Andrew Rouditchenko

724 total citations
12 papers, 112 citations indexed

About

Andrew Rouditchenko is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Andrew Rouditchenko has authored 12 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Andrew Rouditchenko's work include Music and Audio Processing (7 papers), Multimodal Machine Learning Applications (5 papers) and Speech and Audio Processing (4 papers). Andrew Rouditchenko is often cited by papers focused on Music and Audio Processing (7 papers), Multimodal Machine Learning Applications (5 papers) and Speech and Audio Processing (4 papers). Andrew Rouditchenko collaborates with scholars based in United States and Germany. Andrew Rouditchenko's co-authors include James Glass, Hilde Kuehne, Samuel Thomas, Brian Kingsbury, David Harwath, Rogério Feris, Yuan Gong, Rameswar Panda, Cheng-I Lai and Michael Picheny and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Letters and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Andrew Rouditchenko

10 papers receiving 106 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Rouditchenko United States	5	71	57	30	10	4	12	112
Bin Dong China	7	27 0.4×	80 1.4×	24 0.8×	21 2.1×	6 1.5×	20	128
Joanna Bitton Canada	5	150 2.1×	74 1.3×	29 1.0×	6 0.6×	8 2.0×	6	204
Davide Testuggine United States	2	37 0.5×	60 1.1×	12 0.4×	6 0.6×	2 0.5×	2	88
Benjamin Lecouteux France	6	18 0.3×	98 1.7×	53 1.8×	6 0.6×	4 1.0×	17	123
Badri N. Patro India	7	50 0.7×	49 0.9×	7 0.2×	7 0.7×	3 0.8×	18	94
Paden Tomasello France	5	22 0.3×	140 2.5×	49 1.6×	11 1.1×	5 1.3×	10	153
Julián Salazar United States	5	25 0.4×	158 2.8×	96 3.2×	9 0.9×	4 1.0×	7	186
Galen Chuang United States	3	37 0.5×	96 1.7×	40 1.3×	6 0.6×	5 1.3×	3	125
Yichong Leng China	5	26 0.4×	120 2.1×	71 2.4×	9 0.9×	4 1.0×	10	152
Ákos Kádár Netherlands	7	93 1.3×	152 2.7×	10 0.3×	7 0.7×	5 1.3×	17	173

Countries citing papers authored by Andrew Rouditchenko

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Rouditchenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Rouditchenko

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

All Works

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12 of 12 papers shown

Khurana, Sameer, et al.. (2025). CMKD: CNN/Transformer-Based Cross-Model Knowledge Distillation for Audio Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 3571–3585.

Rouditchenko, Andrew, Samuel Thomas, Hilde Kuehne, Rogério Feris, & James Glass. (2025). mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition. IEEE Signal Processing Letters. 32. 2144–2148.

Chen, Brian, Andrew Rouditchenko, Daniel Kondermann, et al.. (2024). What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. 18419–18429. 1 indexed citations

Rouditchenko, Andrew, Yuan Gong, Samuel Thomas, et al.. (2024). Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. 2420–2424. 6 indexed citations

Rouditchenko, Andrew, Sameer Khurana, Samuel Thomas, et al.. (2023). Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. 2268–2272. 8 indexed citations

Rouditchenko, Andrew, Yung-Sung Chuang, Samuel Thomas, et al.. (2023). C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. 1–5. 3 indexed citations

Liu, Alexander, et al.. (2022). Cross-Modal Discrete Representation Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3013–3035. 24 indexed citations

Gong, Yuan, Alexander H. Liu, Andrew Rouditchenko, & James Glass. (2022). UAVM: Towards Unifying Audio and Visual Models. IEEE Signal Processing Letters. 29. 2437–2441. 16 indexed citations

Chen, Brian, Andrew Rouditchenko, Hilde Kuehne, et al.. (2021). Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7992–8001. 46 indexed citations

10.

Rouditchenko, Andrew, David Harwath, Samuel Thomas, et al.. (2021). Cascaded Multilingual Audio-Visual Learning from Videos. 3006–3010. 4 indexed citations

11.

Rouditchenko, Andrew, et al.. (2021). Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset. 3650–3654. 2 indexed citations

12.

Rouditchenko, Andrew, Hang Zhao, Chuang Gan, Josh H. McDermott, & Antonio Torralba. (2019). Self-Supervised Segmentation and Source Separation on Videos. Computer Vision and Pattern Recognition. 0–0. 2 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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