Peter Smit

577 total citations
23 papers, 349 citations indexed

About

Peter Smit is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Peter Smit has authored 23 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 3 papers in Signal Processing and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Peter Smit's work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (14 papers) and Topic Modeling (7 papers). Peter Smit is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (14 papers) and Topic Modeling (7 papers). Peter Smit collaborates with scholars based in Finland, Norway and United States. Peter Smit's co-authors include Mikko Kurimo, Sámi Virpioja, Stig-Arne Grönroos, V. Bokkenheuser, N. J. Richardson, Kjell Ivar Øvergård, Reima Karhila, Juho Leinonen, Kristiina Jokinen and Aku Rouhe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Speech & Language and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Peter Smit

23 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Smit Finland 9 308 53 29 15 13 23 349
Diamantino Caseiro Portugal 12 375 1.2× 135 2.5× 41 1.4× 31 2.1× 85 6.5× 48 499
S.F. Chen United States 6 276 0.9× 71 1.3× 25 0.9× 8 0.5× 5 0.4× 8 304
Raphaël Rubino Ireland 9 206 0.7× 12 0.2× 33 1.1× 12 0.8× 33 2.5× 33 264
Jason Riesa United States 9 231 0.8× 29 0.5× 44 1.5× 13 0.9× 7 0.5× 14 250
Christophe Laprun United States 6 147 0.5× 52 1.0× 29 1.0× 14 0.9× 9 0.7× 7 195
Matthias Paulik United States 11 335 1.1× 38 0.7× 51 1.8× 10 0.7× 4 0.3× 30 348
Xutai Ma United States 10 340 1.1× 45 0.8× 46 1.6× 5 0.3× 7 0.5× 16 364
Sebastian Stüker Germany 8 235 0.8× 49 0.9× 57 2.0× 7 0.5× 6 0.5× 16 248
Josef Psutka Czechia 11 385 1.3× 187 3.5× 52 1.8× 19 1.3× 7 0.5× 54 457
Sameer Khurana United States 9 143 0.5× 80 1.5× 13 0.4× 7 0.5× 132 10.2× 23 318

Countries citing papers authored by Peter Smit

Since Specialization
Citations

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

Fields of papers citing papers by Peter Smit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Smit

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

All Works

20 of 20 papers shown
1.
Smit, Peter, Sámi Virpioja, & Mikko Kurimo. (2020). Advances in subword-based HMM-DNN speech recognition across languages. Computer Speech & Language. 66. 101158–101158. 21 indexed citations
2.
Smit, Peter, et al.. (2019). Leak Detection Experiences in the Antipodes. 1 indexed citations
3.
Smit, Peter. (2019). Modern subword-based models for automatic speech recognition. Aaltodoc (Aalto University). 1 indexed citations
4.
Smit, Peter, et al.. (2018). The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging. Aaltodoc (Aalto University). 24–28. 1 indexed citations
5.
Leinonen, Juho, Peter Smit, Sámi Virpioja, & Mikko Kurimo. (2018). New Baseline in Automatic Speech Recognition for Northern Sámi. Aaltodoc (Aalto University). 87–97. 1 indexed citations
6.
Smit, Peter, et al.. (2018). First-pass decoding with n-gram approximation of RNNLM: The problem of rare words. Aaltodoc (Aalto University). 1 indexed citations
7.
Rouhe, Aku, Reima Karhila, Peter Smit, & Mikko Kurimo. (2017). Reading validation for pronunciation evaluation in the Digitala project. Aaltodoc (Aalto University). 1 indexed citations
8.
Smit, Peter, Sámi Virpioja, & Mikko Kurimo. (2017). Improved Subword Modeling for WFST-Based Speech Recognition. Aaltodoc (Aalto University). 24 indexed citations
9.
Smit, Peter, et al.. (2017). Aalto system for the 2017 Arabic multi-genre broadcast challenge. Aaltodoc (Aalto University). 3. 338–345. 12 indexed citations
10.
Smit, Peter, Juho Leinonen, Kristiina Jokinen, & Mikko Kurimo. (2016). Automatic Speech Recognition for Northern Sámi with comparison to other Uralic Languages. Aaltodoc (Aalto University). 4 indexed citations
11.
Grönroos, Stig-Arne, et al.. (2016). Low-Resource Active Learning of Morphological Segmentation. SHILAP Revista de lepidopterología. 4. 47–72. 2 indexed citations
12.
Grönroos, Stig-Arne, Sámi Virpioja, Peter Smit, & Mikko Kurimo. (2014). Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology. International Conference on Computational Linguistics. 1177–1185. 47 indexed citations
13.
Øvergård, Kjell Ivar & Peter Smit. (2014). THE EFFECTS OF SEA EXPERIENCE AND COMPUTER CONFIDENCE ON ECDIS TRAINING. Journal of maritime research. 11(2). 25–31. 3 indexed citations
14.
Smit, Peter, Sámi Virpioja, Stig-Arne Grönroos, & Mikko Kurimo. (2014). Morfessor 2.0: Toolkit for statistical morphological segmentation. 21–24. 59 indexed citations
15.
Virpioja, Sámi, Peter Smit, Stig-Arne Grönroos, & Mikko Kurimo. (2013). Morfessor 2.0: Python Implementation and Extensions for Morfessor Baseline. Aaltodoc (Aalto University). 100 indexed citations
16.
Karhila, Reima, et al.. (2012). Creating synthetic voices for children by adapting adult average voice using stacked transformations and VTLN. Aaltodoc (Aalto University). 18. 4501–4504. 4 indexed citations
17.
Karhila, Reima, Rama Doddipatla, Mikko Kurimo, & Peter Smit. (2012). ICASSP IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 25-30, 2012. 1 indexed citations
18.
Smit, Peter. (2011). Stacked transformations for foreign accented speech recognition. Aaltodoc (Aalto University). 1 indexed citations
19.
Smit, Peter & Mikko Kurimo. (2011). Using stacked transformations for recognizing foreign accented speech. Aaltodoc (Aalto University). 7. 5008–5011. 4 indexed citations
20.
Bokkenheuser, V., Peter Smit, & N. J. Richardson. (1964). A Challenge to the Validity of the Vi Test for the Detection of Chronic Typhoid Carriers. American Journal of Public Health and the Nations Health. 54(9). 1507–1513. 19 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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