T. Raita
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Harri HakonenLasse BergrothAbraham BooksteinVladimir KulyukinShmuel T. KleinJyrki KatajainenMartti JuholaJukka Teuhola
- Topics
- Algorithms and Data Compression (22 papers)Natural Language Processing Techniques (7 papers)Cellular Automata and Applications (6 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingJournal of the ACM
- Partner nations
- FinlandUnited StatesIsrael
In The Last Decade
T. Raita
28 papers receiving 680 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 409
- Signal Processing 172
- Information Systems 154
- Computer Vision and Pattern Recognition 141
- Computer Networks and Communications 133
Countries citing papers authored by T. Raita
This map shows the geographic impact of T. Raita'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 T. Raita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Raita more than expected).
Fields of papers citing papers by T. Raita
This network shows the impact of papers produced by T. Raita. 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 T. Raita. The network helps show where T. Raita may publish in the future.
Co-authorship network of co-authors of T. Raita
This figure shows the co-authorship network connecting the top 25 collaborators of T. Raita. A scholar is included among the top collaborators of T. Raita 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 T. Raita. T. Raita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Appendix - An Improved Insert Sort Algorithms | 1 |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 390 | |
| 7 | 1 | |
| 8 | 103 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 28 | |
| 14 | 14 | |
| 15 | Detecting Content-Bearing Words by Serial Clustering. | 12 |
| 16 | 4 | |
| 17 | 54 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 2 |
About T. Raita
T. Raita is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics, having authored 29 papers that have together received 733 indexed citations. Recurring topics across this work include Algorithms and Data Compression (22 papers), Natural Language Processing Techniques (7 papers) and Cellular Automata and Applications (6 papers). The work is most often cited by research in Signal Processing (172 citations), Artificial Intelligence (409 citations) and Hardware and Architecture (83 citations). T. Raita has collaborated with scholars based in Finland, United States and Israel. Frequent co-authors include Harri Hakonen, Lasse Bergroth, Abraham Bookstein, Vladimir Kulyukin, Shmuel T. Klein, Jyrki Katajainen, Martti Juhola, Jukka Teuhola, John Nicholson and Olli Nevalainen. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Journal of the ACM.
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.