Heiko Seim

452 citations
13 papers · 316 · h-index 8

Impact in

Papers in

Heiko Seim

12 papers receiving 305 citations

Peers

Heiko Seim
Comparison fields: 5 of 46
  • Oral Surgery 58
  • Radiology, Nuclear Medicine and Imaging 86
  • Computer Vision and Pattern Recognition 82
  • Computer Graphics and Computer-Aided Design 10
  • Biomedical Engineering 113
Replace André Mastmeyer with:
André Mastmeyer Germany
Felix Ambellan Germany
Isaac Castro-Mateos United Kingdom
S. Nithiananthan United States
René Donner Austria
Luis Miguel del Río Barquero Spain
M. Slomczykowski United Kingdom
B. Godbout Canada
Sebastian P. M. Dries Germany
S Reaungamornrat United States
Heiko Seim relative to André Mastmeyer Germany André Mastmeyer's profile →
Citations per field
00.5×1.5×2.1×
André Mastmeyer · 1×
Citations per year

Countries citing papers authored by Heiko Seim

Since Specialization
Citations

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

Fields of papers citing papers by Heiko Seim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Heiko Seim, 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 Heiko Seim Line = papers co-authored together Heiko Seim links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200870
2 200958
3 200946
4 201042
5 200738
6 200824
7 200622
8 200911
9 20102
10
Robust and Intuitive Meshing of Bone-Implant Compounds
20111
11
Towards model-based 3-D reconstruction of the human rib cage from radiographs
20081
12
A Large Scale Finite Element Study of an Osseointegrated Cementless Tibial Tray
20121
13 20090

About Heiko Seim

Heiko Seim is a scholar working on Biomedical Engineering, Surgery, Computer Vision and Pattern Recognition, Oral Surgery and Computational Mechanics, having authored 13 papers that have together received 316 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (7 papers), Dental Radiography and Imaging (3 papers), Medical Image Segmentation Techniques (2 papers), Image and Object Detection Techniques (2 papers), Orthopaedic implants and arthroplasty (2 papers), 3D Shape Modeling and Analysis (2 papers), Hermeneutics and Narrative Identity (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Oral Surgery (58 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Computer Vision and Pattern Recognition (82 citations), Computer Graphics and Computer-Aided Design (10 citations) and Biomedical Engineering (113 citations). Heiko Seim has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Stefan Zachow, Hans Lamecker, Dagmar Kainmueller, Hans‐Christian Hege, Markus O. Heller, Gero Strauß, Bernhard Preim, Max Zinser, Dagmar Kainmüller and Tobias Klinder. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Academic Radiology, American Journal of Roentgenology, Lecture notes in computer science and ePrints Soton (University of Southampton).

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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