Peer‐Timo Bremer

8.4k total citations
198 papers, 4.8k citations indexed

About

Peer‐Timo Bremer is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Peer‐Timo Bremer has authored 198 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 49 papers in Computational Theory and Mathematics and 43 papers in Computer Networks and Communications. Recurrent topics in Peer‐Timo Bremer's work include Data Visualization and Analytics (49 papers), Topological and Geometric Data Analysis (44 papers) and Computer Graphics and Visualization Techniques (40 papers). Peer‐Timo Bremer is often cited by papers focused on Data Visualization and Analytics (49 papers), Topological and Geometric Data Analysis (44 papers) and Computer Graphics and Visualization Techniques (40 papers). Peer‐Timo Bremer collaborates with scholars based in United States, Germany and Netherlands. Peer‐Timo Bremer's 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 and has published in prestigious journals such as Journal of Applied Physics, The Journal of Physical Chemistry B and Journal of Fluid Mechanics.

In The Last Decade

Peer‐Timo Bremer

187 papers receiving 4.7k citations

Peers

Peer‐Timo Bremer
Comparison fields: 5 of 171
  • Computer Vision and Pattern Recognition 2.0k
  • Computational Theory and Mathematics 1.1k
  • Computer Graphics and Computer-Aided Design 982
  • Computational Mechanics 819
  • Computer Networks and Communications 628
Replace Valerio Pascucci with:
Valerio Pascucci United States
Jens Krüger Germany
Aaron Lefohn United States
Han‐Wei Shen United States
David Luebke United States
Achi Brandt Israel
Chandrajit Bajaj United States
Ian Buck United States
Michael T. Heath United States
Raimund Seidel United States
Valerio Pascucci United States View profile →
Citations per field, relative to Peer‐Timo Bremer
Peer‐Timo Bremer · 1×
Citations per year, relative to Peer‐Timo Bremer
Peer‐Timo Bremer · 1×

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-authorship network of co-authors of Peer‐Timo Bremer

This figure shows the co-authorship network connecting the top 25 collaborators of Peer‐Timo Bremer. A scholar is included among the top collaborators of Peer‐Timo Bremer 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 Peer‐Timo Bremer. Peer‐Timo Bremer 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
# Work Indexed citations
1 0
2 7
3 1
4 0
5 1
6 16
7 6
8 2
9 13
10 18
11 3
12 24
13 11
14 14
15 22
16 42
17 10
18
Dynamic PRA: an Overview of New Algorithms to Generate, Analyze and Visualize Data
9
19 7
20 3

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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