World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6544
World Ranking
10663
National Ranking
34

Robert Jenssen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Robert Jenssen sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Robert Jenssen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Robert Jenssen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Robert Jenssen is affiliated with the University of Tromsø - The Arctic University of Norway. Their research primarily focuses on computer science, with an emphasis on artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, signal processing, and media technology.

Their work spans multiple topics, including:

  • Machine Learning in Healthcare
  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning
  • Time Series Analysis and Forecasting
  • Advanced Neural Network Applications
  • Explainable Artificial Intelligence (XAI)
  • Remote-Sensing Image Classification

Robert Jenssen has contributed to several recent research papers, including:

  • Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Dense Dilated Convolutions' Merging Network for Land Cover Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels, 2022, Medical Image Analysis
  • Mixing up contrastive learning: Self-supervised representation learning for time series, 2022, Pattern Recognition Letters

Frequent coauthors collaborating with Jenssen include:

  • Michael Kampffmeyer
  • Kristoffer Wickstrøm
  • Karl Øyvind Mikalsen
  • Shujian Yu
  • Sigurd Løkse

Their research has been published in leading venues, with multiple contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Pattern Recognition
  • Expert Systems with Applications
  • IEEE Transactions on Geoscience and Remote Sensing

Best Publications

  • Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

    Michael Kampffmeyer;Arnt-Borre Salberg;Robert Jenssen

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

    Van Nhan Nguyen;Robert Jenssen;Davide Roverso

  • Kernel Entropy Component Analysis

    R. Jenssen

  • An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

    Filippo Maria Bianchi;Enrico Maiorino;Michael C. Kampffmeyer;Antonello Rizzi

  • Recurrent Neural Networks for Short-Term Load Forecasting

    Filippo Maria Bianchi;Enrico Maiorino;Michael C. Kampffmeyer;Antonello Rizzi

  • Intelligent Monitoring and Inspection of Power Line Components Powered by UAVs and Deep Learning

    Van Nhan Nguyen;Robert Jenssen;Davide Roverso

  • Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.

    Kristoffer Wickstrøm;Michael Kampffmeyer;Robert Jenssen

  • Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

    Luigi Tommaso Luppino;Michael Kampffmeyer;Filippo Maria Bianchi;Gabriele Moser

  • Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels

    Unknown

  • Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection.

    Luigi Tommaso Luppino;Michael Kampffmeyer;Filippo Maria Bianchi;Gabriele Moser

  • The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels

    Robert Jenssen;Jose C. Principe;Deniz Erdogmus;Torbjørn Eltoft

  • Clustering using Renyi's entropy

    R. Jenssen;K.E. Hild;D. Erdogmus;J.C. Principe

  • Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.

    Luigi Tommaso Luppino;Mads A. Hansen;Michael Kampffmeyer;Filippo Maria Bianchi

  • Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

    Filippo Maria Bianchi;Simone Scardapane;Sigurd Lokse;Robert Jenssen

  • Dense Dilated Convolutions’ Merging Network for Land Cover Classification

    Qinghui Liu;Michael Kampffmeyer;Robert Jenssen;Arnt-Borre Salberg

  • Time series cluster kernel for learning similarities between multivariate time series with missing data

    Karl Øyvind Mikalsen;Filippo Maria Bianchi;Cristina Soguero-Ruiz;Robert Jenssen

  • Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records

    Cristina Soguero-Ruiz;Kristian Hindberg;Jose Luis Rojo-Alvarez;Stein Olav Skrovseth

  • Spectral Clustering of Polarimetric SAR Data with the Wishart-Derived Distance Measures

    Stian Normann Anfinsen;Robert Jenssen;Torbjørn Eltoft

  • Reconsidering Representation Alignment for Multi-view Clustering

    Daniel J. Trosten;Sigurd Lokse;Robert Jenssen;Michael Kampffmeyer

  • Independent component analysis for texture segmentation

    Robert Jenssen;Torbjørn Eltoft

  • Mean shift spectral clustering

    Umut Ozertem;Deniz Erdogmus;Robert Jenssen

  • Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

    Cristina Soguero-Ruiz;Kristian Hindberg;Inmaculada Mora-Jiménez;José Luis Rojo-Álvarez

  • UNCERTAINTY MODELING AND INTERPRETABILITY IN CONVOLUTIONAL NEURAL NETWORKS FOR POLYP SEGMENTATION

    Kristoffer Wickstrom;Michael Kampffmeyer;Robert Jenssen

  • Proceedings of the 16th Scandinavian Conference on Image Analysis

    Arnt-Børre Salberg;Jon Yngve Hardeberg;Robert Jenssen

Frequent Co-Authors

Jose C. Principe
Jose C. Principe University of Florida
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Gabriele Moser
Gabriele Moser University of Genoa
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Sebastiano B. Serpico
Sebastiano B. Serpico University of Genoa
Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Cesare Alippi
Cesare Alippi Polytechnic University of Milan
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Marius Kloft
Marius Kloft Technical University of Kaiserslautern

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