Robert Jenssen

6.1k citations

123 papers · 3.6k indexed · 2 hit papers · h-index 31

Impact in

Media Technology top 0.5%
- Remote-Sensing Image Classification
Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition

Papers in

Signal Processing 27
- Blind Source Separation Techniques 15
Computer Vision and Pattern Recognition 49
- Face and Expression Recognition 28
- Advanced Neural Network Applications 9

Co-authors: Michael Kampffmeyer Arnt-Børre Salberg Van Nhan Nguyen Davide Roverso Torbjørn Eltoft Filippo Maria Bianchi José C. Prı́ncipe Kristoffer Wickstrøm
Journals: Pattern Recognition (12 papers)IEEE Transactions on Neural Networks and Learning Systems (5 papers)International Journal of Remote Sensing (3 papers)Medical Image Analysis (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)
Partner nations: Norway United States Spain

In The Last Decade

Robert Jenssen

120 papers receiving 3.5k citations

Hit Papers

align trajectories log scale

Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning 2018 · 383 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 International Journal of Electrical Power & Energy Systems
2016 Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

Peers

Countries citing papers authored by Robert Jenssen

Since Specialization

Citations

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

Fields of papers citing papers by Robert Jenssen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Robert Jenssen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Jenssen Line = papers co-authored together Robert Jenssen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Interrogating Sea Ice Predictability With Gradients IEEE Geoscience and Remote Sensing Letters ·Katsuko Mochida, E Buchalter, Luigi Tommaso Luppino, Yodi Yodi, J. Scott Hosking, Robert Jenssen	2024	1
2	Deep-learning-derived input function in dynamic [18F]FDG PET imaging of mice SHILAP Revista de lepidopterología ·Alberto Beguiristain, Luigi Tommaso Luppino, N. Vavrin, Youwei Yin, Roger Lecomte, Michael Kampffmeyer, Rune Sundset, Robert Jenssen	2024	1
3	RELAX: Representation Learning Explainability International Journal of Computer Vision ·Kristoffer Wickstrøm, Isabel Pérez-Santos, Carlos A Hinojosa Becerril, Adrian Png, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen	2023	4
4	Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings Duo Research Archive (University of Oslo) ·Isabel Pérez-Santos, 孝芳石垣, 靖瓜田, Kristoffer Wickstrøm, Robert Jenssen, Michael Kampffmeyer	2023	13
5	A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Computerized Medical Imaging and Graphics ·Kristoffer Wickstrøm, Andrzej Pastwa, هاشم هاشمنژاد, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen	2023	10
6	Discriminative multimodal learning via conditional priors in generative models Neural Networks ·Aļfija Haļiullina, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen	2023	4
7	Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images IEEE Transactions on Neural Networks and Learning Systems ·Luigi Tommaso Luppino, Jacqueline Ruyak, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen	2022	100
8	Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection IEEE Transactions on Geoscience and Remote Sensing ·Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano B. Serpico, Robert Jenssen, Stian Normann Anfinsen	2021	130
9	Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms VBN Forskningsportal (Aalborg Universitet) ·Rainer Diaz-Bone Im Februar, Filippo Maria Bianchi, Jingyue Li, Rasmus Løvenstein Olsen, Robert Jenssen, Stian Normann Anfinsen	2021	2
10	Learning latent representations of bank customers with the Variational Autoencoder Duo Research Archive (University of Oslo) ·Aļfija Haļiullina, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen	2020	22
11	Deep generative models for reject inference in credit scoring Duo Research Archive (University of Oslo) ·Aļfija Haļiullina, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen	2020	37
12	Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data Computational and Mathematical Methods in Medicine ·Primož Kocbek, Nino Fijačko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uroš Maver, Petra Povalej, Andraž Stožer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Štiglic	2019	15
13	Machine learning derived input-function in a dynamic ¹⁸ F-FDG PET study of mice Biomedical Physics & Engineering Express ·Alberto Beguiristain, Kristoffer Wickstrøm, А.Р. Гураль, W. de Jonge, Connelly S.V., Ana Oteiza, Robert Jenssen, Kristin Andreassen Fenton, Rune Sundset, Jan Axelsson	2019	13
14	Understanding Convolutional Neural Network Training with Information Theory. arXiv (Cornell University) ·Shujian Yu, Robert Jenssen, José C. Prı́ncipe	2018	6
15	Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods Journal of Biomedical Informatics ·Cristina Soguero-Ruíz, Kristian Hindberg, Inmaculada Mora-Jiménez, José Luis Rojo‐Álvarez, Stein Olav Skrøvseth, Fred Godtliebsen, Kim Erlend Mortensen, Arthur Revhaug, Rolv‐Ole Lindsetmo, Knut Magne Augestad, Robert Jenssen	2016	51
16	A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines PLoS ONE ·Robert Jenssen, Marius Kloft, Alexander Zien, Sören Sonnenburg, Klaus‐Robert Müller	2012	7
17	Image analysis : 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18 : proceedings Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Arnt-Børre Salberg, Sabine Scherer, Robert Jenssen	2009	2
18	A Multi-Class Support Vector Machine Based on Scatter Criteria DepositOnce ·Robert Jenssen, Marius Kloft, Alexander Zien, Sören Sonnenburg, Klaus‐Robert Müller	2009	3
19	The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space Neural Information Processing Systems ·Robert Jenssen, Deniz Erdoğmuş, José C. Prı́ncipe, Torbjørn Eltoft	2004	28
20	Sparse Code Shrinkage Based On The Normal Inverse Gaussian Density Model Robert Jenssen, Milena Bray, (unknown), Torbjørn Eltoft, Alfred Hanssen	2001	3

About Robert Jenssen

Robert Jenssen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence and Computational Mathematics, having authored 123 papers that have together received 3.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (28 papers), Neural Networks and Applications (24 papers), Remote-Sensing Image Classification (19 papers), Blind Source Separation Techniques (15 papers), Machine Learning in Healthcare (13 papers), Domain Adaptation and Few-Shot Learning (11 papers), Advanced Clustering Algorithms Research (10 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Media Technology (841 citations), Computer Vision and Pattern Recognition (1.3k citations), Health Informatics (77 citations), Artificial Intelligence (1.2k citations) and Signal Processing (321 citations). Robert Jenssen has collaborated with scholars based in Norway, United States and Spain. Frequent co-authors include Michael Kampffmeyer, Arnt-Børre Salberg, Van Nhan Nguyen, Davide Roverso, Torbjørn Eltoft, Filippo Maria Bianchi, José C. Prı́ncipe, Kristoffer Wickstrøm, Deniz Erdoğmuş and Karl Øyvind Mikalsen. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Remote Sensing, Medical Image Analysis and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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