Line Eikvil

715 citations
26 papers · 531 · h-index 12

Impact in

Papers in

Line Eikvil

25 papers receiving 504 citations

Peers

Line Eikvil
Comparison fields: 5 of 95
  • Media Technology 74
  • Computer Vision and Pattern Recognition 161
  • Nature and Landscape Conservation 83
  • Global and Planetary Change 120
  • Oceanography 61
Replace Scott A. Samson with:
Scott A. Samson United States
Ammar Mahmood Australia
Fang‐Pang Lin Taiwan
Howard J. Schultz United States
Ran Jing China
Waqar Ahmad Pakistan
Brett Hosking United Kingdom
Daniel Langenkämper Germany
Christine J. Kranenburg United States
René Garello France
Line Eikvil relative to Scott A. Samson United States Scott A. Samson's profile →
Citations per field
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Scott A. Samson · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Line Eikvil, 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 Line Eikvil Line = papers co-authored together Line Eikvil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019132
2 2008103
3 201949
4 199936
5 202023
6 200523
7 199621
8 199120
9 202218
10 202117
11 200216
12 201315
13 19958
14 20057
15 20237
16 20157
17
Multi-Sensor/Multi-Temporal Analysis of Envisat Data for Snow Monitoring
20057
18 20255
19
TRAFFIC SURVEILLANCE IN REAL-TIME USING HIDDEN MARKOV MODELS
20015
20 20094

About Line Eikvil

Line Eikvil is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Global and Planetary Change, Ecology and Oceanography, having authored 26 papers that have together received 531 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (5 papers), Marine and fisheries research (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Global Cancer Incidence and Screening (3 papers), Marine animal studies overview (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Media Technology (74 citations), Computer Vision and Pattern Recognition (161 citations), Nature and Landscape Conservation (83 citations), Global and Planetary Change (120 citations) and Oceanography (61 citations). Line Eikvil has collaborated with scholars based in Norway, Iceland and Spain. Frequent co-authors include Arnt-Børre Salberg, Nils Olav Handegard, Ketil Malde, Lars Aurdal, Kjersti Aas, Ragnar Bang Huseby, Anders U. Waldeland, Alf Harbitz, Nils Lid Hjort and Torfinn Taxt. Their work appears in journals such as ICES Journal of Marine Science, Pattern Recognition, IEEE Journal of Biomedical and Health Informatics, Photogrammetric Engineering & Remote Sensing and Journal of Biomedical Informatics.

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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