Tomi Räty

585 total citations
41 papers, 373 citations indexed

About

Tomi Räty is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomi Räty has authored 41 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomi Räty's work include Software Testing and Debugging Techniques (8 papers), Video Surveillance and Tracking Methods (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Tomi Räty is often cited by papers focused on Software Testing and Debugging Techniques (8 papers), Video Surveillance and Tracking Methods (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Tomi Räty collaborates with scholars based in Finland, Germany and United States. Tomi Räty's co-authors include Pekka Aho, Mikko Nieminen, Hannu Reittu, David Culler, Tyler Hoyt, Ina Schieferdecker, Ilkka Norros, Mikko Lindholm, Matthieu Molinier and Heikki Astola and has published in prestigious journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE/CAA Journal of Automatica Sinica and The Journal of Supercomputing.

In The Last Decade

Tomi Räty

37 papers receiving 350 citations

Peers

Tomi Räty
Murali Emani United States
Yao Deng China
Huafeng Yu United States
Tomi Räty
Citations per year, relative to Tomi Räty Tomi Räty (= 1×) peers Stéphane Durocher

Countries citing papers authored by Tomi Räty

Since Specialization
Citations

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

Fields of papers citing papers by Tomi Räty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomi Räty

This figure shows the co-authorship network connecting the top 25 collaborators of Tomi Räty. A scholar is included among the top collaborators of Tomi Räty 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 Tomi Räty. Tomi Räty 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.
Reittu, Hannu, et al.. (2023). A network community detection method with integration of data from multiple layers and node attributes. Network Science. 11(3). 374–396. 2 indexed citations
2.
Räty, Tomi, et al.. (2023). A New Elbow Estimation Method for Selecting the Best Solution in Sparse Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 4328–4348. 1 indexed citations
3.
Räty, Tomi, et al.. (2021). Assessment of the Clusterability of Data Using a Multimodal Convolutional Neural Network. IEEE Transactions on Artificial Intelligence. 3(3). 355–369.
4.
Räty, Tomi, et al.. (2020). Automatic optimization of outlier detection ensembles using a limited number of outlier examples. International Journal of Data Science and Analytics. 10(4). 377–394. 9 indexed citations
5.
Norros, Ilkka, et al.. (2020). Origin-destination matrix estimation with a conditionally binomial model. European Transport Research Review. 12(1). 1 indexed citations
6.
Räty, Tomi, et al.. (2019). Self-learning of multivariate time series using perceptually important points. IEEE/CAA Journal of Automatica Sinica. 6(6). 1318–1331. 12 indexed citations
7.
Reittu, Hannu, et al.. (2019). Towards analyzing large graphs with quantum annealing. 1. 2457–2464. 4 indexed citations
8.
Molinier, Matthieu, Heikki Astola, Tomi Räty, & Curtis E. Woodcock. (2018). Timely And Semi-Automatic Detection of Forest Logging Events in Boreal Forest Using All Available Landsat Data. 9. 1730–1733. 4 indexed citations
9.
Reittu, Hannu, et al.. (2018). Analysis of large sparse graphs using regular decomposition of graph distance matrices. arXiv (Cornell University). 48. 3784–3792. 5 indexed citations
10.
Räty, Tomi, et al.. (2014). A modelling approach for monitoring sequence activities in diverse environments. 33–38. 3 indexed citations
11.
Aho, Pekka, et al.. (2013). Dynamic reverse engineering of GUI models for testing. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 441–447. 7 indexed citations
12.
Räty, Tomi, et al.. (2012). Automatic creation of models for network intrusion detection. 231–237.
13.
Räty, Tomi, et al.. (2012). Testing and validating activity models for network intrusion detection. 723–728. 2 indexed citations
14.
Nieminen, Mikko & Tomi Räty. (2009). Representing user definable rules for decision making in The Single Location Surveillance Point. 113–120. 6 indexed citations
15.
Räty, Tomi, et al.. (2009). Adaptive Real-Time Video Streaming System for Best-Effort IP Networks. 3. 131–137. 1 indexed citations
16.
Nieminen, Mikko, Tomi Räty, & Mikko Lindholm. (2009). Multi-sensor Logical Decision Making in the Single Location Surveillance Point System. 152. 86–90. 8 indexed citations
17.
Räty, Tomi, et al.. (2008). Testing and validation of a multi-sensor distributed surveillance system. 89. 1–6. 1 indexed citations
20.
Nieminen, Mikko, et al.. (2006). Active Service Quality Management in ASEMA system. 14–14. 1 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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