Dirk Burkhardt
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Management Science and Operations Research
- Management Information Systems
- Co-authors
- Kawa NazemiPiero P. BonissoneJörn KohlhammerEgīls GintersDieter W. FellnerArjan KuijperAlexander KockDavid Hoppe
- Topics
- Data Visualization and Analytics (21 papers)Semantic Web and Ontologies (10 papers)Advanced Text Analysis Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionGeography, Planning and DevelopmentArtificial Intelligence
In The Last Decade
Dirk Burkhardt
32 papers receiving 156 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 77
- Computer Vision and Pattern Recognition 63
- Information Systems 30
- Management Science and Operations Research 19
- Management Information Systems 17
Countries citing papers authored by Dirk Burkhardt
This map shows the geographic impact of Dirk Burkhardt'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 Burkhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Burkhardt more than expected).
Fields of papers citing papers by Dirk Burkhardt
This network shows the impact of papers produced by Dirk Burkhardt. 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 Burkhardt. The network helps show where Dirk Burkhardt may publish in the future.
Co-authorship network of co-authors of Dirk Burkhardt
This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Burkhardt. A scholar is included among the top collaborators of Dirk Burkhardt 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 Dirk Burkhardt. Dirk Burkhardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | Visual Dashboards in Trend Analytics to Observe Competitors and Leading Domain Experts. | 2 |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | Fupol simulators and advanced visualization framework integration | 1 |
| 13 | 2 | |
| 14 | Analytical Semantics Visualization for Discovering Latent Signals in Large Text Collections | 0 |
| 15 | 16 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Semantic Visualization Cockpit: Adaptable Composition of Semantics-Visualization Techniques for Knowledge-Exploration | 5 |
| 19 | 1 | |
| 20 | 35 |
About Dirk Burkhardt
Dirk Burkhardt is a scholar working on Computer Vision and Pattern Recognition, Management Information Systems and Geography, Planning and Development, having authored 35 papers that have together received 163 indexed citations. Recurring topics across this work include Data Visualization and Analytics (21 papers), Semantic Web and Ontologies (10 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (63 citations), Geography, Planning and Development (14 citations) and Artificial Intelligence (77 citations). Dirk Burkhardt has collaborated with scholars based in Germany, Latvia and Austria. Frequent co-authors include Kawa Nazemi, Piero P. Bonissone, Jörn Kohlhammer, Egīls Ginters, Dieter W. Fellner, Arjan Kuijper, Alexander Kock, David Hoppe, Christian Stab and Melanie Siegel. Their work appears in journals such as IEEE Computer Graphics and Applications, Multimedia Tools and Applications and Procedia Manufacturing.
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.