Arnt-Børre Salberg

2.3k total citations · 1 hit paper
64 papers, 1.6k citations indexed

About

Arnt-Børre Salberg is a scholar working on Ecology, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Arnt-Børre Salberg has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Environmental Engineering. Recurrent topics in Arnt-Børre Salberg's work include Remote Sensing and LiDAR Applications (12 papers), Remote-Sensing Image Classification (12 papers) and Remote Sensing in Agriculture (10 papers). Arnt-Børre Salberg is often cited by papers focused on Remote Sensing and LiDAR Applications (12 papers), Remote-Sensing Image Classification (12 papers) and Remote Sensing in Agriculture (10 papers). Arnt-Børre Salberg collaborates with scholars based in Norway, United States and Spain. Arnt-Børre Salberg's co-authors include Robert Jenssen, Michael Kampffmeyer, Qinghui Liu, Line Eikvil, Anne H. Schistad Solberg, Nils Olav Handegard, Ketil Malde, Øivind Due Trier, Ananthram Swami and Anders U. Waldeland and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Arnt-Børre Salberg

62 papers receiving 1.5k citations

Hit Papers

Semantic Segmentation of Small Objects and Modeling of Un... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnt-Børre Salberg Norway 17 461 460 317 309 260 64 1.6k
Jens Leitloff Germany 15 558 1.2× 288 0.6× 433 1.4× 227 0.7× 549 2.1× 38 1.9k
Rupert Müller Germany 23 568 1.2× 780 1.7× 394 1.2× 218 0.7× 359 1.4× 149 1.9k
Vassilia Karathanassi Greece 19 116 0.3× 352 0.8× 276 0.9× 352 1.1× 247 0.9× 85 1.4k
Carl Salvaggio United States 14 376 0.8× 659 1.4× 568 1.8× 347 1.1× 567 2.2× 77 1.7k
Gabriel Thomas Canada 17 263 0.6× 264 0.6× 815 2.6× 491 1.6× 449 1.7× 91 2.0k
Thomas Corpetti France 21 521 1.1× 299 0.7× 648 2.0× 486 1.6× 512 2.0× 98 1.9k
Julien Michel France 19 734 1.6× 607 1.3× 351 1.1× 198 0.6× 306 1.2× 74 1.9k
Gintautas Palubinskas Germany 17 214 0.5× 344 0.7× 250 0.8× 149 0.5× 189 0.7× 84 997
Silvana Dellepiane Italy 18 382 0.8× 362 0.8× 252 0.8× 311 1.0× 218 0.8× 94 1.3k
W. Kleynhans South Africa 18 162 0.4× 253 0.6× 330 1.0× 224 0.7× 131 0.5× 76 905

Countries citing papers authored by Arnt-Børre Salberg

Since Specialization
Citations

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

Fields of papers citing papers by Arnt-Børre Salberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnt-Børre Salberg. 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 Arnt-Børre Salberg. The network helps show where Arnt-Børre Salberg may publish in the future.

Co-authorship network of co-authors of Arnt-Børre Salberg

This figure shows the co-authorship network connecting the top 25 collaborators of Arnt-Børre Salberg. A scholar is included among the top collaborators of Arnt-Børre Salberg 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 Arnt-Børre Salberg. Arnt-Børre Salberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kampffmeyer, Michael, et al.. (2025). DiffFuSR: Super-Resolution of All Sentinel-2 Multispectral Bands Using Diffusion Models. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13. 1 indexed citations
2.
Kvile, Kristina Øie, Hege Gundersen, Robert Nøddebo Poulsen, et al.. (2024). Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification. MethodsX. 13. 102935–102935. 3 indexed citations
3.
Liu, Qinghui, Michael Kampffmeyer, Robert Jenssen, & Arnt-Børre Salberg. (2021). Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images. International Journal of Remote Sensing. 42(16). 6184–6208. 14 indexed citations
4.
Eikvil, Line, et al.. (2020). Explaining decisions of deep neural networks used for fish age prediction. PLoS ONE. 15(6). e0235013–e0235013. 20 indexed citations
5.
Liu, Qinghui, Michael Kampffmeyer, Robert Jenssen, & Arnt-Børre Salberg. (2020). Dense Dilated Convolutions’ Merging Network for Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing. 58(9). 6309–6320. 113 indexed citations
6.
Liu, Qinghui, Michael Kampffmeyer, Robert Jenssen, & Arnt-Børre Salberg. (2020). Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. Munin Open Research Archive (The Arctic University of Norway). 199–205. 37 indexed citations
7.
Liu, Qinghui, Michael Kampffmeyer, Robert Jenssen, & Arnt-Børre Salberg. (2019). Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. 9. 5041–5044. 3 indexed citations
8.
Malde, Ketil, Nils Olav Handegard, Line Eikvil, & Arnt-Børre Salberg. (2019). Machine intelligence and the data-driven future of marine science. ICES Journal of Marine Science. 77(4). 1274–1285. 104 indexed citations
9.
Trier, Øivind Due, et al.. (2018). Multi-sensor forest vegetation height mapping methods for Tanzania. European Journal of Remote Sensing. 51(1). 587–606. 15 indexed citations
10.
Kampffmeyer, Michael, Arnt-Børre Salberg, & Robert Jenssen. (2018). Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(6). 1758–1768. 43 indexed citations
11.
Kampffmeyer, Michael, et al.. (2017). Deep divergence-based clustering. 48. 1–6. 4 indexed citations
12.
Trier, Øivind Due, et al.. (2016). Semi-automatic mapping of cultural heritage from airborne laser scanning using deep learning. EGU General Assembly Conference Abstracts. 18. 4 indexed citations
14.
Frauenfelder, Regula, et al.. (2012). REMOTE-SENSING DERIVED AVALANCHE INVENTORY DATA. Duo Research Archive (University of Oslo). 398–403. 2 indexed citations
15.
Salberg, Arnt-Børre. (2011). Retraining maximum likelihood classifiers using a low-rank model. 166–169. 3 indexed citations
16.
Salberg, Arnt-Børre & Øivind Due Trier. (2011). Temporal analysis of forest cover using hidden Markov models. 2322–2325. 8 indexed citations
17.
Salberg, Arnt-Børre, et al.. (2009). 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)). 2 indexed citations
18.
Aldana, Steven G., Roger L. Greenlaw, Hans Diehl, et al.. (2007). A video-based lifestyle intervention and changes in coronary risk. Health Education Research. 23(1). 115–124. 15 indexed citations
19.
Stransky, Christoph, Hannes Baumann, Svein‐Erik Fevolden, et al.. (2007). Separation of Norwegian coastal cod and Northeast Arctic cod by outer otolith shape analysis. Fisheries Research. 90(1-3). 26–35. 93 indexed citations
20.
Salberg, Arnt-Børre, et al.. (2006). A subspace theory for differential chaos-shift keying. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 53(1). 51–55. 10 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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