Miikka Silfverberg

947 total citations
46 papers, 325 citations indexed

About

Miikka Silfverberg is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miikka Silfverberg has authored 46 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miikka Silfverberg's work include Natural Language Processing Techniques (42 papers), Topic Modeling (33 papers) and Speech and dialogue systems (10 papers). Miikka Silfverberg is often cited by papers focused on Natural Language Processing Techniques (42 papers), Topic Modeling (33 papers) and Speech and dialogue systems (10 papers). Miikka Silfverberg collaborates with scholars based in United States, Finland and Canada. Miikka Silfverberg's co-authors include Mans Hulden, Krister Lindén, Garrett Nicolai, Mikko Kurimo, Ryan Cotterell, Arya D. McCarthy, Ekaterina Vylomova, Francis M. Tyers, David Yarowsky and Katharina Kann and has published in prestigious journals such as Language Resources and Evaluation, Meeting of the Association for Computational Linguistics and Työväentutkimus Vuosikirja.

In The Last Decade

Miikka Silfverberg

43 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miikka Silfverberg United States	9	281	57	23	22	18	46	325
Stephen Tratz United States	12	370 1.3×	38 0.7×	14 0.6×	16 0.7×	6 0.3×	33	430
Ann Irvine United States	14	406 1.4×	72 1.3×	7 0.3×	4 0.2×	3 0.2×	23	454
Stephan Gouws South Africa	8	449 1.6×	70 1.2×	10 0.4×	4 0.2×	4 0.2×	9	484
Oren Melamud Israel	8	410 1.5×	44 0.8×	8 0.3×	2 0.1×	3 0.2×	14	458
Kenneth C. Litkowski United States	11	465 1.7×	19 0.3×	11 0.5×	2 0.1×	4 0.2×	27	501
Daniele Pighin Italy	11	380 1.4×	26 0.5×	8 0.3×	3 0.1×	3 0.2×	32	397
Houda Bouamor Qatar	14	677 2.4×	34 0.6×	16 0.7×	4 0.2×	10 0.6×	53	711
Rotem Dror Israel	9	366 1.3×	57 1.0×	7 0.3×	3 0.1×	4 0.2×	13	427
Benjamin Börschinger Australia	7	257 0.9×	42 0.7×	10 0.4×		3 0.2×	13	297
Camelia Ignat Italy	7	422 1.5×	24 0.4×	28 1.2×	6 0.3×	28 1.6×	12	457

Countries citing papers authored by Miikka Silfverberg

Since Specialization

Citations

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

Fields of papers citing papers by Miikka Silfverberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miikka Silfverberg

This figure shows the co-authorship network connecting the top 25 collaborators of Miikka Silfverberg. A scholar is included among the top collaborators of Miikka Silfverberg 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 Miikka Silfverberg. Miikka Silfverberg 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:

20 of 20 papers shown

1.

Silfverberg, Miikka, et al.. (2024). How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction. 231–241. 2 indexed citations

2.

Palmer, Alexis, et al.. (2023). Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing. 186–201. 2 indexed citations

3.

Yang, Changbing, et al.. (2023). An Investigation of Noise in Morphological Inflection. 3351–3365. 1 indexed citations

4.

Nicolai, Garrett, et al.. (2023). Glossy Bytes: Neural Glossing using Subword Encoding. 222–229. 1 indexed citations

5.

Nicolai, Garrett, et al.. (2022). Impact of Sequence Length and Copying on Clause-Level Inflection. 106–114.

6.

Silfverberg, Miikka, et al.. (2022). One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes. 31–40. 3 indexed citations

7.

Zampieri, Marcos, Shervin Malmasi, Yves Scherrer, et al.. (2019). A Report on the Third. 1–16. 23 indexed citations

8.

Silfverberg, Miikka, et al.. (2018). A Computational Model for the Linguistic Notion of Morphological Paradigm. Työväentutkimus Vuosikirja. 1615–1626. 7 indexed citations

9.

Cox, Christopher, et al.. (2018). A Computational Architecture for the Morphology of Upper Tanana. Language Resources and Evaluation. 2 indexed citations

10.

Silfverberg, Miikka, et al.. (2018). Sub-label dependencies for neural morphological tagging--the joint submission of University of Colorado and University of Helsinki for VarDial 2018. International Conference on Computational Linguistics. 37–45. 2 indexed citations

11.

Cotterell, Ryan, Christo Kirov, John Sylak-Glassman, et al.. (2018). The. 1–27. 41 indexed citations

12.

Silfverberg, Miikka. (2018). Sound Analogies with Phoneme Embeddings. University of Massachusetts (UMass) Amherst. 1(1). 136–144. 17 indexed citations

13.

Silfverberg, Miikka & Mans Hulden. (2017). Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources. 140–145. 1 indexed citations

14.

Hulden, Mans, et al.. (2015). Kernel Density Estimation for Text-Based Geolocation. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 41 indexed citations

15.

Lindén, Krister, et al.. (2014). Heuristic Hyper-minimization of Finite State Lexicons. Language Resources and Evaluation. 3319–3324. 1 indexed citations

16.

Hulden, Mans & Miikka Silfverberg. (2014). Finite-state subset approximation of phrase structure.. 2 indexed citations

17.

Pirinen, Tommi A., Miikka Silfverberg, & Krister Lindén. (2012). Improving Finite-State Spell-Checker Suggestions with Part of Speech N-Grams. Työväentutkimus Vuosikirja. 4 indexed citations

18.

Silfverberg, Miikka, et al.. (2011). Improving Predictive Entry of Finnish Text Messages using IRC Logs. 69–76. 1 indexed citations

19.

Koskenniemi, Kimmo & Miikka Silfverberg. (2010). A Method for Compiling Two-Level Rules with Multiple Contexts. Meeting of the Association for Computational Linguistics. 38–45. 3 indexed citations

20.

Silfverberg, Miikka & Krister Lindén. (2009). HFST runtime format: A compacted transducer format allowing for fast lookup. Työväentutkimus Vuosikirja. 56(1). 63–6. 2 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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