Line Eikvil

676 total citations
25 papers, 446 citations indexed

About

Line Eikvil is a scholar working on Computer Vision and Pattern Recognition, Ecology and Global and Planetary Change. According to data from OpenAlex, Line Eikvil has authored 25 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Ecology and 6 papers in Global and Planetary Change. Recurrent topics in Line Eikvil's work include Advanced Image and Video Retrieval Techniques (5 papers), Marine and fisheries research (5 papers) and Image Retrieval and Classification Techniques (4 papers). Line Eikvil is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Marine and fisheries research (5 papers) and Image Retrieval and Classification Techniques (4 papers). Line Eikvil collaborates with scholars based in Norway, Iceland and Spain. Line Eikvil's co-authors include Arnt-Børre Salberg, Lars Aurdal, Nils Olav Handegard, Ketil Malde, Kjersti Aas, Ragnar Bang Huseby, Alf Harbitz, Michael Kampffmeyer, Espen Johnsen and Anders U. Waldeland and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Pattern Recognition.

In The Last Decade

Line Eikvil

24 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Line Eikvil Norway	12	143	108	87	80	70	25	446
Ammar Mahmood Australia	6	96 0.7×	37 0.3×	129 1.5×	46 0.6×	44 0.6×	6	301
Fang‐Pang Lin Taiwan	13	248 1.7×	203 1.9×	128 1.5×	94 1.2×	36 0.5×	30	863
Scott Samson United States	12	192 1.3×	79 0.7×	115 1.3×	51 0.6×	146 2.1×	37	760
Andrew Remsen United States	13	202 1.4×	91 0.8×	110 1.3×	50 0.6×	149 2.1×	21	783
Jörg Ontrup Germany	11	63 0.4×	73 0.7×	141 1.6×	37 0.5×	13 0.2×	24	361
Daniel Langenkämper Germany	11	43 0.3×	76 0.7×	178 2.0×	46 0.6×	17 0.2×	31	485
Mehdi Ravanbakhsh Australia	12	145 1.0×	59 0.5×	93 1.1×	80 1.0×	111 1.6×	25	679
Daniel Steinberg Australia	12	85 0.6×	62 0.6×	129 1.5×	61 0.8×	10 0.1×	20	429
Zhengjun Liu China	15	117 0.8×	85 0.8×	143 1.6×	47 0.6×	170 2.4×	67	678
Danelle E. Cline United States	11	54 0.4×	61 0.6×	129 1.5×	97 1.2×	10 0.1×	23	390

Countries citing papers authored by Line Eikvil

Since Specialization

Citations

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

Fields of papers citing papers by Line Eikvil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Line Eikvil

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hovda, Tone, Fredrik A. Dahl, Line Eikvil, et al.. (2025). Performance of Two Deep Learning–based AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway. Radiology Artificial Intelligence. 7(3). e240039–e240039. 3 indexed citations

Dahl, Fredrik A., et al.. (2023). Two-stage mammography classification model using explainable-AI for ROI detection. 3(2). 1–7. 4 indexed citations

Dahl, Fredrik A., et al.. (2022). mammography classification model trained from image labels only. 3. 1 indexed citations

Eikvil, Line, et al.. (2022). Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation. Fishes. 7(2). 71–71. 17 indexed citations

Kampffmeyer, Michael, et al.. (2021). Semi-supervised target classification in multi-frequency echosounder data. ICES Journal of Marine Science. 78(7). 2615–2627. 13 indexed citations

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

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

Waldeland, Anders U., Espen Johnsen, Ketil Malde, et al.. (2019). Acoustic classification in multifrequency echosounder data using deep convolutional neural networks. ICES Journal of Marine Science. 77(4). 1391–1400. 42 indexed citations

Eikvil, Line, Tor-Kristian Jenssen, & Marit Holden. (2015). Multi-focus cluster labeling. Journal of Biomedical Informatics. 55. 116–123. 1 indexed citations

10.

Eikvil, Line, Marit Holden, & Ragnar Bang Huseby. (2009). Adaptive Registration of Remote Sensing Images using Supervised Learning. Photogrammetric Engineering & Remote Sensing. 75(11). 1297–1306. 3 indexed citations

11.

Eikvil, Line, et al.. (2008). Classification-based vehicle detection in high-resolution satellite images. ISPRS Journal of Photogrammetry and Remote Sensing. 64(1). 65–72. 99 indexed citations

12.

Eikvil, Line, et al.. (2006). EO-HYDRO: an Earth Observation Service for Hydropower Plant Management.. 321–327. 3 indexed citations

13.

Solberg, Rune, et al.. (2005). Multi-Sensor/Multi-Temporal Analysis of Envisat Data for Snow Monitoring. 572. 6 indexed citations

14.

Huseby, Ragnar Bang, et al.. (2005). Alignment of growth seasons from satellite data. 213–216. 5 indexed citations

15.

Eikvil, Line, et al.. (2002). Tools for interactive map conversion and vectorization. 2. 927–930. 14 indexed citations

16.

Eikvil, Line & Ragnar Bang Huseby. (2001). TRAFFIC SURVEILLANCE IN REAL-TIME USING HIDDEN MARKOV MODELS. 3 indexed citations

17.

Aas, Kjersti, Line Eikvil, & Ragnar Bang Huseby. (1999). Applications of hidden Markov chains in image analysis. Pattern Recognition. 32(4). 703–713. 32 indexed citations

18.

Aas, Kjersti, et al.. (1996). Automatic can separation. 954–958 vol.3.

19.

Aas, Kjersti & Line Eikvil. (1996). Text page recognition using Grey-level features and hidden Markov models. Pattern Recognition. 29(6). 977–985. 16 indexed citations

20.

Taxt, Torfinn, Nils Lid Hjort, & Line Eikvil. (1991). Statistical classification using a linear mixture of two multinormal probability densities. Pattern Recognition Letters. 12(12). 731–737. 15 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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