M. Teschner

2.0k citations
81 papers · 1.5k indexed · h-index 18

M. Teschner

77 papers receiving 1.4k citations

Peers

M. Teschner
Comparison fields: 5 of 144
  • Computer Graphics and Computer-Aided Design 417
  • Otorhinolaryngology 131
  • Computational Mechanics 494
  • Computer Vision and Pattern Recognition 335
  • Sensory Systems 69
Replace Kuang-Hua Chang with:
Kuang-Hua Chang United States
Rasmus R. Paulsen Denmark
U. Tiede Germany
Dirk Bartz Germany
A. Pommert Germany
Karl‐Hans Englmeier Germany
S. Gottschalk Germany
J. Paul Siebert United Kingdom
Kenneth Salisbury United States
Steven Pieper United States
M. Teschner relative to Kuang-Hua Chang United States Kuang-Hua Chang's profile →
Citations per field
00.5×10×12.9×
Kuang-Hua Chang · 1×
Citations per year

Countries citing papers authored by M. Teschner

Since Specialization
Citations

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

Fields of papers citing papers by M. Teschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 201618
3 201511
4 20148
5 20125
6 20122
7 20124
8 20114
9 20102
10 200885
11 200841
12 2007138
13 20076
14
SIMULATION. Burst Pressure Prediction in Plastic Intake Manifolds
20041
15 20042
16 200417
17 20003
18 199715
19
A Modular 10-DOF Vision System for High-Resolution Active Stereo
19971
20
Analysis of 2D Color Spaces for Highlight Elimination in 3D Shape Reconstruction
19953

About M. Teschner

M. Teschner is a scholar working on Otorhinolaryngology, Computer Graphics and Computer-Aided Design, Sensory Systems, Computational Mechanics and Cognitive Neuroscience, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ear Surgery and Otitis Media (14 papers), Hearing Loss and Rehabilitation (14 papers), 3D Shape Modeling and Analysis (12 papers), Computer Graphics and Visualization Techniques (9 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Computational Geometry and Mesh Generation (6 papers), Nasal Surgery and Airway Studies (6 papers) and Head and Neck Anomalies (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (417 citations), Otorhinolaryngology (131 citations), Computational Mechanics (494 citations), Computer Vision and Pattern Recognition (335 citations) and Sensory Systems (69 citations). M. Teschner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Jonas Spillmann, Bruno Heidelberger, Thomas Lenarz, Pascal Volino, François Fauré, Stefan Kimmerle, Gabriel Zachmann, Laks Raghupathi, Nadia Magnenat‐Thalmann and Wolfgang Straßer. Their work appears in journals such as Otology & Neurotology, European Archives of Oto-Rhino-Laryngology, Computer Graphics Forum, ORL and Cochlear Implants International.

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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