38 0.6× 94 2.5× 5 0.1× 9 0.3× 16 197
Chandan Narayan Canada 7 200 1.6× 39 0.6× 209 5.5× 25 0.7× 37 1.3× 13 276
Harriet B. Klein United States 11 268 2.2× 51 0.8× 197 5.2× 23 0.7× 12 0.4× 21 342
Christopher Martin Mikkelsen Cox Denmark 5 94 0.8× 16 0.2× 37 1.0× 2 0.1× 29 1.0× 12 121

Countries citing papers authored by Marvin Lavechin

Since Specialization
Citations

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

Fields of papers citing papers by Marvin Lavechin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marvin Lavechin

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin Lavechin. A scholar is included among the top collaborators of Marvin Lavechin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marvin Lavechin. Marvin Lavechin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Lavechin, Marvin, et al.. (2025). Simulating Early Phonetic and Word Learning Without Linguistic Categories. Developmental Science. 28(2). e13606–e13606. 1 indexed citations
2.
Gonzalez‐Gomez, Nayeli, et al.. (2024). Simulating prenatal language exposure in computational models: An exploration study. Cognition. 256. 106044–106044. 1 indexed citations
3.
Lavechin, Marvin, et al.. (2024). Decode, Move and Speak! Self-supervised Learning of Speech Units, Gestures, and Sound Relationships Using Vocal Imitation. Computational Linguistics. 1–29. 2 indexed citations
4.
Cristià, Alejandrina, Zixing Zhang, Björn W. Schuller, et al.. (2024). Establishing the reliability of metrics extracted from long-form recordings using LENA and the ACLEW pipeline. Behavior Research Methods. 56(8). 8588–8607. 4 indexed citations
5.
Lavechin, Marvin, Florian Metze, Abdelrahman Mohamed, et al.. (2024). Modeling early phonetic acquisition from child-centered audio data. Cognition. 245. 105734–105734. 4 indexed citations
6.
Lavechin, Marvin, et al.. (2023). Measuring Language Development From Child-centered Recordings. SPIRE - Sciences Po Institutional REpository. 4618–4622.
7.
Lavechin, Marvin, et al.. (2023). BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models. HAL (Le Centre pour la Communication Scientifique Directe). 4588–4592. 4 indexed citations
8.
Lavechin, Marvin, et al.. (2023). ProsAudit, a prosodic benchmark for self-supervised speech models. SPIRE - Sciences Po Institutional REpository. 2963–2967.
9.
Lavechin, Marvin, et al.. (2023). Realistic and broad-scope learning simulations: first results and challenges. Journal of Child Language. 50(6). 1294–1317. 3 indexed citations
10.
Lavechin, Marvin, et al.. (2022). Probing phoneme, language and speaker information in unsupervised speech representations. Interspeech 2022. 1402–1406. 8 indexed citations
11.
Lavechin, Marvin, et al.. (2021). Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings. Annual Review of Linguistics. 8(1). 389–407. 12 indexed citations
12.
Räsänen, Okko, et al.. (2020). ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings. Behavior Research Methods. 53(2). 818–835. 31 indexed citations
13.
Cristià, Alejandrina, Marvin Lavechin, Camila Scaff, et al.. (2020). A thorough evaluation of the Language Environment Analysis (LENA) system. Behavior Research Methods. 53(2). 467–486. 82 indexed citations
14.
Lavechin, Marvin, et al.. (2020). An Open-Source Voice Type Classifier for Child-Centered Daylong Recordings. arXiv (Cornell University). 3072–3076. 20 indexed citations
15.
Lavechin, Marvin, et al.. (2020). End-to-End Domain-Adversarial Voice Activity Detection. arXiv (Cornell University). 3685–3689. 30 indexed citations

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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