Anssi Kanervisto

1.5k total citations · 1 hit paper
9 papers, 869 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 869 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), Music and Audio Processing (3 papers) and Speech Recognition and Synthesis (3 papers). Anssi Kanervisto is often cited by papers focused on Speech and Audio Processing (3 papers), Music and Audio Processing (3 papers) and Speech Recognition and Synthesis (3 papers). Anssi Kanervisto collaborates with scholars based in Finland, Japan and United States. Anssi Kanervisto's co-authors include Antonin Raffin, Maximilian Ernestus, Ashley Hill, Adam Gleave, Ville Hautamäki, Jun Miura, Alexander M. Rush, Yuntian Deng, Jeffrey Ling 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 846 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stable-Baselines3: Reliable Reinforcement Learning Implementations

2021 739 citations Antonin Raffin, Ashley Hill et al. Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anssi Kanervisto Finland	7	349	218	190	162	112	9	869
Ashley Hill France	4	281 0.8×	221 1.0×	121 0.6×	161 1.0×	100 0.9×	7	759
Antonin Raffin Germany	4	286 0.8×	221 1.0×	118 0.6×	160 1.0×	94 0.8×	9	758
Maximilian Ernestus Germany	3	282 0.8×	213 1.0×	115 0.6×	161 1.0×	93 0.8×	3	755
Adam Gleave United Kingdom	5	293 0.8×	215 1.0×	129 0.7×	167 1.0×	93 0.8×	8	864
Gabriel Dulac-Arnold United Kingdom	6	594 1.7×	308 1.4×	158 0.8×	131 0.8×	121 1.1×	8	1.0k
Claudiu Pozna Romania	15	364 1.0×	400 1.8×	210 1.1×	150 0.9×	94 0.8×	77	1.0k
Liefa Liao China	17	173 0.5×	268 1.2×	225 1.2×	93 0.6×	50 0.4×	42	813
Longhua Ma China	16	201 0.6×	152 0.7×	97 0.5×	200 1.2×	125 1.1×	68	698
Alexandra-Iulia Szedlak-Stinean Romania	13	363 1.0×	446 2.0×	101 0.5×	129 0.8×	52 0.5×	67	956
Haobin Shi China	18	371 1.1×	227 1.0×	433 2.3×	101 0.6×	57 0.5×	91	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

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Kanervisto, Anssi, Tomi Kinnunen, & Ville Hautamäki. (2022). GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. IEEE Transactions on Games. 15(4). 566–579. 8 indexed citations

2.

Raffin, Antonin, et al.. (2021). Stable-Baselines3: Reliable Reinforcement Learning Implementations. Journal of Machine Learning Research. 22(268). 1–8. 739 indexed citations breakdown →

3.

Kanervisto, Anssi, Ville Hautamäki, Tomi Kinnunen, & Junichi Yamagishi. (2021). Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 477–488. 8 indexed citations

4.

Kanervisto, Anssi, et al.. (2021). Multi-task Learning with Attention for End-to-end Autonomous Driving. 2896–2905. 51 indexed citations

5.

Kanervisto, Anssi, et al.. (2021). Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. 1–5. 5 indexed citations

6.

Kanervisto, Anssi, Ville Hautamäki, Tomi Kinnunen, & Junichi Yamagishi. (2020). An Initial Investigation on Optimizing Tandem Speaker Verification and Countermeasure Systems Using Reinforcement Learning. 151–158. 2 indexed citations

7.

Vrzáková, Hana, Roman Bednarik, Anssi Kanervisto, et al.. (2018). Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks. 211–216. 7 indexed citations

8.

Deng, Yuntian, Anssi Kanervisto, Jeffrey Ling, & Alexander M. Rush. (2017). Image-to-Markup Generation with Coarse-to-Fine Attention. International Conference on Machine Learning. 980–989. 42 indexed citations

9.

Kanervisto, Anssi, Ville Vestman, Md Sahidullah, Ville Hautamäki, & Tomi Kinnunen. (2017). Effects of gender information in text-independent and text-dependent speaker verification. 5360–5364. 7 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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