Daniel Kurz

4.1k total citations · 1 hit paper
68 papers, 2.7k citations indexed

About

Daniel Kurz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Daniel Kurz has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Daniel Kurz's work include Robotics and Sensor-Based Localization (11 papers), Advanced Statistical Process Monitoring (9 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Daniel Kurz is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Advanced Statistical Process Monitoring (9 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Daniel Kurz collaborates with scholars based in Germany, Austria and United States. Daniel Kurz's co-authors include K.B. Sinclair, Ida Aju Pradnja Resosudarmo, Michael McNair, Célia A. Harvey, Ryan Blair, David Pimentel, Selim Benhimane, Jürgen Pilz, Edwin Gnos and Maximilian Posch and has published in prestigious journals such as Science, Geochimica et Cosmochimica Acta and Journal of Lipid Research.

In The Last Decade

Daniel Kurz

67 papers receiving 2.5k citations

Hit Papers

Environmental and Economic Costs of Soil Erosion and Cons... 1995 2026 2005 2015 1995 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kurz Germany 17 1.3k 660 446 445 342 68 2.7k
Pengfei Li China 29 704 0.5× 577 0.9× 420 0.9× 541 1.2× 154 0.5× 138 2.5k
Robert Grabowski United Kingdom 23 814 0.6× 1.4k 2.1× 666 1.5× 474 1.1× 329 1.0× 79 2.4k
Ana M. Tarquís Spain 31 795 0.6× 429 0.7× 317 0.7× 689 1.5× 72 0.2× 201 3.4k
Johannes B. Ries Germany 24 1.1k 0.8× 722 1.1× 220 0.5× 318 0.7× 486 1.4× 67 1.9k
Quanqin Shao China 31 796 0.6× 1.3k 2.0× 620 1.4× 1.8k 4.1× 219 0.6× 114 3.4k
Yue He China 26 248 0.2× 944 1.4× 372 0.8× 1.7k 3.9× 171 0.5× 84 3.7k
Osmar Abílio de Carvalho Júnior Brazil 27 336 0.3× 817 1.2× 256 0.6× 664 1.5× 99 0.3× 183 2.4k
Elisabeth N. Bui Australia 28 1.1k 0.9× 548 0.8× 202 0.5× 357 0.8× 145 0.4× 62 2.7k
Tal Svoray Israel 30 778 0.6× 805 1.2× 312 0.7× 870 2.0× 160 0.5× 99 2.4k
Tomáš Dostál Czechia 22 977 0.8× 575 0.9× 580 1.3× 252 0.6× 284 0.8× 148 2.2k

Countries citing papers authored by Daniel Kurz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kurz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kurz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kurz. A scholar is included among the top collaborators of Daniel Kurz 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 Kurz. Daniel Kurz 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.
Petracca, Maria, Raffaele Palladino, Amgad Droby, et al.. (2022). Disability outcomes in early-stage African American and White people with multiple sclerosis. Multiple Sclerosis and Related Disorders. 69. 104413–104413. 8 indexed citations
2.
Wang, Qian & Daniel Kurz. (2022). Reconstructing Training Data from Diverse ML Models by Ensemble Inversion. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3870–3878. 2 indexed citations
3.
Kurz, Daniel, et al.. (2021). Flexible time reduction method for burn‐in of high‐quality products. Quality and Reliability Engineering International. 37(6). 2900–2915. 1 indexed citations
5.
Kurz, Daniel, Rachel Brandstadter, Victoria M. Leavitt, et al.. (2020). Depression and cognitive function in early multiple sclerosis: Multitasking is more sensitive than traditional assessments. Multiple Sclerosis Journal. 27(8). 1276–1283. 13 indexed citations
7.
Kurz, Daniel, et al.. (2014). Smartwatch-aided handheld augmented reality.. 307–308. 5 indexed citations
8.
McMahon, Derek B., Daniel Kurz, Dharika Shah, et al.. (2014). Comparative gene identification 58/α/β hydrolase domain 5 lacks lysophosphatidic acid acyltransferase activity. Journal of Lipid Research. 55(8). 1750–1761. 22 indexed citations
9.
Merzlikin, Sergiy Vasil ́ović, Andrea M. Mingers, Daniel Kurz, & Achim Walter Hassel. (2014). An electrochemical calibration unit for hydrogen analysers. Talanta. 125. 257–264. 5 indexed citations
10.
Kurz, Daniel, Jürgen Pilz, Andrea Schirru, Simone Pampuri, & Cristina De Luca. (2014). A sampling decision system for semiconductor manufacturing - relying on virtual metrology and actual measurements. Proceedings of the Winter Simulation Conference 2014. 2649–2660. 3 indexed citations
11.
Knorr, Sebastian & Daniel Kurz. (2014). Real-time illumination estimation from faces for coherent rendering. 9. 113–122. 25 indexed citations
12.
Kurz, Daniel, et al.. (2014). Survey of recent advanced statistical models for early life failure probability assessment in semiconductor manufacturing. Proceedings of the Winter Simulation Conference 2014. 7. 2600–2608. 1 indexed citations
13.
Kurz, Daniel, Peter Meier, Alexander Plopski, & Gudrun Klinker. (2013). An outdoor ground truth evaluation dataset for sensor-aided visual handheld camera localization. 263–264. 11 indexed citations
14.
Kurz, Daniel, et al.. (2011). Dynamic Maintenance in semiconductor manufacturing using Bayesian networks. 238–243. 6 indexed citations
15.
Wanner, Christoph, Urs Eggenberger, Daniel Kurz, Sonja Zink, & Urs Mäder. (2011). A chromate-contaminated site in southern Switzerland – Part 1: Site characterization and the use of Cr isotopes to delineate fate and transport. Applied Geochemistry. 27(3). 644–654. 48 indexed citations
16.
Kurz, Daniel, Kiyoshi Kiyokawa, & Haruo Takemura. (2008). Mutual occlusions on table-top displays in mixed reality applications. 227–230. 2 indexed citations
17.
Seward, Diane, et al.. (2007). Comparative apatite fission track study of conventionally versus selFrag Lab fragmented samples. Geochimica et Cosmochimica Acta. 71. 3 indexed citations
18.
Alveteg, Mattias, Daniel Kurz, & Rolf Becker. (2002). Incorporating nutrient content elasticity in the MAKEDEP model. Lund University Publications (Lund University). 2002(1). 52–67. 4 indexed citations
19.
Kurz, Daniel, et al.. (1998). Integrated Assessment of Soil Chemical Status. 1. Integration of Existing Models and Derivation of a Regional Database for Switzerland. Water Air & Soil Pollution. 105(1-2). 1–9. 15 indexed citations
20.
Pimentel, David, Célia A. Harvey, Ida Aju Pradnja Resosudarmo, et al.. (1995). Environmental and Economic Costs of Soil Erosion and Conservation Benefits. Science. 267(5201). 1117–1123. 1969 indexed citations breakdown →

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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