Joakim Andén

1.3k total citations · 1 hit paper
19 papers, 662 citations indexed

About

Joakim Andén is a scholar working on Signal Processing, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joakim Andén has authored 19 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joakim Andén's work include Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers) and ECG Monitoring and Analysis (4 papers). Joakim Andén is often cited by papers focused on Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers) and ECG Monitoring and Analysis (4 papers). Joakim Andén collaborates with scholars based in United States, France and Sweden. Joakim Andén's co-authors include Stéphane Mallat, Vincent Lostanlen, Václav Chudáček, Muriel Doret, Amit Singer, Patrice Abry, Mathieu Lagrange, Roy R. Lederman, Philip Warrick and Masun Nabhan Homsi and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Joakim Andén

19 papers receiving 634 citations

Hit Papers

Deep Scattering Spectrum 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joakim Andén United States 9 260 154 142 99 88 19 662
N. Nandhakumar United States 15 111 0.4× 97 0.6× 788 5.5× 24 0.2× 56 0.6× 65 1.1k
Khaled Daqrouq Saudi Arabia 15 356 1.4× 335 2.2× 175 1.2× 163 1.6× 299 3.4× 62 1.0k
Rishi Raj Sharma India 16 226 0.9× 112 0.7× 122 0.9× 336 3.4× 221 2.5× 62 879
Pradyut Kumar Biswal India 14 103 0.4× 64 0.4× 119 0.8× 207 2.1× 142 1.6× 58 519
L. Marple United States 7 272 1.0× 106 0.7× 134 0.9× 117 1.2× 73 0.8× 10 951
Temujin Gautama Belgium 12 187 0.7× 132 0.9× 245 1.7× 198 2.0× 46 0.5× 25 847
Aaron O'Leary Canada 2 47 0.2× 49 0.3× 57 0.4× 54 0.5× 20 0.2× 2 448
S. de Waele Netherlands 13 153 0.6× 105 0.7× 58 0.4× 86 0.9× 165 1.9× 45 709
Qiu‐Hua Lin China 16 431 1.7× 110 0.7× 176 1.2× 354 3.6× 68 0.8× 64 1.2k
S. Kadambe United States 11 360 1.4× 202 1.3× 246 1.7× 223 2.3× 325 3.7× 48 896

Countries citing papers authored by Joakim Andén

Since Specialization
Citations

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

Fields of papers citing papers by Joakim Andén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joakim Andén

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

All Works

19 of 19 papers shown
1.
Cuenca, Jacques, et al.. (2023). Sound absorption estimation of finite porous samples with deep residual learning. The Journal of the Acoustical Society of America. 154(4). 2321–2332. 6 indexed citations
2.
Warrick, Philip, Vincent Lostanlen, Michael Eickenberg, et al.. (2022). Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation. Physiological Measurement. 43(9). 94002–94002. 4 indexed citations
3.
Andén, Joakim, et al.. (2021). Learning the finite size effect for in-situ absorption measurement. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1477–1486. 2 indexed citations
4.
Warrick, Philip, et al.. (2021). Arrhythmia Classification of Reduced-Lead Electrocardiograms by Scattering-Recurrent Networks. SPIRE - Sciences Po Institutional REpository. 1–4. 5 indexed citations
5.
Warrick, Philip, et al.. (2020). Arrhythmia classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM networks. Computing in cardiology. 47. 12 indexed citations
6.
Andén, Joakim, et al.. (2020). Reducing bias and variance for CTF estimation in single particle cryo-EM. Ultramicroscopy. 212. 112950–112950. 5 indexed citations
7.
Rangan, Aaditya V., M. A. Spivak, Joakim Andén, & Alex H. Barnett. (2019). Factorization of the translation kernel for fast rigid image alignment. Inverse Problems. 36(2). 24001–24001. 6 indexed citations
8.
Lederman, Roy R., Joakim Andén, & Amit Singer. (2019). Hyper-molecules: on the representation and recovery of dynamical structures for applications in flexible macro-molecules in cryo-EM. Inverse Problems. 36(4). 44005–44005. 15 indexed citations
9.
Andén, Joakim, Vincent Lostanlen, & Stéphane Mallat. (2019). Joint Time–Frequency Scattering. IEEE Transactions on Signal Processing. 67(14). 3704–3718. 36 indexed citations
10.
Lostanlen, Vincent, Joakim Andén, & Mathieu Lagrange. (2019). Fourier at the heart of computer music: From harmonic sounds to texture. Comptes Rendus Physique. 20(5). 461–473. 5 indexed citations
11.
Lostanlen, Vincent, et al.. (2018). Relevance-based quantization of scattering features for unsupervised mining of environmental audio. EURASIP Journal on Audio Speech and Music Processing. 2018(1). 9 indexed citations
12.
Andén, Joakim, Bomyi Lim, Hang Lu, et al.. (2017). Synthesizing developmental trajectories. PLoS Computational Biology. 13(9). e1005742–e1005742. 4 indexed citations
13.
Andén, Joakim, et al.. (2015). Covariance estimation using conjugate gradient for 3D classification in CRYO-EM. PubMed. 2015. 200–204. 18 indexed citations
14.
Chudáček, Václav, Joakim Andén, Stéphane Mallat, Patrice Abry, & Muriel Doret. (2014). Scattering Transform for Intrapartum Fetal Heart Rate Variability Fractal Analysis: A Case-Control Study. IEEE Transactions on Biomedical Engineering. 61(4). 1100–1108. 53 indexed citations
15.
Andén, Joakim & Stéphane Mallat. (2014). Deep Scattering Spectrum. IEEE Transactions on Signal Processing. 62(16). 4114–4128. 375 indexed citations breakdown →
16.
Chudáček, Václav, Ronen Talmon, Joakim Andén, et al.. (2014). Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. PubMed. 2014. 6373–6376. 3 indexed citations
17.
Lagrange, Mathieu, et al.. (2013). Representing environmental sounds using the separable scattering transform. HAL (Le Centre pour la Communication Scientifique Directe). 8667–8671. 17 indexed citations
18.
Chudáček, Václav, Joakim Andén, Stéphane Mallat, Patrice Abry, & Muriel Doret. (2013). Scattering transform for intrapartum fetal heart rate characterization and acidosis detection. PubMed. 103. 2898–2901. 8 indexed citations
19.
Andén, Joakim & Stéphane Mallat. (2011). Multiscale Scattering For Audio Classification.. Zenodo (CERN European Organization for Nuclear Research). 657–662. 79 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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