Daniel A. Schulz

491 citations
26 papers · 331 · h-index 10

Impact in

Papers in

    • Data Management and Algorithms 5
    • Biometric Identification and Security 4
    • Human Mobility and Location-Based Analysis 3
    • Transportation Planning and Optimization 2

Daniel A. Schulz

25 papers receiving 325 citations

Peers

Daniel A. Schulz
Comparison fields: 5 of 54
  • Fuel Technology 15
  • Transportation 28
  • Signal Processing 34
  • Industrial and Manufacturing Engineering 37
  • Computer Vision and Pattern Recognition 88
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Sarah V. Hernandez United States
Peilan He Singapore
Zhenbo Lu China
Nicolas Lefèbvre Norway
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Citations per year

Countries citing papers authored by Daniel A. Schulz

Since Specialization
Citations

This map shows the geographic impact of Daniel A. 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 A. 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 A. Schulz more than expected).

Fields of papers citing papers by Daniel A. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201188
2 201538
3 200931
4 201828
5 200822
6 201821
7 200814
8 201613
9 201112
10 202312
11 20129
12 20076
13 20145
14 20255
15 20214
16 20224
17 20244
18 20244
19 20113
20 20133

About Daniel A. Schulz

Daniel A. Schulz is a scholar working on Signal Processing, Transportation, Computer Vision and Pattern Recognition, Building and Construction and Geography, Planning and Development, having authored 26 papers that have together received 331 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), Biometric Identification and Security (4 papers), Human Mobility and Location-Based Analysis (3 papers), Mineral Processing and Grinding (3 papers), Transportation Planning and Optimization (2 papers), Image Retrieval and Classification Techniques (2 papers), Traffic Prediction and Management Techniques (2 papers) and Geographic Information Systems Studies (2 papers). The work is most often cited by research in Fuel Technology (15 citations), Transportation (28 citations), Signal Processing (34 citations), Industrial and Manufacturing Engineering (37 citations) and Computer Vision and Pattern Recognition (88 citations). Daniel A. Schulz has collaborated with scholars based in Germany, Chile and United States. Frequent co-authors include Carlos A. Perez, Pablo Estevez, Simon Scheider, Francisco J. Galdames, Kristian Kersting, Zhao Xu, Dirk Hecker, Marion Neumann, Michael May and Sigrid James. Their work appears in journals such as International Journal of Mineral Processing, European Journal of Social Work, Journal of Atmospheric and Oceanic Technology, Earth system science data and Transportation Research Part B Methodological.

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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