J. Sauvola
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 1%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Matti PietikäinenJun‐Zhao SunTapio SeppänenJukka RiekkiDavid DoermannOleg OkunErkki HarjulaMika Ylianttila
- Topics
- Mobile Agent-Based Network Management (14 papers)IPv6, Mobility, Handover, Networks, Security (12 papers)Handwritten Text Recognition Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Networks and Communications
- Partner nations
- FinlandUnited StatesBelarus
In The Last Decade
J. Sauvola
43 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 1.4k
- Media Technology 434
- Computer Networks and Communications 250
- Electrical and Electronic Engineering 207
- Artificial Intelligence 176
Countries citing papers authored by J. Sauvola
This map shows the geographic impact of J. Sauvola'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 J. Sauvola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Sauvola more than expected).
Fields of papers citing papers by J. Sauvola
This network shows the impact of papers produced by J. Sauvola. 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 J. Sauvola. The network helps show where J. Sauvola may publish in the future.
Co-authorship network of co-authors of J. Sauvola
This figure shows the co-authorship network connecting the top 25 collaborators of J. Sauvola. A scholar is included among the top collaborators of J. Sauvola 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 J. Sauvola. J. Sauvola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Future of software development with generative AIbreakdown → | 35 |
| 2 | 36 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | Enabling Context-Aware Services for Mobile Users | 1 |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 159 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | Adaptive document image binarizationbreakdown → | 1553 |
| 18 | 23 | |
| 19 | 1 | |
| 20 | 4 |
About J. Sauvola
J. Sauvola is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Media Technology, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (14 papers), IPv6, Mobility, Handover, Networks, Security (12 papers) and Handwritten Text Recognition Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (434 citations) and Computer Networks and Communications (250 citations). J. Sauvola has collaborated with scholars based in Finland, United States and Belarus. Frequent co-authors include Matti Pietikäinen, Jun‐Zhao Sun, Tapio Seppänen, Matti Pietikäinen, Jukka Riekki, David Doermann, Oleg Okun, Erkki Harjula, Mika Ylianttila and Marko Jurmu. Their work appears in journals such as Pattern Recognition, Computer and IEEE Wireless Communications.
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.