Anssi Kanervisto

49 total papers · 1.5k total citations
9 papers, 852 citations indexed

About

Anssi Kanervisto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Anssi Kanervisto has authored 9 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Anssi Kanervisto's work include Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Music and Audio Processing (3 papers). Anssi Kanervisto is often cited by papers focused on Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Music and Audio Processing (3 papers). Anssi Kanervisto collaborates with scholars based in Finland, Japan and United States. Anssi Kanervisto's co-authors include Maximilian Ernestus, Antonin Raffin, Adam Gleave, Ashley Hill, Ville Hautamäki, Jun Miura, Alexander M. Rush, Jeffrey Ling, Yuntian Deng and Tomi Kinnunen and has published in prestigious journals such as Journal of Machine Learning Research, IEEE/ACM Transactions on Audio Speech and Language Processing and IEEE Transactions on Games.

In The Last Decade

Anssi Kanervisto

9 papers receiving 831 citations

Hit Papers

Stable-Baselines3: Reliab... 2021 2026 2022 2024 2021 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anssi Kanervisto 340 211 187 156 108 9 852
Antonin Raffin 276 0.8× 214 1.0× 115 0.6× 154 1.0× 90 0.8× 8 741
Ashley Hill 271 0.8× 214 1.0× 118 0.6× 155 1.0× 96 0.9× 7 742
Adam Gleave 283 0.8× 208 1.0× 126 0.7× 161 1.0× 89 0.8× 8 847
Gabriel Dulac-Arnold 590 1.7× 303 1.4× 155 0.8× 128 0.8× 118 1.1× 8 987
Maximilian Ernestus 272 0.8× 206 1.0× 112 0.6× 155 1.0× 89 0.8× 3 738
Davoud Sedighizadeh 211 0.6× 245 1.2× 356 1.9× 207 1.3× 65 0.6× 15 787
I. Grondman 349 1.0× 269 1.3× 74 0.4× 204 1.3× 64 0.6× 8 838
Rania Hassan 206 0.6× 193 0.9× 89 0.5× 225 1.4× 39 0.4× 9 1.0k
Gigel Măceșanu 413 1.2× 133 0.6× 388 2.1× 148 0.9× 262 2.4× 7 1.0k
Tiberiu Cocias 413 1.2× 132 0.6× 385 2.1× 148 0.9× 261 2.4× 6 1.0k

Countries citing papers authored by Anssi Kanervisto

Since Specialization
Citations

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

Fields of papers citing papers by Anssi Kanervisto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anssi Kanervisto

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

All Works

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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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