Daniel Schulz

477 total citations
21 papers, 264 citations indexed

About

Daniel Schulz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Mechanical Engineering. According to data from OpenAlex, Daniel Schulz has authored 21 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Mechanical Engineering. Recurrent topics in Daniel Schulz's work include Mineral Processing and Grinding (3 papers), Image and Object Detection Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Daniel Schulz is often cited by papers focused on Mineral Processing and Grinding (3 papers), Image and Object Detection Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Daniel Schulz collaborates with scholars based in Germany, Chile and Belgium. Daniel Schulz's co-authors include Carlos A. Perez, P. A. Estévez, Luis E. Castillo, Carlos Navarro, Francisco J. Galdames, Zhao Xu, Kristian Kersting, Marion Neumann, Sigrid James and Simon Scheider and has published in prestigious journals such as Bioinformatics, Neurocomputing and Transportation Research Part B Methodological.

In The Last Decade

Daniel Schulz

19 papers receiving 257 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 Schulz Germany 9 113 80 74 29 28 21 264
Donya Hajializadeh United Kingdom 14 164 1.5× 21 0.3× 18 0.2× 28 1.0× 49 1.8× 30 537
Xiaohan Zhang China 10 51 0.5× 55 0.7× 178 2.4× 16 0.6× 15 0.5× 31 411
Jiyun Li China 10 52 0.5× 89 1.1× 52 0.7× 8 0.3× 8 0.3× 59 326
Ruicong Han China 10 39 0.3× 23 0.3× 34 0.5× 12 0.4× 15 0.5× 19 337
Ye Yu China 10 33 0.3× 31 0.4× 254 3.4× 29 1.0× 43 1.5× 31 445
Wenying Zhang China 8 24 0.2× 77 1.0× 84 1.1× 15 0.5× 14 0.5× 36 328
Aijun An China 9 35 0.3× 84 1.1× 34 0.5× 2 0.1× 58 2.1× 13 371
Renzhuo Wan China 6 17 0.2× 70 0.9× 32 0.4× 10 0.3× 36 1.3× 11 304
Morteza Rahbar Iran 10 38 0.3× 41 0.5× 44 0.6× 14 0.5× 243 8.7× 20 418

Countries citing papers authored by Daniel Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schulz. A scholar is included among the top collaborators of Daniel Schulz 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 Schulz. Daniel Schulz 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.
Tapia, Juan, Daniel Schulz, & Christoph Busch. (2025). Single-morphing attack detection using few-shot learning and triplet-loss. Neurocomputing. 636. 130033–130033. 1 indexed citations
2.
3.
Schulz, Daniel, et al.. (2022). Identity Documents Image Quality Assessment. 2022 30th European Signal Processing Conference (EUSIPCO). 1017–1021. 4 indexed citations
4.
Schulz, Daniel, et al.. (2022). Human mobility from GSM data - A valid alternative to GPS?. Fraunhofer-Publica (Fraunhofer-Gesellschaft).
5.
Schulz, Daniel, et al.. (2021). New active learning algorithms for near-infrared spectroscopy in agricultural applications. at - Automatisierungstechnik. 69(4). 297–306. 1 indexed citations
6.
Schulz, Daniel, et al.. (2021). Cockpit Social Infrastructure. RePEc: Research Papers in Economics. 10(4). 104–120. 3 indexed citations
7.
James, Sigrid, et al.. (2018). Evidence-based practice and knowledge utilisation – a study of attitudes and practices among social workers in Germany. European Journal of Social Work. 22(5). 763–777. 22 indexed citations
8.
Perez, Carlos A., et al.. (2018). Trademark Image Retrieval Using a Combination of Deep Convolutional Neural Networks. 1–7. 13 indexed citations
9.
Schulz, Daniel, et al.. (2017). GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis. Bioinformatics. 33(15). 2258–2265. 5 indexed citations
10.
Knapen, Luk, Irith Ben‐Arroyo Hartman, Daniel Schulz, et al.. (2016). Determining structural route components from GPS traces. Transportation Research Part B Methodological. 90. 156–171. 10 indexed citations
11.
Perez, Carlos A., et al.. (2015). Rock lithological classification using multi-scale Gabor features from sub-images, and voting with rock contour information. International Journal of Mineral Processing. 144. 56–64. 36 indexed citations
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Perez, Carlos A., et al.. (2012). Lithological classification based on Gabor texture image analysis. 1–3. 8 indexed citations
15.
Schulz, Daniel, Theodore Younglove, & Matthew Barth. (2011). Statistical Analysis and Model Validation of Automobile Emissions. ROSA P. 3(2). 12 indexed citations
16.
Perez, Carlos A., et al.. (2011). Ore grade estimation by feature selection and voting using boundary detection in digital image analysis. International Journal of Mineral Processing. 101(1-4). 28–36. 86 indexed citations
17.
Neumann, Marion, Kristian Kersting, Zhao Xu, & Daniel Schulz. (2009). Stacked Gaussian Process Learning. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 387–396. 28 indexed citations
18.
Bartels, Claudia, Matthias Barth, Simon Burandt, et al.. (2009). Sich mit dem Klima wandeln! Ein Tourismus-Klimafahrplan für Tourismusdestinationen. 3 indexed citations
19.
May, Michael, et al.. (2008). A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 442–447. 14 indexed citations
20.
May, Michael, et al.. (2008). Pedestrian flow prediction in extensive road networks using biased observational data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 10 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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