Jan Erik Solem

456 total citations
22 papers, 209 citations indexed

About

Jan Erik Solem is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jan Erik Solem has authored 22 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jan Erik Solem's work include 3D Shape Modeling and Analysis (10 papers), Advanced Vision and Imaging (5 papers) and Computer Graphics and Visualization Techniques (5 papers). Jan Erik Solem is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Advanced Vision and Imaging (5 papers) and Computer Graphics and Visualization Techniques (5 papers). Jan Erik Solem collaborates with scholars based in Sweden, Australia and Denmark. Jan Erik Solem's co-authors include Anders Heyden, Fredrik Kahl, Henrik Aanæs, Christian Andersson, Yubin Kuang, Kalle Åström and Claus Führer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and ELCVIA Electronic Letters on Computer Vision and Image Analysis.

In The Last Decade

Jan Erik Solem

21 papers receiving 191 citations

Peers

Jan Erik Solem
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 116
  • Computational Mechanics 41
  • Computer Graphics and Computer-Aided Design 36
  • Electrical and Electronic Engineering 30
  • Aerospace Engineering 27
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Citations per field, relative to Jan Erik Solem
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Citations per year, relative to Jan Erik Solem
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Countries citing papers authored by Jan Erik Solem

Since Specialization
Citations

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

Fields of papers citing papers by Jan Erik Solem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Erik Solem. 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 Jan Erik Solem. The network helps show where Jan Erik Solem may publish in the future.

Co-authorship network of co-authors of Jan Erik Solem

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Erik Solem. A scholar is included among the top collaborators of Jan Erik Solem 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 Jan Erik Solem. Jan Erik Solem 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
# Work Indexed citations
1
Scientific Computing with Python 3
6
2
Computing with Python: An Introduction to Python for Science and Engineering
1
3
Computing with Python
1
4
Programming computer vision with Python
42
5
Programming Computer Vision with Python: Tools and algorithms for analyzing images
37
6 2
7 4
8 8
9 6
10 12
11 1
12 1
13 3
14 2
15 16
16 4
17
Surface Reconstruction using Learned Shape Models
7
18 13
19 2
20 17

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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