Jorma Laaksonen
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Media Technology top 0.5%
- Signal Processing top 2%
- Atmospheric Science top 10%
- Co-authors
- Erkki OjaTeuvo KohonenMarkus KoskelaJari KangasJohanna HynninenFahad Shahbaz KhanRao Muhammad AnwerMatthieu Molinier
- Topics
- Advanced Image and Video Retrieval Techniques (67 papers)Image Retrieval and Classification Techniques (56 papers)Video Analysis and Summarization (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingPattern Recognition
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Jorma Laaksonen
149 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 1.0k
- Media Technology 485
- Signal Processing 282
- Atmospheric Science 193
Countries citing papers authored by Jorma Laaksonen
This map shows the geographic impact of Jorma Laaksonen'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 Jorma Laaksonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorma Laaksonen more than expected).
Fields of papers citing papers by Jorma Laaksonen
This network shows the impact of papers produced by Jorma Laaksonen. 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 Jorma Laaksonen. The network helps show where Jorma Laaksonen may publish in the future.
Co-authorship network of co-authors of Jorma Laaksonen
This figure shows the co-authorship network connecting the top 25 collaborators of Jorma Laaksonen. A scholar is included among the top collaborators of Jorma Laaksonen 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 Jorma Laaksonen. Jorma Laaksonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 57 | |
| 7 | Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization | 1 |
| 8 | 236 | |
| 9 | 3 | |
| 10 | 49 | |
| 11 | 18 | |
| 12 | Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion | 2 |
| 13 | Proceedings of the 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining | 12 |
| 14 | Annotated Video Corpus of FinSL with Kinect and Computer-Vision Data | 4 |
| 15 | SLMotion - An extensible sign language oriented video analysis tool | 6 |
| 16 | S-pot - a benchmark in spotting signs within continuous signing | 10 |
| 17 | Estimating head pose and state of facial elements for sign language video | 1 |
| 18 | Comparing computer vision analysis of signed language video with motion capture recordings | 4 |
| 19 | 2 | |
| 20 | PicSOM Experiments in TRECVID 2005 | 2 |
About Jorma Laaksonen
Jorma Laaksonen is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 161 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (67 papers), Image Retrieval and Classification Techniques (56 papers) and Video Analysis and Summarization (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (485 citations) and Artificial Intelligence (1.0k citations). Jorma Laaksonen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Erkki Oja, Teuvo Kohonen, Markus Koskela, Jari Kangas, Johanna Hynninen, Fahad Shahbaz Khan, Rao Muhammad Anwer, Matthieu Molinier, Joost van de Weijer and K. Torkkola. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition.
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.