Benjamin Elizalde

3.0k total citations · 2 hit papers
29 papers, 1.3k citations indexed

About

Benjamin Elizalde is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Benjamin Elizalde has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Benjamin Elizalde's work include Music and Audio Processing (21 papers), Speech and Audio Processing (16 papers) and Speech Recognition and Synthesis (8 papers). Benjamin Elizalde is often cited by papers focused on Music and Audio Processing (21 papers), Speech and Audio Processing (16 papers) and Speech Recognition and Synthesis (8 papers). Benjamin Elizalde collaborates with scholars based in United States, United Kingdom and Italy. Benjamin Elizalde's co-authors include Gerald Friedland, Bart Thomée, Karl Ni, Damian Borth, David A. Shamma, Li-Jia Li, Douglas N. Poland, Soham Deshmukh, Huaming Wang and Mahmoud Al Ismail and has published in prestigious journals such as Scientific Reports, Communications of the ACM and The Journal of the Acoustical Society of America.

In The Last Decade

Benjamin Elizalde

28 papers receiving 1.2k citations

Hit Papers

YFCC100M 2016 2026 2019 2022 2016 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Elizalde United States 10 839 480 367 80 61 29 1.3k
Bart Thomée Netherlands 12 1.2k 1.4× 421 0.9× 114 0.3× 106 1.3× 113 1.9× 31 1.5k
Karl Ni United States 8 913 1.1× 367 0.8× 131 0.4× 94 1.2× 190 3.1× 27 1.2k
Douglas N. Poland United States 3 670 0.8× 297 0.6× 71 0.2× 79 1.0× 62 1.0× 6 878
Feng Xue China 15 486 0.6× 356 0.7× 193 0.5× 52 0.7× 76 1.2× 55 1.0k
Gabriel Synnaeve France 19 708 0.8× 1.5k 3.1× 546 1.5× 56 0.7× 55 0.9× 54 2.1k
Loris Bazzani Italy 20 2.6k 3.1× 541 1.1× 87 0.2× 50 0.6× 56 0.9× 36 2.8k
Pınar Duygulu Türkiye 21 1.3k 1.6× 488 1.0× 144 0.4× 34 0.4× 129 2.1× 73 1.7k
Alessandro Perina Italy 20 1.9k 2.3× 401 0.8× 88 0.2× 95 1.2× 59 1.0× 60 2.2k
John R. Kender United States 20 1.1k 1.3× 248 0.5× 299 0.8× 75 0.9× 71 1.2× 116 1.4k

Countries citing papers authored by Benjamin Elizalde

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Elizalde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Elizalde

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

All Works

20 of 20 papers shown
1.
Miao, Zhongqi, Benjamin Elizalde, Soham Deshmukh, et al.. (2025). Multi-modal Language models in bioacoustics with zero-shot transfer: a case study. Scientific Reports. 15(1). 7242–7242. 3 indexed citations
2.
Elizalde, Benjamin, et al.. (2024). Prompting Audios Using Acoustic Properties for Emotion Representation. 11936–11940. 1 indexed citations
3.
Elizalde, Benjamin, et al.. (2024). Natural Language Supervision For General-Purpose Audio Representations. 336–340. 20 indexed citations
4.
Vinnikov, Alon, S. Peer, Xiong Xiao, et al.. (2024). NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription. 5003–5007. 9 indexed citations
5.
Deshmukh, Soham, et al.. (2024). Training Audio Captioning Models without Audio. 371–375. 7 indexed citations
6.
Elizalde, Benjamin. (2023). Categorization of sound events for automatic sound event classification. The Journal of the Acoustical Society of America. 153(3_supplement). A364–A364. 1 indexed citations
7.
Elizalde, Benjamin, Soham Deshmukh, Mahmoud Al Ismail, & Huaming Wang. (2023). CLAP Learning Audio Concepts from Natural Language Supervision. 1–5. 149 indexed citations breakdown →
8.
Deshmukh, Soham, et al.. (2023). Audio Retrieval with WavText5K and CLAP Training. 2948–2952. 19 indexed citations
9.
Elizalde, Benjamin & Dimitra Emmanouilidou. (2021). Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails. Proceedings of meetings on acoustics. 45. 60004–60004. 2 indexed citations
10.
Elizalde, Benjamin & Dimitra Emmanouilidou. (2021). Audio-based spam call detection. The Journal of the Acoustical Society of America. 150(4_Supplement). A357–A357. 2 indexed citations
11.
Mesaros, Annamaria, Aleksandr Diment, Benjamin Elizalde, et al.. (2019). Sound Event Detection in the DCASE 2017 Challenge. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(6). 992–1006. 74 indexed citations
12.
Jiménez, Abelino, Benjamin Elizalde, & Bhiksha Raj. (2018). Acoustic Scene Classification Using Discrete Random Hashing for Laplacian Kernel Machines. 146–150. 7 indexed citations
13.
Virtanen, Tuomas, Annamaria Mesaros, Toni Heittola, et al.. (2016). Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 Workshop (DCASE2016). Trepo - Institutional Repository of Tampere University. 25 indexed citations
14.
Ashraf, Khalid, Benjamin Elizalde, Forrest Iandola, et al.. (2015). Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. 611–614. 9 indexed citations
15.
Ravanelli, Mirco, et al.. (2015). Insights into Audio-Based Multimedia Event Classification with Neural Networks. Institutional Research Information System (Università degli Studi di Trento). 19–23. 2 indexed citations
16.
Borth, Damian, Jaeyoung Choi, Benjamin Elizalde, et al.. (2015). Kickstarting the Commons. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 6 indexed citations
17.
Elizalde, Benjamin, Mirco Ravanelli, Karl Ni, Damian Borth, & Gerald Friedland. (2014). Audio-concept features and hidden Markov models for multimedia event detection.. Institutional Research Information System (Università degli Studi di Trento). 3–8. 2 indexed citations
18.
Choi, Jaeyoung, Bart Thomée, Gerald Friedland, et al.. (2014). The Placing Task. 27–31. 22 indexed citations
19.
Cheng, Hui, Jingen Liu, Saad Ali, et al.. (2012). SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.. Journal of International Crisis and Risk Communication Research. 14 indexed citations
20.
Elizalde, Benjamin, Gerald Friedland, Howard Lei, & Ajay Divakaran. (2012). There is no data like less data. 27–32. 4 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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