Frode Eika Sandnes

3.7k citations
193 papers · 1.7k · h-index 19

Impact in

Papers in

Frode Eika Sandnes

174 papers receiving 1.6k citations

Peers

Frode Eika Sandnes
Comparison fields: 5 of 145
  • Human-Computer Interaction 336
  • Human Factors and Ergonomics 103
  • Cognitive Neuroscience 369
  • Computer Vision and Pattern Recognition 321
  • Occupational Therapy 56
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Citations per year

Countries citing papers authored by Frode Eika Sandnes

Since Specialization
Citations

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

Fields of papers citing papers by Frode Eika Sandnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frode Eika Sandnes. 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 Frode Eika Sandnes. The network helps show where Frode Eika Sandnes may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020149
2 2005111
3 202072
4 200663
5 200858
6 202051
7 202248
8 201248
9 201136
10 201531
11 201030
12 200730
13 200927
14 201624
15 201123
16
A Comparative Study of Learning Motivation among Engineering Students in South East Asia and Beyond
200922
17 200622
18 201020
19 200920
20 201018

About Frode Eika Sandnes

Frode Eika Sandnes is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Information Systems, Cognitive Neuroscience and Artificial Intelligence, having authored 193 papers that have together received 1.7k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (31 papers), Tactile and Sensory Interactions (28 papers), Gaze Tracking and Assistive Technology (16 papers), Advanced Image and Video Retrieval Techniques (12 papers), Data Mining Algorithms and Applications (11 papers), Image Retrieval and Classification Techniques (9 papers), scientometrics and bibliometrics research (8 papers) and Industrial Vision Systems and Defect Detection (7 papers). The work is most often cited by research in Human-Computer Interaction (336 citations), Human Factors and Ergonomics (103 citations), Cognitive Neuroscience (369 citations), Computer Vision and Pattern Recognition (321 citations) and Occupational Therapy (56 citations). Frode Eika Sandnes has collaborated with scholars based in Norway, Taiwan and Brazil. Frequent co-authors include Raju Shrestha, Bineeth Kuriakose, Yo‐Ping Huang, Gerd Berget, Yo-Ping Huang, Fausto Orsi Mêdola, Oliver Sinnen, Leonel Sousa, Simen Hagen and Tiago M. Alves. Their work appears in journals such as Scientometrics, Expert Systems with Applications, International Journal of Fuzzy Systems, International journal of engineering education and Journal of Computer Assisted Learning.

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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