Jacob Munkberg

38 papers receiving 884 citations

Hit Papers

Extracting Triangular 3D Models, Materials, and Lighting ...2022202620232024202250100150

Peers

Jacob Munkberg
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 691
  • Computer Graphics and Computer-Aided Design 504
  • Computational Mechanics 287
  • Media Technology 99
  • Radiology, Nuclear Medicine and Imaging 67
Replace Jon Hasselgren with:
Jon Hasselgren Sweden
Miika Aittala Finland
Heiko Friedrich Germany
Simon Niklaus United States
Johannes Hanika Germany
Nicolas Holzschuch France
Manfred Ernst United States
Ricardo Martin-Brualla United States
Jack Goldfeather United States
Eric R. Chan United States
Jacob Munkberg relative to Jon Hasselgren Sweden Jon Hasselgren's profile →
Citations per field
00.5×1.5×
Jon Hasselgren · 1×
Citations per year

Countries citing papers authored by Jacob Munkberg

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Munkberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Munkberg

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Munkberg. A scholar is included among the top collaborators of Jacob Munkberg 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 Jacob Munkberg. Jacob Munkberg 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
#WorkIndexed citations
1 1
2 0
3 2
4 24
5 12
6
Noise2Noise: Learning image restoration without clean data
208
7 15
8 8
9 2
10 27
11 2
12 2
13 18
14 13
15 3
16 9
17 4
18 54
19 30
20 6

About Jacob Munkberg

Jacob Munkberg is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 39 papers that have together received 925 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (32 papers), Advanced Vision and Imaging (23 papers) and 3D Shape Modeling and Analysis (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (504 citations), Computer Vision and Pattern Recognition (691 citations) and Computational Mechanics (287 citations). Jacob Munkberg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Jon Hasselgren, Tomas Akenine‐Möller, Petrik Clarberg, Samuli Laine, Jaakko Lehtinen, Miika Aittala, Timo Aila, Tero Karras, Tianchang Shen and Sanja Fidler. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and The Visual Computer.

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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