Dirk Hecker

32 papers receiving 304 citations

Peers

Dirk Hecker
Comparison fields: 5 of 67
  • Transportation 128
  • Geography, Planning and Development 39
  • Signal Processing 64
  • Health Informatics 8
  • Computer Vision and Pattern Recognition 85
Replace Cláudio de Souza Baptista with:
Cláudio de Souza Baptista Brazil
Rolando Quintero Mexico
Jiang-Ming Yang China
Guodao Sun China
José M. Noguera Spain
Marco Balduini Italy
Mark Shtern Canada
Thomas Kapler Finland
Kaiqun Fu United States
Raquel Trillo-Lado Spain
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Citations per year

Countries citing papers authored by Dirk Hecker

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Hecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201264
2 201954
3 201146
4 200823
5 201719
6 200814
7 202014
8 202210
9
A QUBO Formulation of the k-Medoids Problem.
20199
10 20138
11
Modelling and prospects of the audience measurement for outdoor advertising based on data collection using GPS devices (electronic passive measurement system)
20088
12 20166
13 20156
14 20095
15 20104
16 20103
17 20113
18 20173
19
Modelling missing values for audience measurement in outdoor advertising using GPS data
20092
20 20202

About Dirk Hecker

Dirk Hecker is a scholar working on Transportation, Signal Processing, Computer Vision and Pattern Recognition, Geography, Planning and Development and Management of Technology and Innovation, having authored 38 papers that have together received 318 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Human Mobility and Location-Based Analysis (9 papers), Data Visualization and Analytics (4 papers), Geographic Information Systems Studies (4 papers), Data-Driven Disease Surveillance (3 papers), Digital Innovation in Industries (3 papers), Big Data and Business Intelligence (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Transportation (128 citations), Geography, Planning and Development (39 citations), Signal Processing (64 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (85 citations). Dirk Hecker has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Natalia V. Andrienko, Gennady Andrienko, Hendrik Stange, Thomas Liebig, Stefan Wrobel, Michael E May, Daniel A. Schulz, Christine Körner, Simon Scheider and Georg Fuchs. Their work appears in journals such as Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Lecture notes in geoinformation and cartography and at - Automatisierungstechnik.

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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