Sharath Adavanne

1.4k total citations · 1 hit paper
10 papers, 539 citations indexed

About

Sharath Adavanne is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sharath Adavanne has authored 10 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sharath Adavanne's work include Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (4 papers). Sharath Adavanne is often cited by papers focused on Speech and Audio Processing (9 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (4 papers). Sharath Adavanne collaborates with scholars based in Finland, United Kingdom and Japan. Sharath Adavanne's co-authors include Tuomas Virtanen, Archontis Politis, Joonas Nikunen, Toni Heittola, Annamaria Mesaros, Emre Çakır, Konstantinos Drossos, Giambattista Parascandolo, Haytham M. Fayek and Ashish Kulkarni and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing and PubMed.

In The Last Decade

Sharath Adavanne

9 papers receiving 523 citations

Hit Papers

Sound Event Localization ... 2018 2026 2020 2023 2018 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
Sharath Adavanne Finland 5 473 155 109 94 68 10 539
Emre Çakır Finland 7 622 1.3× 198 1.3× 268 2.5× 100 1.1× 61 0.9× 11 729
Giambattista Parascandolo Finland 7 444 0.9× 187 1.2× 200 1.8× 84 0.9× 43 0.6× 9 580
Christopher Jacoby France 3 656 1.4× 180 1.2× 240 2.2× 150 1.6× 79 1.2× 4 787
Ricard Marxer France 13 470 1.0× 356 2.3× 100 0.9× 35 0.4× 127 1.9× 66 719
Turab Iqbal United Kingdom 9 626 1.3× 275 1.8× 321 2.9× 63 0.7× 54 0.8× 11 832
Jonathan Dennis Singapore 6 262 0.6× 106 0.7× 75 0.7× 41 0.4× 46 0.7× 16 335
Vinayak Abrol India 11 205 0.4× 101 0.7× 75 0.7× 42 0.4× 30 0.4× 53 371
Hervé Glotin France 11 438 0.9× 199 1.3× 139 1.3× 47 0.5× 45 0.7× 40 570
Romain Serizel France 13 548 1.2× 207 1.3× 106 1.0× 36 0.4× 94 1.4× 55 651
Scott Wisdom United States 13 266 0.6× 186 1.2× 76 0.7× 29 0.3× 32 0.5× 30 519

Countries citing papers authored by Sharath Adavanne

Since Specialization
Citations

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

Fields of papers citing papers by Sharath Adavanne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharath Adavanne

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

All Works

10 of 10 papers shown
2.
3.
Adavanne, Sharath. (2020). Sound Event Localization, Detection, and Tracking by Deep Neural Networks. Tampere University Institutional Repository (Tampere University). 1 indexed citations
4.
Politis, Archontis, Annamaria Mesaros, Sharath Adavanne, Toni Heittola, & Tuomas Virtanen. (2020). Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 684–698. 84 indexed citations
5.
Adavanne, Sharath, Haytham M. Fayek, & Vladimir Tourbabin. (2019). Sound Event Classification and Detection with Weakly Labeled Data. Faculty Digital Archive (New York University Florence). 15–19. 3 indexed citations
6.
Adavanne, Sharath, et al.. (2019). Acoustic Scene Classification Using Higher-Order Ambisonic Features. 12. 328–332. 4 indexed citations
7.
Mesaros, Annamaria, Sharath Adavanne, Archontis Politis, Toni Heittola, & Tuomas Virtanen. (2019). Joint Measurement of Localization and Detection of Sound Events. Trepo - Institutional Repository of Tampere University. 333–337. 44 indexed citations
8.
Adavanne, Sharath, Archontis Politis, Joonas Nikunen, & Tuomas Virtanen. (2018). Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. IEEE Journal of Selected Topics in Signal Processing. 13(1). 34–48. 328 indexed citations breakdown →
9.
Adavanne, Sharath, et al.. (2017). Assessment of support vector machines and convolutional neural networks to detect snoring using Emfit mattress. PubMed. 2017. 2883–2886. 4 indexed citations
10.
Çakır, Emre, Sharath Adavanne, Giambattista Parascandolo, Konstantinos Drossos, & Tuomas Virtanen. (2017). Convolutional recurrent neural networks for bird audio detection. 1744–1748. 66 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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