Frank Krüger
- Health, Toxicology and Mutagenesis top 5%
- Pollution top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Ecology
- Co-authors
- Thomas KirsteKristina YordanovaAlexander GröngröftBurkhard StachelRené SchwartzSteffen UhligHeinrich ReinckeRichard Meissner
- Topics
- Context-Aware Activity Recognition Systems (17 papers)Scientific Computing and Data Management (9 papers)Research Data Management Practices (7 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Frank Krüger
59 papers receiving 754 citations
Peers
Comparison fields: 5 of 132
- Health, Toxicology and Mutagenesis 186
- Pollution 163
- Computer Vision and Pattern Recognition 159
- Artificial Intelligence 150
- Ecology 70
Countries citing papers authored by Frank Krüger
This map shows the geographic impact of Frank Krüger'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 Frank Krüger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Krüger more than expected).
Fields of papers citing papers by Frank Krüger
This network shows the impact of papers produced by Frank Krüger. 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 Frank Krüger. The network helps show where Frank Krüger may publish in the future.
Co-authorship network of co-authors of Frank Krüger
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Krüger. A scholar is included among the top collaborators of Frank Krüger 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 Frank Krüger. Frank Krüger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | Distant Supervision for Silver Label Generation of Software Mentions in Social Scientific Publications. | 3 |
| 9 | 14 | |
| 10 | Abstracting from Observation-Equivalent Entities in Human Behavior Modeling. | 0 |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 8 | |
| 14 | 50 | |
| 15 | Monitoring Induced Seismicity with AE Sensors : The Influence of Unknown Calibration Functions | 1 |
| 16 | 0 | |
| 17 | Towards Tool Support for Computational Causal Behavior Models for Activity Recognition. | 1 |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 73 |
About Frank Krüger
Frank Krüger is a scholar working on Computational Mathematics, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 785 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (17 papers), Scientific Computing and Data Management (9 papers) and Research Data Management Practices (7 papers). The work is most often cited by research in Pollution (163 citations), Health, Toxicology and Mutagenesis (186 citations) and Computer Vision and Pattern Recognition (159 citations). Frank Krüger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Kirste, Kristina Yordanova, Alexander Gröngröft, Burkhard Stachel, René Schwartz, Steffen Uhlig, Heinrich Reincke, Richard Meissner, Karsten Grunewald and W Knoth. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.
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.