Jorma Laaksonen

6.5k total citations
161 papers, 3.0k citations indexed

About

Jorma Laaksonen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jorma Laaksonen has authored 161 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 21 papers in Signal Processing. Recurrent topics in Jorma Laaksonen's work include Advanced Image and Video Retrieval Techniques (67 papers), Image Retrieval and Classification Techniques (56 papers) and Video Analysis and Summarization (29 papers). Jorma Laaksonen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (67 papers), Image Retrieval and Classification Techniques (56 papers) and Video Analysis and Summarization (29 papers). Jorma Laaksonen collaborates with scholars based in Finland, United States and Sweden. Jorma Laaksonen's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition.

In The Last Decade

Jorma Laaksonen

149 papers receiving 2.7k citations

Peers

Jorma Laaksonen

CVPR

Ruby C. Weng Taiwan

Quansen Sun China

Xiao Bai China

Ji‐Xiang Du China

Ethem Alpaydın Türkiye

Xuming He China

A. Khotanzad United States

Chi‐Man Pun Macao

Yu‐Jin Zhang China

Tom White United Kingdom

Ruby C. Weng Taiwan

Jorma Laaksonen

1.1k ×0.6

CVPR

1.3k ×1.3

387 ×0.8

317 ×1.1

201 ×1.0

Citations per year, relative to Jorma Laaksonen Jorma Laaksonen (= 1×) peers Ruby C. Weng

Countries citing papers authored by Jorma Laaksonen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Cao, Min, et al.. (2025). Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening. Aaltodoc (Aalto University). 3(1). 2 indexed citations

Radman, Abduljalil, et al.. (2025). Prompt-based Weakly-supervised Vision-language Pre-training. Pattern Recognition Letters. 197. 8–15. 1 indexed citations

Radman, Abduljalil & Jorma Laaksonen. (2024). AS-Net: active speaker detection using deep audio-visual attention. Multimedia Tools and Applications. 83(28). 72027–72042. 1 indexed citations

Mõttus, Matti, et al.. (2022). TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 9 indexed citations

Laaksonen, Jorma, et al.. (2022). CLIP4IDC: CLIP for Image Difference Captioning. 33–42. 7 indexed citations

Margutti, Jacopo, et al.. (2020). Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment. Remote Sensing. 12(17). 2839–2839. 57 indexed citations

Troncy, Raphaël, et al.. (2020). Using Fan-Made Content, Subtitles and Face Recognition for Character-Centric Video Summarization. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

Anwer, Rao Muhammad, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, & Jorma Laaksonen. (2018). Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification. ISPRS Journal of Photogrammetry and Remote Sensing. 138. 74–85. 236 indexed citations

Laaksonen, Jorma, et al.. (2018). Film Mood and Its Quantitative Determinants in Different Types of Scenes. IEEE Transactions on Affective Computing. 11(2). 313–326. 3 indexed citations

10.

Shetty, Rakshith, et al.. (2017). Paying Attention to Descriptions Generated by Image Captioning Models. Journal of International Crisis and Risk Communication Research. 2506–2515. 49 indexed citations

11.

Tavakoli, Hamed R., Fawad Ahmed, Ali Borji, & Jorma Laaksonen. (2017). Saliency Revisited: Analysis of Mouse Movements Versus Fixations. Journal of International Crisis and Risk Communication Research. 6354–6362. 18 indexed citations

12.

Shetty, Rakshith, Hamed R. Tavakoli, & Jorma Laaksonen. (2016). Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion. 2 indexed citations

13.

Jantunen, Tommi, et al.. (2016). Proceedings of the 7th Workshop on the Representation and Processing of Sign Languages: Corpus Mining. Language Resources and Evaluation. 12 indexed citations

14.

Jantunen, Tommi, et al.. (2016). Annotated Video Corpus of FinSL with Kinect and Computer-Vision Data. Language Resources and Evaluation. 4 indexed citations

15.

Viitaniemi, Ville, et al.. (2014). SLMotion - An extensible sign language oriented video analysis tool. Language Resources and Evaluation. 1886–1891. 6 indexed citations

16.

Viitaniemi, Ville, et al.. (2014). S-pot - a benchmark in spotting signs within continuous signing. Language Resources and Evaluation. 1892–1897. 10 indexed citations

17.

Viitaniemi, Ville, et al.. (2014). Estimating head pose and state of facial elements for sign language video. Language Resources and Evaluation. 1 indexed citations

18.

Jantunen, Tommi, et al.. (2012). Comparing computer vision analysis of signed language video with motion capture recordings. Language Resources and Evaluation. 2421–2425. 4 indexed citations

19.

Laaksonen, Jorma, et al.. (2010). Fundus Image Analysis Using Subspace Classifier and its Performance. 2010. 146–151. 2 indexed citations

20.

Koskela, Markus, Mats Sjöberg, Ville Viitaniemi, & Jorma Laaksonen. (2005). PicSOM Experiments in TRECVID 2005. TRECVID. 2 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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