Timo Järvinen
- Artificial Intelligence top 5%
- Biomedical Engineering
- Language and Linguistics top 10%
- Information Systems
- Molecular Biology
- Co-authors
- Pasi TapanainenDavid A. AgarAtro VoutilainenCaj SödergårdLiisa LähteenmäkiMikko MyllymäkiEija AlakangasEija Kaasinen
- Topics
- Natural Language Processing Techniques (9 papers)Topic Modeling (6 papers)Speech and dialogue systems (3 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Timo Järvinen
21 papers receiving 340 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 331
- Biomedical Engineering 53
- Language and Linguistics 52
- Information Systems 40
- Molecular Biology 38
Countries citing papers authored by Timo Järvinen
This map shows the geographic impact of Timo Järvinen'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 Timo Järvinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Järvinen more than expected).
Fields of papers citing papers by Timo Järvinen
This network shows the impact of papers produced by Timo Järvinen. 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 Timo Järvinen. The network helps show where Timo Järvinen may publish in the future.
Co-authorship network of co-authors of Timo Järvinen
This figure shows the co-authorship network connecting the top 25 collaborators of Timo Järvinen. A scholar is included among the top collaborators of Timo Järvinen 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 Timo Järvinen. Timo Järvinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 57 | |
| 5 | Ruokohelven hankinta keskisuomalaisille voimalaitoksille | 1 |
| 6 | 19 | |
| 7 | Hybridmedia as a tool to deliver personalised product-specific information about food: Report of the TIVIK project | 3 |
| 8 | Automatic query expansion using random indexing | 1 |
| 9 | Integrated news publishing - Technology and user experiences: Report of the IMU2 project | 1 |
| 10 | Cofiring of wood-fuel handling and cocombustion. | 1 |
| 11 | 7 | |
| 12 | Towards an implementable dependency grammar | 30 |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 252 | |
| 18 | 18 | |
| 19 | 11 | |
| 20 | 14 |
About Timo Järvinen
Timo Järvinen is a scholar working on Artificial Intelligence, Human-Computer Interaction and Geochemistry and Petrology, having authored 21 papers that have together received 452 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Artificial Intelligence (331 citations), Language and Linguistics (52 citations) and Human-Computer Interaction (13 citations). Timo Järvinen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Pasi Tapanainen, David A. Agar, Atro Voutilainen, Caj Södergård, Liisa Lähteenmäki, Mikko Myllymäki, Eija Alakangas, Eija Kaasinen, Satu Mustjoki and Roberta Bruhn. Their work appears in journals such as Science Advances, Fuel and Computer Networks.
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.