Erik Granum

3.6k total citations · 1 hit paper
60 papers, 2.1k citations indexed

About

Erik Granum is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Genetics. According to data from OpenAlex, Erik Granum has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Erik Granum's work include Genomic variations and chromosomal abnormalities (11 papers), Gene expression and cancer classification (8 papers) and Color Science and Applications (8 papers). Erik Granum is often cited by papers focused on Genomic variations and chromosomal abnormalities (11 papers), Gene expression and cancer classification (8 papers) and Color Science and Applications (8 papers). Erik Granum collaborates with scholars based in Denmark, United Kingdom and United States. Erik Granum's co-authors include Thomas B. Moeslund, Jim Piper, Hans Jørgen Andersen, Moritz Störring, Claes Lundsteen, Michael G. Thomason, John Philip, Denis Rutovitz, Michael Nielsen and Claus Madsen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of the Optical Society of America A.

In The Last Decade

Erik Granum

59 papers receiving 1.9k citations

Hit Papers

A Survey of Computer Vision-Based Human Motion Capture 2001 2026 2009 2017 2001 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erik Granum Denmark 18 1.3k 470 343 340 295 60 2.1k
Suchendra M. Bhandarkar United States 24 1.0k 0.8× 469 1.0× 273 0.8× 64 0.2× 105 0.4× 137 2.3k
Wei‐Yun Yau Singapore 28 1.9k 1.5× 97 0.2× 549 1.6× 49 0.1× 224 0.8× 151 3.1k
Zitong Yu China 28 1.5k 1.2× 89 0.2× 212 0.6× 150 0.4× 671 2.3× 87 2.7k
Eric Sung Singapore 18 803 0.6× 251 0.5× 256 0.7× 58 0.2× 99 0.3× 74 1.7k
Xiaoyang Tan China 21 3.6k 2.9× 210 0.4× 626 1.8× 61 0.2× 133 0.5× 79 4.5k
Mohammed Yeasin United States 21 612 0.5× 309 0.7× 406 1.2× 170 0.5× 116 0.4× 107 1.8k
Pritee Khanna India 26 1.2k 1.0× 209 0.4× 410 1.2× 73 0.2× 102 0.3× 106 2.4k
Jun Wan China 29 1.9k 1.5× 344 0.7× 420 1.2× 54 0.2× 332 1.1× 90 2.5k
Hedvig Kjellström Sweden 23 949 0.8× 349 0.7× 509 1.5× 29 0.1× 215 0.7× 72 1.9k
Jörn Östermann Germany 27 2.5k 2.0× 64 0.1× 289 0.8× 102 0.3× 373 1.3× 205 3.5k

Countries citing papers authored by Erik Granum

Since Specialization
Citations

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

Fields of papers citing papers by Erik Granum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Granum

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Granum. A scholar is included among the top collaborators of Erik Granum 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 Erik Granum. Erik Granum 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
1.
Nielsen, Michael, Hans Jørgen Andersen, David C. Slaughter, & Erik Granum. (2005). Ground truth evaluation of 3D computer vision on non-rigid biological structures. VBN Forskningsportal (Aalborg Universitet). 547–556. 3 indexed citations
2.
Moeslund, Thomas B., Claus Madsen, & Erik Granum. (2005). Modelling the 3D pose of a human arm and the shoulder complex utilising only two parameters. Integrated Computer-Aided Engineering. 12(2). 159–175. 32 indexed citations
3.
Moeslund, Thomas B., et al.. (2004). Computer vision-based gesture recognition for an augmented reality interface. VBN Forskningsportal (Aalborg Universitet). 766–771. 14 indexed citations
4.
Nielsen, Michael Bachmann, Moritz Störring, Thomas B. Moeslund, & Erik Granum. (2003). A procedure for developing intuitive and ergonomic gesture interfaces for HCI. VBN Forskningsportal (Aalborg Universitet). 5 indexed citations
5.
Störring, Moritz, et al.. (2003). Tracking regions of human skin through illumination changes. Pattern Recognition Letters. 24(11). 1715–1723. 22 indexed citations
6.
Störring, Moritz & Erik Granum. (2002). Adapting A Statistical Skin Colour Model To Illumination Changes. Conference on Colour in Graphics Imaging and Vision. 1(1). 16–21. 4 indexed citations
7.
Granum, Erik, et al.. (2002). VR++ and its application for interactive and dynamic visualization of data in virtual reality. 2 indexed citations
8.
Moeslund, Thomas B., et al.. (2002). Estimating the 3D shoulder position using monocular vision and a detailed shoulder model. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations
9.
Benyon, David, Manfred Fahle, Erik Granum, et al.. (2002). An Investigation into Virtual Representation of Real Places. 4 indexed citations
10.
Moeslund, Thomas B., Moritz Störring, & Erik Granum. (2001). A Natural Interface to a Virtual Environment through Computer Vision-estimated Pointing Gestures. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations
11.
Moeslund, Thomas B. & Erik Granum. (2000). 3D Human Pose Estimation using 2D-Data and an Alternative Phase Space Representation. VBN Forskningsportal (Aalborg Universitet). 17 indexed citations
12.
Andersen, Hans Jørgen & Erik Granum. (2000). Classifying the illumination condition from two light sources by color histogram assessment. Journal of the Optical Society of America A. 17(4). 667–667. 7 indexed citations
13.
Störring, Moritz, Hans Jørgen Andersen, & Erik Granum. (1999). Skin colour detection under changing lighting conditions. VBN Forskningsportal (Aalborg Universitet). 187–195. 65 indexed citations
14.
Gregor, Jens & Erik Granum. (1991). Finding chromosome centromeres using band pattern information. Computers in Biology and Medicine. 21(1-2). 55–67. 13 indexed citations
15.
Granum, Erik & Michael G. Thomason. (1990). Automatically inferred markov network models for classification of chromosomal band pattern structures. Cytometry. 11(1). 26–39. 25 indexed citations
16.
Piper, Jim & Erik Granum. (1989). On fully automatic feature measurement for banded chromosome classification. Cytometry. 10(3). 242–255. 152 indexed citations
17.
Piper, Jim & Erik Granum. (1987). Computing distance transformations in convex and non-convex domains. Pattern Recognition. 20(6). 599–615. 81 indexed citations
18.
Lundsteen, Claes, et al.. (1981). Automatic chromosome analysis. Clinical Genetics. 19(1). 26–36. 17 indexed citations
19.
Philip, John, et al.. (1980). Quantitative analysis of 6985 digitized trypsin G ‐banded human metaphase chromosomes. Clinical Genetics. 18(5). 355–370. 53 indexed citations
20.
Lundsteen, Claes & Erik Granum. (1977). Visual classification of banded human chromosomes:. Annals of Human Genetics. 40(4). 431–442. 15 indexed citations

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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