Daniel Schulz

477 citations
21 papers · 264 indexed · h-index 9

Impact in

Papers in

Daniel Schulz

19 papers receiving 257 citations

Peers

Daniel Schulz
Comparison fields: 5 of 72
  • Public Administration 16
  • Transportation 29
  • Computer Vision and Pattern Recognition 74
  • Mechanical Engineering 113
  • Artificial Intelligence 80
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Xiaohan Zhang China
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201186
2 201536
3 200928
4 201822
5 200814
6 201813
7 201112
8 200810
9 201610
10 20128
11 20175
12 20144
13 20224
14 20213
15
Sich mit dem Klima wandeln! Ein Tourismus-Klimafahrplan für Tourismusdestinationen
20093
16 20243
17 20251
18 20211
19 20131
20 20240

About Daniel Schulz

Daniel Schulz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Public Administration, Media Technology and Geography, Planning and Development, having authored 21 papers that have together received 264 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Image and Object Detection Techniques (3 papers), Mineral Processing and Grinding (3 papers), Data Management and Algorithms (2 papers), Video Surveillance and Tracking Methods (2 papers), Automated Road and Building Extraction (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Public Administration (16 citations), Transportation (29 citations), Computer Vision and Pattern Recognition (74 citations), Mechanical Engineering (113 citations) and Artificial Intelligence (80 citations). Daniel Schulz has collaborated with scholars based in Germany, Chile and Belgium. Frequent co-authors include Carlos A. Perez, P. A. Estévez, Luis E. Castillo, Francisco J. Galdames, Carlos Navarro, Marion Neumann, Zhao Xu, Kristian Kersting, Sigrid James and Michael May. Their work appears in journals such as International Journal of Mineral Processing, Transportation Research Part B Methodological, Journal of Atmospheric and Oceanic Technology, European Journal of Social Work and Bioinformatics.

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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