Peer‐Timo Bremer

187 papers receiving 4.7k citations

Peers

Peer‐Timo Bremer
Comparison fields: 5 of 171
  • Computer Graphics and Computer-Aided Design 982
  • Computer Vision and Pattern Recognition 2.0k
  • Biophysics 450
  • Computational Theory and Mathematics 1.1k
  • Hardware and Architecture 340
Replace Valerio Pascucci with:
Valerio Pascucci United States
Chandrajit Bajaj United States
Han‐Wei Shen United States
John E. Stone United States
Michael T. Heath United States
Achi Brandt Israel
Jacob T. Schwartz United States
Ian Buck United States
John D. Owens United States
Aaron Lefohn United States
Peer‐Timo Bremer relative to Valerio Pascucci United States Valerio Pascucci's profile →
Citations per field
00.5×1.5×
Valerio Pascucci · 1×
Citations per year

Countries citing papers authored by Peer‐Timo Bremer

Since Specialization
Citations

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

Fields of papers citing papers by Peer‐Timo Bremer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peer‐Timo Bremer. 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 Peer‐Timo Bremer. The network helps show where Peer‐Timo Bremer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016255
2 2006240
3 2017206
4 2012167
5 2009166
6 2004134
7 2007126
8 2008124
9 2007121
10 2008103
11 200697
12 201296
13 201680
14 200975
15 200771
16 201767
17 200667
18 201066
19 201165
20 201661

About Peer‐Timo Bremer

Peer‐Timo Bremer is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 198 papers that have together received 4.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (49 papers), Topological and Geometric Data Analysis (44 papers), Computer Graphics and Visualization Techniques (40 papers), Parallel Computing and Optimization Techniques (20 papers), Advanced Data Storage Technologies (19 papers), Cell Image Analysis Techniques (16 papers), Software System Performance and Reliability (15 papers) and Scientific Computing and Data Management (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (982 citations), Computer Vision and Pattern Recognition (2.0k citations), Biophysics (450 citations), Computational Theory and Mathematics (1.1k citations) and Hardware and Architecture (340 citations). Peer‐Timo Bremer has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Valerio Pascucci, Bernd Hamann, Harsh Bhatia, Attila Gyulassy, Shusen Liu, Ajith Mascarenhas, Bei Wang, Giorgio Scorzelli, John C. Hart and Jayaraman J. Thiagarajan. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, ACM Transactions on Graphics, Computer Aided Geometric Design and Machine Learning Science and Technology.

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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