Daniel Kondermann

1.7k total citations
24 papers, 574 citations indexed

About

Daniel Kondermann is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Computational Mechanics. According to data from OpenAlex, Daniel Kondermann has authored 24 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 3 papers in Instrumentation and 3 papers in Computational Mechanics. Recurrent topics in Daniel Kondermann's work include Advanced Vision and Imaging (15 papers), Advanced Image Processing Techniques (6 papers) and Image Enhancement Techniques (4 papers). Daniel Kondermann is often cited by papers focused on Advanced Vision and Imaging (15 papers), Advanced Image Processing Techniques (6 papers) and Image Enhancement Techniques (4 papers). Daniel Kondermann collaborates with scholars based in Germany, United States and United Kingdom. Daniel Kondermann's co-authors include Rahul Nair, Enric Meinhardt-Llopis, Michelle Yan, Stephan Meister, Lena Maier‐Hein, Katrin Honauer, Bernd Jähne, Carsten Rother, Hannes Götz Kenngott and Stefanie Speidel and has published in prestigious journals such as Experiments in Fluids, Lecture notes in computer science and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Daniel Kondermann

23 papers receiving 553 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Kondermann Germany 11 370 128 83 69 61 24 574
Fabrice Mériaudeau France 9 245 0.7× 95 0.7× 62 0.7× 36 0.5× 45 0.7× 22 416
Changyan Xiao China 13 380 1.0× 90 0.7× 49 0.6× 12 0.2× 32 0.5× 49 629
An Zhao China 11 141 0.4× 74 0.6× 43 0.5× 37 0.5× 134 2.2× 20 398
Amos Sironi Switzerland 7 282 0.8× 73 0.6× 17 0.2× 22 0.3× 89 1.5× 11 429
Lifang Wei China 12 253 0.7× 101 0.8× 87 1.0× 35 0.5× 64 1.0× 58 416
Xinchen Ye China 14 540 1.5× 57 0.4× 87 1.0× 15 0.2× 40 0.7× 52 648
Weiquan Liu China 13 169 0.5× 56 0.4× 73 0.9× 29 0.4× 84 1.4× 52 501
Roberto Rigamonti Switzerland 8 413 1.1× 102 0.8× 53 0.6× 42 0.6× 123 2.0× 10 548

Countries citing papers authored by Daniel Kondermann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kondermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kondermann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kondermann. A scholar is included among the top collaborators of Daniel Kondermann 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 Daniel Kondermann. Daniel Kondermann 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
1.
Chen, Brian, Andrew Rouditchenko, Daniel Kondermann, et al.. (2024). What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. 18419–18429. 1 indexed citations
2.
Ganz, Melanie, et al.. (2016). Crowdsourcing for error detection in cortical surface delineations. International Journal of Computer Assisted Radiology and Surgery. 12(1). 161–166. 6 indexed citations
3.
Kondermann, Daniel, et al.. (2016). The HCI Benchmark Suite: Stereo and Flow Ground Truth with Uncertainties for Urban Autonomous Driving. 19–28. 99 indexed citations
4.
Maier‐Hein, Lena, Daniel Kondermann, Tobias Roß, et al.. (2015). Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences. International Journal of Computer Assisted Radiology and Surgery. 10(8). 1201–1212. 20 indexed citations
5.
Nair, Rahul, Andrew Fitzgibbon, Daniel Kondermann, & Carsten Rother. (2015). Reflection Modeling for Passive Stereo. 2291–2299. 4 indexed citations
6.
Honauer, Katrin, Lena Maier‐Hein, & Daniel Kondermann. (2015). The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms. 2120–2128. 8 indexed citations
7.
Nair, Rahul, et al.. (2014). Time of flight motion compensation revisited. 5861–5865. 4 indexed citations
8.
Maier‐Hein, Lena, Daniel Kondermann, Sebastian Bodenstedt, et al.. (2014). Can Masses of Non-Experts Train Highly Accurate Image Classifiers?. Lecture notes in computer science. 17(Pt 2). 438–445. 49 indexed citations
9.
Maier‐Hein, Lena, Daniel Kondermann, Christian Stock, et al.. (2014). Crowdsourcing for Reference Correspondence Generation in Endoscopic Images. Lecture notes in computer science. 17(Pt 2). 349–356. 32 indexed citations
10.
Meister, Stephan, Rahul Nair, & Daniel Kondermann. (2013). Simulation of Time-of-Flight Sensors using Global Illumination. Eurographics. 14 indexed citations
11.
Becker, Maria, et al.. (2013). Movie dimensionalization via sparse user annotations. 34. 1–4. 3 indexed citations
12.
Meinhardt-Llopis, Enric, et al.. (2013). Horn-Schunck Optical Flow with a Multi-Scale Strategy. Image Processing On Line. 3. 151–172. 92 indexed citations
13.
Meister, Stephan, Shahram Izadi, Pushmeet Kohli, et al.. (2012). When Can We Use KinectFusion for Ground Truth Acquisition. 53 indexed citations
14.
Sellent, Anita, et al.. (2012). Optical Flow Estimation versus Motion Estimation. heiDOK (Heidelberg University). 2 indexed citations
15.
Meister, Stephan, Bernd Jähne, & Daniel Kondermann. (2011). An Outdoor Stereo Camera System for the Generation of Real-World Benchmark Datasets with Ground Truth. heiDOK (Heidelberg University). 7 indexed citations
16.
Meister, Stephan & Daniel Kondermann. (2011). Real versus realistically rendered scenes for optical flow evaluation. 1–6. 14 indexed citations
17.
18.
Kondermann, Daniel, et al.. (2008). MOTION ESTIMATION BASED ON A TEMPORAL MODEL OF FLUID FLOWS. 1 indexed citations
19.
Scholz, Judith, Paul Ruhnau, Daniel Kondermann, et al.. (2008). Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation. Experiments in Fluids. 45(4). 583–593. 2 indexed citations
20.
Kondermann, Daniel, et al.. (2007). Blood vessel classification into arteries and veins in retinal images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6512. 651247–651247. 70 indexed citations

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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