Jenni Raitoharju

1.9k total citations · 2 hit papers
49 papers, 1.0k citations indexed

About

Jenni Raitoharju is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Jenni Raitoharju has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 6 papers in Water Science and Technology. Recurrent topics in Jenni Raitoharju's work include Face and Expression Recognition (8 papers), Advanced Neural Network Applications (7 papers) and Water Quality Monitoring Technologies (6 papers). Jenni Raitoharju is often cited by papers focused on Face and Expression Recognition (8 papers), Advanced Neural Network Applications (7 papers) and Water Quality Monitoring Technologies (6 papers). Jenni Raitoharju collaborates with scholars based in Finland, Denmark and Qatar. Jenni Raitoharju's co-authors include Moncef Gabbouj, Alexandros Iosifidis, Jussi Taipalmaa, Kristian Meissner, Jorge Peña Queralta, Tomi Westerlund, Hannu Tenhunen, Tuan Nguyen Gia, Serkan Kıranyaz and Johanna Ärje and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Jenni Raitoharju

43 papers receiving 991 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision

2020 288 citations Jorge Peña Queralta, Jussi Taipalmaa et al. IEEE Access profile →
Deep learning and computer vision will transform entomology

2021 268 citations Toke T. Høye, Johanna Ärje et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jenni Raitoharju Finland	15	303	232	160	137	124	49	1.0k
Gilles Venturini France	12	313 1.0×	373 1.6×	68 0.4×	145 1.1×	35 0.3×	46	967
Stefan C. Kremer Canada	18	159 0.5×	485 2.1×	166 1.0×	23 0.2×	121 1.0×	66	1.3k
Tilo Burghardt United Kingdom	19	688 2.3×	135 0.6×	50 0.3×	103 0.8×	187 1.5×	64	1.6k
Henrik Karstoft Denmark	17	214 0.7×	125 0.5×	34 0.2×	89 0.6×	50 0.4×	48	1.0k
Chen Gao China	21	265 0.9×	184 0.8×	486 3.0×	347 2.5×	29 0.2×	98	1.7k
Hongli Deng China	10	304 1.0×	116 0.5×	36 0.2×	116 0.8×	36 0.3×	39	569
Chanyoung Ju South Korea	11	209 0.7×	46 0.2×	168 1.1×	249 1.8×	14 0.1×	27	833
Chengjun Xie China	24	430 1.4×	94 0.4×	67 0.4×	34 0.2×	76 0.6×	86	2.3k
Zhihai He United States	22	981 3.2×	279 1.2×	203 1.3×	64 0.5×	162 1.3×	77	1.8k
Chenglu Wen China	32	1.2k 4.0×	211 0.9×	37 0.2×	862 6.3×	29 0.2×	121	2.8k

Countries citing papers authored by Jenni Raitoharju

Since Specialization

Citations

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

Fields of papers citing papers by Jenni Raitoharju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenni Raitoharju

This figure shows the co-authorship network connecting the top 25 collaborators of Jenni Raitoharju. A scholar is included among the top collaborators of Jenni Raitoharju 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 Jenni Raitoharju. Jenni Raitoharju 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

Raitoharju, Jenni. (2025). Generalized Reference Kernel with Negative Samples For Support Vector One-Class Classification. 1792–1796.

Raitoharju, Jenni, et al.. (2025). Convolutional autoencoder-based multimodal one-class classification. Trepo - Institutional Repository of Tampere University. 1–5.

Taipalmaa, Jussi, Jenni Raitoharju, Jorge Peña Queralta, Tomi Westerlund, & Moncef Gabbouj. (2024). On Automatic Person-in-Water Detection for Marine Search and Rescue Operations. IEEE Access. 12. 52428–52438. 7 indexed citations

Raitoharju, Jenni, et al.. (2024). Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes. Jyväskylä University Digital Archive (University of Jyväskylä). 1272–1276. 2 indexed citations

Arnold, Michael S., M. C. E. Huber, Matthias Meyer, et al.. (2023). The Riverine Organism Drift Imager: A new technology to study organism drift in rivers and streams. Methods in Ecology and Evolution. 14(9). 2341–2353. 1 indexed citations

Raitoharju, Jenni, et al.. (2023). WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8421–8429. 2 indexed citations

Ärje, Johanna, Jenni Raitoharju, Alexandros Iosifidis, et al.. (2022). Human experts vs. machines in taxa recognition. Qatar University QSpace (Qatar University). 8 indexed citations

Malik, Junaid, et al.. (2022). Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. Qatar University QSpace (Qatar University). 5 indexed citations

Iosifidis, Alexandros, et al.. (2022). Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm. SHILAP Revista de lepidopterología. 10. 100427–100427. 3 indexed citations

10.

Raitoharju, Jenni & Alexandros Iosifidis. (2022). Generalized Reference Kernel for One-class Classification. 2022 International Joint Conference on Neural Networks (IJCNN). 1–9. 2 indexed citations

11.

Høye, Toke T., Johanna Ärje, Kim Bjerge, et al.. (2021). Deep learning and computer vision will transform entomology. Proceedings of the National Academy of Sciences. 118(2). 268 indexed citations breakdown →

12.

Raitoharju, Jenni, et al.. (2021). Learning to ignore: rethinking attention in CNNs.

13.

Raitoharju, Jenni, et al.. (2020). Boosting Rare Benthic Macroinvertebrates Taxa Identification With One-Class Classification. arXiv (Cornell University). 928–933. 10 indexed citations

14.

Li, Qingqing, Jussi Taipalmaa, Jorge Peña Queralta, et al.. (2020). Towards Active Vision with UAVs in Marine Search and Rescue: Analyzing Human Detection at Variable Altitudes. Trepo - Institutional Repository of Tampere University. 65–70. 28 indexed citations

15.

Taipalmaa, Jussi, Nikolaos Passalis, Honglei Zhang, Moncef Gabbouj, & Jenni Raitoharju. (2019). High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. 1–6. 28 indexed citations

16.

Raitoharju, Jenni, Iftikhar Ahmad, Alexandros Iosifidis, et al.. (2018). Benchmark database for fine-grained image classification of benthic macroinvertebrates. Image and Vision Computing. 78. 73–83. 28 indexed citations

17.

Xu, Lei, Honglei Zhang, Jenni Raitoharju, & Moncef Gabbouj. (2018). Unsupervised Facial Image De-occlusion with Optimized Deep Generative Models. 36. 1–6. 7 indexed citations

18.

Zhang, Honglei, Jenni Raitoharju, Serkan Kıranyaz, & Moncef Gabbouj. (2016). Limited random walk algorithm for big graph data clustering. Journal Of Big Data. 3(1). 15 indexed citations

19.

Raitoharju, Jenni, Serkan Kıranyaz, & Moncef Gabbouj. (2015). Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering. IEEE Transactions on Neural Networks and Learning Systems. 27(12). 2458–2471. 42 indexed citations

20.

Joutsijoki, Henry, Kristian Meissner, Moncef Gabbouj, et al.. (2014). Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates. Ecological Informatics. 20. 1–12. 26 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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