João Monteiro

447 total citations
17 papers, 165 citations indexed

About

João Monteiro is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, João Monteiro has authored 17 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in João Monteiro's work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (6 papers). João Monteiro is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (6 papers). João Monteiro collaborates with scholars based in Canada, China and Morocco. João Monteiro's co-authors include Tiago H. Falk, Jahangir Alam, Isabela Albuquerque, Ioannis Mitliagkas, Anderson R. Avila, Shian Zhang, Cheng Jiang, Jinyang Liang, Thang Doan and Zahid Akhtar and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Photonics Research.

In The Last Decade

João Monteiro

17 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Monteiro Canada 9 110 101 44 9 9 17 165
Stanislav Beliaev United States 3 132 1.2× 98 1.0× 22 0.5× 5 0.6× 7 0.8× 3 162
Jocelyn Huang United States 3 139 1.3× 102 1.0× 21 0.5× 5 0.6× 6 0.7× 4 167
Samuel Kriman United States 3 152 1.4× 101 1.0× 23 0.5× 5 0.6× 5 0.6× 5 183
Xu Xiang China 7 203 1.8× 170 1.7× 29 0.7× 5 0.6× 10 1.1× 22 246
Simon Welker Germany 8 193 1.8× 255 2.5× 34 0.8× 17 1.9× 10 1.1× 21 322
Soyeon Choe South Korea 6 263 2.4× 263 2.6× 32 0.7× 11 1.2× 5 0.6× 8 323
Christian Puhrsch United States 2 140 1.3× 116 1.1× 36 0.8× 12 1.3× 7 0.8× 2 201
Kwanghee Choi United States 7 165 1.5× 42 0.4× 83 1.9× 3 0.3× 6 0.7× 26 244
Vitaly Lavrukhin United States 6 312 2.8× 214 2.1× 44 1.0× 7 0.8× 15 1.7× 20 371

Countries citing papers authored by João Monteiro

Since Specialization
Citations

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

Fields of papers citing papers by João Monteiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Monteiro

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

All Works

17 of 17 papers shown
1.
Albuquerque, Isabela, et al.. (2022). Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment. Frontiers in Artificial Intelligence. 5. 992732–992732. 3 indexed citations
2.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2022). Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations. Speech Communication. 140. 42–49. 5 indexed citations
3.
Liu, Xianglei, João Monteiro, Isabela Albuquerque, et al.. (2021). Single-shot real-time compressed ultrahigh-speed imaging enabled by a snapshot-to-video autoencoder. Photonics Research. 9(12). 2464–2464. 12 indexed citations
4.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2020). On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification.. Language Resources and Evaluation. 3566–3572. 3 indexed citations
5.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2020). An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers. 6599–6603. 13 indexed citations
6.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2020). A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers. 296–303. 3 indexed citations
7.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2020). Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers. Computer Speech & Language. 63. 101096–101096. 42 indexed citations
8.
Albuquerque, Isabela, et al.. (2019). Adversarial target-invariant representation learning for domain generalization. arXiv (Cornell University). 14 indexed citations
9.
Monteiro, João, et al.. (2019). Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition. arXiv (Cornell University). 3 indexed citations
10.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2019). Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning. 4015–4019. 4 indexed citations
11.
Cassani, Raymundo, Isabela Albuquerque, João Monteiro, & Tiago H. Falk. (2019). AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. 1–4. 2 indexed citations
12.
Albuquerque, Isabela, et al.. (2019). Multi-objective training of Generative Adversarial Networks with multiple discriminators. arXiv (Cornell University). 202–211. 10 indexed citations
13.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2019). End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks. 12 indexed citations
14.
15.
Monteiro, João, Jahangir Alam, & Tiago H. Falk. (2019). Residual convolutional neural network with attentive feature pooling for end-to-end language identification from short-duration speech. Computer Speech & Language. 58. 364–376. 14 indexed citations
16.
Akhtar, Zahid, João Monteiro, & Tiago H. Falk. (2018). Adversarial Examples Detection Using No-Reference Image Quality Features. 1–5. 6 indexed citations
17.

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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