Nam Le

558 total citations · 1 hit paper
6 papers, 360 citations indexed

About

Nam Le is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Nam Le has authored 6 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Nam Le's work include Speech and Audio Processing (4 papers), Face recognition and analysis (3 papers) and Speech Recognition and Synthesis (3 papers). Nam Le is often cited by papers focused on Speech and Audio Processing (4 papers), Face recognition and analysis (3 papers) and Speech Recognition and Synthesis (3 papers). Nam Le collaborates with scholars based in Switzerland, Germany and United Kingdom. Nam Le's co-authors include Jean‐Marc Odobez, Di Wu, Pieter-Jan Kindermans, Ling Shao, Lionel Pigou and Joni Dambre and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Multimedia Tools and Applications and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Nam Le

6 papers receiving 347 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

2016 331 citations Di Wu, Lionel Pigou et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nam Le Switzerland	4	237	182	110	91	42	6	360
Lionel Pigou Belgium	3	256 1.1×	226 1.2×	133 1.2×	73 0.8×	67 1.6×	3	379
Okan Köpüklü Germany	6	194 0.8×	183 1.0×	88 0.8×	68 0.7×	47 1.1×	13	326
Bong-Kee Sin South Korea	9	266 1.1×	156 0.9×	73 0.7×	90 1.0×	20 0.5×	28	392
M. Teja Kiran Kumar India	10	226 1.0×	212 1.2×	137 1.2×	50 0.5×	98 2.3×	18	362
Stephan Liwicki United Kingdom	9	264 1.1×	112 0.6×	44 0.4×	58 0.6×	74 1.8×	18	361
Benjia Zhou China	8	172 0.7×	114 0.6×	91 0.8×	37 0.4×	29 0.7×	12	253
Ram Kumar Karsh India	11	249 1.1×	153 0.8×	84 0.8×	27 0.3×	59 1.4×	39	413
Subarna Tripathi United States	10	234 1.0×	96 0.5×	35 0.3×	75 0.8×	47 1.1×	21	310
Pradyumna Narayana United States	9	165 0.7×	136 0.7×	60 0.5×	84 0.9×	27 0.6×	18	257
Ashwin Thangali United States	8	278 1.2×	160 0.9×	67 0.6×	60 0.7×	96 2.3×	12	349

Countries citing papers authored by Nam Le

Since Specialization

Citations

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

Fields of papers citing papers by Nam Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nam Le

This figure shows the co-authorship network connecting the top 25 collaborators of Nam Le. A scholar is included among the top collaborators of Nam Le 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 Nam Le. Nam Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Le, Nam & Jean‐Marc Odobez. (2018). Improving speech embedding using crossmodal transfer learning with audio-visual data. Multimedia Tools and Applications. 78(11). 15681–15704. 3 indexed citations

2.

Le, Nam & Jean‐Marc Odobez. (2018). Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2257–2261. 10 indexed citations

3.

Le, Nam & Jean‐Marc Odobez. (2017). A domain adaptation approach to improve speaker turn embedding using face representation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 411–415. 1 indexed citations

4.

Le, Nam & Jean‐Marc Odobez. (2016). Learning Multimodal Temporal Representation for Dubbing Detection in Broadcast Media. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 202–206. 13 indexed citations

5.

Le, Nam, et al.. (2016). Temporally subsampled detection for accurate and efficient face tracking and diarization. 1792–1797. 2 indexed citations

6.

Wu, Di, Lionel Pigou, Pieter-Jan Kindermans, et al.. (2016). Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(8). 1583–1597. 331 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact