Andreas Kolb

141 papers receiving 3.9k citations

Andreas Kolb's Hit Papers

Real-Time 3D Reconstruction in Dynamic Scenes Using Point-Based Fusion 2013 · 290 citations
2900+4+8Years since publication50100150200250

Peers

Andreas Kolb
Comparison fields: 5 of 165
  • Instrumentation 866
  • Computer Graphics and Computer-Aided Design 585
  • Computer Vision and Pattern Recognition 2.3k
  • Geology 445
  • Acoustics and Ultrasonics 49
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Countries citing papers authored by Andreas Kolb

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kolb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015304
2
Real-Time 3D Reconstruction in Dynamic Scenes Using Point-Based Fusion
Hit paper breakdown →
2013290
3 2018270
4 2010236
5 2013236
6 2010195
7 2014159
8 2013158
9 2009136
10 2006105
11 200493
12 201393
13 201491
14 200784
15 200774
16 201667
17 200860
18 201058
19 200657
20 201357

About Andreas Kolb

Andreas Kolb is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Instrumentation, Computational Mechanics and Media Technology, having authored 150 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (47 papers), Advanced Vision and Imaging (38 papers), Advanced Optical Sensing Technologies (34 papers), 3D Shape Modeling and Analysis (21 papers), Robotics and Sensor-Based Localization (17 papers), Optical measurement and interference techniques (15 papers), Fluid Dynamics Simulations and Interactions (13 papers) and Lattice Boltzmann Simulation Studies (10 papers). The work is most often cited by research in Instrumentation (866 citations), Computer Graphics and Computer-Aided Design (585 citations), Computer Vision and Pattern Recognition (2.3k citations), Geology (445 citations) and Acoustics and Ultrasonics (49 citations). Andreas Kolb has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marvin Lindner, Reinhard Koch, Damien Lefloch, Hamed Sarbolandi, Erhardt Barth, Martin Lambers, Rasmus Larsen, Maik Keller, Christof Rezk‐Salama and Christian Theobalt. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, The Visual Computer, Computer Vision and Image Understanding and Computer-Aided Design.

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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