Line Eikvil

694 citations
26 papers · 507 · h-index 12

Impact in

Papers in

Line Eikvil

25 papers receiving 479 citations

Peers

Line Eikvil
Comparison fields: 5 of 94
  • Media Technology 76
  • Computer Vision and Pattern Recognition 160
  • Nature and Landscape Conservation 81
  • Global and Planetary Change 114
  • Oceanography 58
Replace Scott Samson with:
Scott Samson United States
Ammar Mahmood Australia
Andrew Remsen United States
Fang‐Pang Lin Taiwan
Waqar Ahmad Pakistan
Ran Jing China
Howard Schultz United States
Daniel Langenkämper Germany
Uwe Knauer Germany
Damir Medak Croatia
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Citations per field
00.5×3.2×
Scott 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 2019121
2 2008102
3 201946
4 199936
5 200523
6 202021
7 199621
8 199120
9 202217
10 200217
11 201315
12 202114
13 19959
14
Multi-Sensor/Multi-Temporal Analysis of Envisat Data for Snow Monitoring
20057
15 20157
16 20056
17
TRAFFIC SURVEILLANCE IN REAL-TIME USING HIDDEN MARKOV MODELS
20015
18 20234
19 20253
20 20093

About Line Eikvil

Line Eikvil is a scholar working on Computer Vision and Pattern Recognition, Ecology, Global and Planetary Change, Artificial Intelligence and Media Technology, having authored 26 papers that have together received 507 indexed citations. Recurring topics across this work include Marine and fisheries research (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Marine animal studies overview (3 papers), Handwritten Text Recognition Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Remote-Sensing Image Classification (3 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Media Technology (76 citations), Computer Vision and Pattern Recognition (160 citations), Nature and Landscape Conservation (81 citations), Global and Planetary Change (114 citations) and Oceanography (58 citations). Line Eikvil has collaborated with scholars based in Norway, Iceland and Spain. Frequent co-authors include Arnt-Børre Salberg, Lars Aurdal, Nils Olav Handegard, Ketil Malde, Kjersti Aas, Ragnar Bang Huseby, Nils Lid Hjort, Espen Johnsen, Anders U. Waldeland and Torfinn Taxt. Their work appears in journals such as ICES Journal of Marine Science, Pattern Recognition, Radiology Artificial Intelligence, PLoS ONE and Pattern Recognition Letters.

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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