T. Raita

35 total papers · 1.2k total citations
29 papers, 731 citations indexed

About

T. Raita is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, T. Raita has authored 29 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 5 papers in Computer Networks and Communications. Recurrent topics in T. Raita's work include Algorithms and Data Compression (22 papers), Natural Language Processing Techniques (7 papers) and Cellular Automata and Applications (6 papers). T. Raita is often cited by papers focused on Algorithms and Data Compression (22 papers), Natural Language Processing Techniques (7 papers) and Cellular Automata and Applications (6 papers). T. Raita collaborates with scholars based in Finland, United States and Israel. T. Raita's 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 and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Journal of the ACM.

In The Last Decade

T. Raita

28 papers receiving 678 citations

Author Peers

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

Author Last Decade Papers Cites
T. Raita 412 171 154 140 131 29 731
M. D. McIlroy 376 0.9× 105 0.6× 167 1.1× 125 0.9× 179 1.4× 22 705
Philip Bille 461 1.1× 111 0.6× 176 1.1× 110 0.8× 136 1.0× 45 677
JF Baldwin 322 0.8× 75 0.4× 137 0.9× 94 0.7× 170 1.3× 30 714
Ankur Taly 427 1.0× 164 1.0× 192 1.2× 56 0.4× 68 0.5× 20 798
Domagoj Vrgoč 336 0.8× 178 1.0× 131 0.9× 268 1.9× 355 2.7× 38 730
Nina Narodytska 572 1.4× 101 0.6× 73 0.5× 95 0.7× 158 1.2× 53 816
Aimilia Tzanavari 254 0.6× 52 0.3× 144 0.9× 147 1.1× 165 1.3× 16 811
Ashish Gehani 249 0.6× 238 1.4× 326 2.1× 88 0.6× 435 3.3× 71 814
Guoqing Xiao 241 0.6× 177 1.0× 141 0.9× 152 1.1× 322 2.5× 54 736
E. Koutsofios 210 0.5× 85 0.5× 240 1.6× 257 1.8× 158 1.2× 14 636

Countries citing papers authored by T. Raita

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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