Toni Laitinen
- Human-Computer Interaction top 2%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Developmental and Educational Psychology
- Co-authors
- Giulio JacucciGabriela T. RichardLorenza ParisiAnn MorrisonPeter PeltonenMarko TurpeinenPerttu HämäläinenIlkka Kosunen
- Topics
- Industrial Vision Systems and Defect Detection (4 papers)Interactive and Immersive Displays (2 papers)Image and Object Detection Techniques (2 papers)
- Journals
- Machine Vision and ApplicationsOPUS (Augsburg University)VBN Forskningsportal (Aalborg Universitet)
In The Last Decade
Toni Laitinen
9 papers receiving 282 citations
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 175
- Cognitive Neuroscience 88
- Computer Vision and Pattern Recognition 71
- Experimental and Cognitive Psychology 38
- Developmental and Educational Psychology 34
Countries citing papers authored by Toni Laitinen
This map shows the geographic impact of Toni Laitinen'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 Toni Laitinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toni Laitinen more than expected).
Fields of papers citing papers by Toni Laitinen
This network shows the impact of papers produced by Toni Laitinen. 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 Toni Laitinen. The network helps show where Toni Laitinen may publish in the future.
Co-authorship network of co-authors of Toni Laitinen
This figure shows the co-authorship network connecting the top 25 collaborators of Toni Laitinen. A scholar is included among the top collaborators of Toni Laitinen 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 Toni Laitinen. Toni Laitinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 106 | |
| 3 | Listen to Yourself and Others - Multiuser Mobile Biosignal Sonification Platform EMOListen | 4 |
| 4 | 7 | |
| 5 | 79 | |
| 6 | 3 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | An Automated System For Metal Strip Inspection. | 3 |
About Toni Laitinen
Toni Laitinen is a scholar working on Medical Laboratory Technology, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 9 papers that have together received 300 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Interactive and Immersive Displays (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (175 citations), Cognitive Neuroscience (88 citations) and Computer Vision and Pattern Recognition (71 citations). Toni Laitinen has collaborated with scholars based in Finland, Italy and Germany. Frequent co-authors include Giulio Jacucci, Gabriela T. Richard, Lorenza Parisi, Ann Morrison, Peter Peltonen, Marko Turpeinen, Perttu Hämäläinen, Ilkka Kosunen, Kai Kuikkaniemi and Timo Saari. Their work appears in journals such as Machine Vision and Applications, OPUS (Augsburg University) and VBN Forskningsportal (Aalborg Universitet).
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.