Gil Keren

665 total citations
19 papers, 267 citations indexed

About

Gil Keren is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gil Keren has authored 19 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gil Keren's work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (9 papers). Gil Keren is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (9 papers). Gil Keren collaborates with scholars based in Germany, United Kingdom and Israel. Gil Keren's co-authors include Björn W. Schuller, Christian Fuegen, Duc Le, Jay Mahadeokar, Michael L. Seltzer, Julian Chan, Nicholas Cummins, Ingmar Steiner, Andreas Triantafyllopoulos and Johannes Wagner and has published in prestigious journals such as IEEE Access, Multimedia Tools and Applications and Knowledge and Information Systems.

In The Last Decade

Gil Keren

17 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gil Keren Germany	10	183	133	34	33	14	19	267
Bartosz Ziółko Poland	10	128 0.7×	118 0.9×	34 1.0×	65 2.0×	4 0.3×	59	259
Sankaran Panchapagesan United States	9	322 1.8×	263 2.0×	27 0.8×	38 1.2×	8 0.6×	17	385
Helin Wang China	10	158 0.9×	220 1.7×	12 0.4×	109 3.3×	15 1.1×	24	319
Yushi Aono Japan	11	271 1.5×	144 1.1×	73 2.1×	42 1.3×	16 1.1×	43	338
Hannah Muckenhirn Switzerland	8	405 2.2×	416 3.1×	26 0.8×	36 1.1×	18 1.3×	11	487
Matt Shannon United Kingdom	11	317 1.7×	250 1.9×	16 0.5×	26 0.8×	10 0.7×	13	372
Anderson R. Avila Canada	8	136 0.7×	150 1.1×	53 1.6×	31 0.9×	31 2.2×	25	272
Soham Deshmukh United Kingdom	6	122 0.7×	144 1.1×	19 0.6×	67 2.0×	11 0.8×	14	233
Vitaly Lavrukhin United States	6	312 1.7×	214 1.6×	15 0.4×	44 1.3×	7 0.5×	20	371

Countries citing papers authored by Gil Keren

Since Specialization

Citations

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

Fields of papers citing papers by Gil Keren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil Keren

This figure shows the co-authorship network connecting the top 25 collaborators of Gil Keren. A scholar is included among the top collaborators of Gil Keren 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 Gil Keren. Gil Keren 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:

19 of 19 papers shown

Raj, Desh, Gil Keren, Junteng Jia, Jay Mahadeokar, & Ozlem Kalinli. (2025). Faster Speech-LLaMA Inference with Multi-token Prediction. 1–5.

Li, Ke, Jay Mahadeokar, Jinxi Guo, et al.. (2023). Improving fast-slow Encoder based Transducer with Streaming Deliberation. 1–5. 3 indexed citations

Keren, Gil. (2023). A Token-Wise Beam Search Algorithm for RNN-T. 1–8.

Xiao, Alex, Gil Keren, Duc Le, et al.. (2022). Scaling ASR Improves Zero and Few Shot Learning. Interspeech 2022. 5135–5139. 5 indexed citations

Le, Duc, Mahaveer Jain, Gil Keren, et al.. (2021). Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion. 1772–1776. 44 indexed citations

Keren, Gil, et al.. (2021). N-HANS: A neural network-based toolkit for in-the-wild audio enhancement. Multimedia Tools and Applications. 80(18). 28365–28389. 9 indexed citations

Wang, Yun, et al.. (2021). A Two-Stage Approach to Speech Bandwidth Extension. 1689–1693. 4 indexed citations

Le, Duc, Gil Keren, Julian Chan, et al.. (2021). Deep Shallow Fusion for RNN-T Personalization. 251–257. 42 indexed citations

Schuller, Björn W., Alice Baird, Shahin Amiriparian, et al.. (2021). New Avenues in Audio Intelligence: Towards Holistic Real-life Audio Understanding. Trends in Hearing. 25. 1851359479–1851359479. 3 indexed citations

10.

Wang, Yun, et al.. (2021). A Time-Domain Convolutional Recurrent Network for Packet Loss Concealment. 7148–7152. 24 indexed citations

11.

Triantafyllopoulos, Andreas, Gil Keren, Johannes Wagner, Ingmar Steiner, & Björn W. Schuller. (2019). Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement. OPUS (Augsburg University). 1691–1695. 38 indexed citations

12.

Keren, Gil, Sivan Sabato, & Björn W. Schuller. (2019). Analysis of loss functions for fast single-class classification. Knowledge and Information Systems. 62(1). 337–358. 2 indexed citations

13.

Keren, Gil, Sivan Sabato, & Björn W. Schuller. (2018). Fast Single-Class Classification and the Principle of Logit Separation. OPUS (Augsburg University). 227–236. 13 indexed citations

14.

Keren, Gil, Nicholas Cummins, & Björn W. Schuller. (2018). Calibrated Prediction Intervals for Neural Network Regressors. IEEE Access. 6. 54033–54041. 16 indexed citations

15.

Keren, Gil, Jing Han, & Björn W. Schuller. (2018). Scaling speech enhancement in unseen environments with noise embeddings. OPUS (Augsburg University). 25–29. 10 indexed citations

16.

Zhang, Zixing, et al.. (2018). Emotion Recognition in Speech with Latent Discriminative Representations Learning. Acta acustica united with Acustica. 104(5). 737–740. 10 indexed citations

17.

Amiriparian, Shahin, Sergey Pugachevskiy, Nicholas Cummins, et al.. (2017). CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. OPUS (Augsburg University). 340–345. 23 indexed citations

18.

Keren, Gil, Sivan Sabato, & Björn W. Schuller. (2017). Tunable Sensitivity to Large Errors in Neural Network Training. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 6 indexed citations

19.

Keren, Gil, Jun Deng, Jouni Pohjalainen, & Björn W. Schuller. (2016). Convolutional Neural Networks with Data Augmentation for Classifying Speakers’ Native Language. OPUS (Augsburg University). 2393–2397. 15 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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