Teemu Hirsimäki

21 total papers · 851 total citations
20 papers, 647 citations indexed

About

Teemu Hirsimäki is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Teemu Hirsimäki has authored 20 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 1 paper in Signal Processing and 1 paper in Computational Theory and Mathematics. Recurrent topics in Teemu Hirsimäki's work include Speech Recognition and Synthesis (17 papers), Natural Language Processing Techniques (16 papers) and Speech and dialogue systems (9 papers). Teemu Hirsimäki is often cited by papers focused on Speech Recognition and Synthesis (17 papers), Natural Language Processing Techniques (16 papers) and Speech and dialogue systems (9 papers). Teemu Hirsimäki collaborates with scholars based in Finland, United Kingdom and Switzerland. Teemu Hirsimäki's co-authors include Mikko Kurimo, Vesa Siivola, Janne Pylkkönen, Mathias Creutz, Sámi Virpioja, Ebru Arısoy, Antti Puurula, Murat Saraçlar, Bill Byrne and Andreas Stolcke and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Teemu Hirsimäki

18 papers receiving 507 citations

Author Peers

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

Author						Papers	Cites
Teemu Hirsimäki	586	130	33	30	28	20	647
Martin Jansche	627 1.1×	132 1.0×	57 1.7×	21 0.7×	53 1.9×	39	724
F. Alleva	469 0.8×	262 2.0×	93 2.8×	21 0.7×	13 0.5×	14	559
James K. Baker	475 0.8×	59 0.5×	57 1.7×	12 0.4×	38 1.4×	12	610
Mikio Yamamoto	543 0.9×	284 2.2×	66 2.0×	23 0.8×	64 2.3×	45	688
Ozan İrsoy	502 0.9×	93 0.7×	63 1.9×	13 0.4×	55 2.0×	14	657
Jerome R. Bellegarda	535 0.9×	195 1.5×	61 1.8×	42 1.4×	26 0.9×	50	616
Kevin Lenzo	598 1.0×	135 1.0×	42 1.3×	73 2.4×	32 1.1×	27	670
Fuliang Weng	567 1.0×	92 0.7×	62 1.9×	25 0.8×	116 4.1×	48	668
Jim Hunter	560 1.0×	129 1.0×	107 3.2×	17 0.6×	56 2.0×	33	765
Johan Schalkwyk	448 0.8×	178 1.4×	62 1.9×	38 1.3×	23 0.8×	41	577

Countries citing papers authored by Teemu Hirsimäki

Since Specialization

Citations

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

Fields of papers citing papers by Teemu Hirsimäki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teemu Hirsimäki

This figure shows the co-authorship network connecting the top 25 collaborators of Teemu Hirsimäki. A scholar is included among the top collaborators of Teemu Hirsimäki 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 Teemu Hirsimäki. Teemu Hirsimäki 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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