Anna Hilsmann

81 papers receiving 609 citations

Peers

Anna Hilsmann
Comparison fields: 5 of 91
  • Computer Graphics and Computer-Aided Design 74
  • Computer Vision and Pattern Recognition 285
  • Geology 58
  • Radiology, Nuclear Medicine and Imaging 144
  • Biophysics 32
Replace Yuanfeng Zhou with:
Yuanfeng Zhou China
Aladine Chetouani France
Marie‐Odile Berger France
Mohamed Elgharib Germany
Bisser Raytchev Japan
Chang Xiao United States
J. Toriwaki Japan
Lisa Avila United States
Frédéric Devernay France
Minh Vo United States
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Countries citing papers authored by Anna Hilsmann

Since Specialization
Citations

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

Fields of papers citing papers by Anna Hilsmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 202037
3 201734
4 201922
5 202020
6 201918
7 202017
8 201717
9 202017
10 202316
11 201016
12 202215
13 202115
14 201915
15 202313
16 202113
17 200912
18 201312
19 202111
20 201911

About Anna Hilsmann

Anna Hilsmann is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Geology, Computational Mechanics and Otorhinolaryngology, having authored 93 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (28 papers), 3D Shape Modeling and Analysis (24 papers), Computer Graphics and Visualization Techniques (22 papers), Face recognition and analysis (15 papers), Generative Adversarial Networks and Image Synthesis (13 papers), Robotics and Sensor-Based Localization (12 papers), Optical Imaging and Spectroscopy Techniques (11 papers) and Photoacoustic and Ultrasonic Imaging (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (74 citations), Computer Vision and Pattern Recognition (285 citations), Geology (58 citations), Radiology, Nuclear Medicine and Imaging (144 citations) and Biophysics (32 citations). Anna Hilsmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Eisert, Eric L. Wisotzky, Florian C. Uecker, Steffen Dommerich, Philipp Fechteler, David C. Schneider, Wojciech Samek, Armin Schneider, Sebastian P. Schraven and Michael Bauer. Their work appears in journals such as Journal of Biomedical Optics, Computer Graphics Forum, Scientific Reports, IEEE Transactions on Visualization and Computer Graphics and IEEE Computer Graphics and Applications.

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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