Michael Brückner
- Artificial Intelligence top 2%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Tobias SchefferSteffen BickelChristian KanzowTorsten FroschJürgen PoppKatja BeckerMaged N. Kamel BoulosShervin Shirmohammadi
- Topics
- Spam and Phishing Detection (4 papers)Semantic Web and Ontologies (4 papers)Machine Learning and Algorithms (3 papers)
In The Last Decade
Michael Brückner
21 papers receiving 791 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 549
- Information Systems 128
- Signal Processing 127
- Computer Networks and Communications 122
- Computer Vision and Pattern Recognition 119
Countries citing papers authored by Michael Brückner
This map shows the geographic impact of Michael Brückner'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 Michael Brückner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Brückner more than expected).
Fields of papers citing papers by Michael Brückner
This network shows the impact of papers produced by Michael Brückner. 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 Michael Brückner. The network helps show where Michael Brückner may publish in the future.
Co-authorship network of co-authors of Michael Brückner
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Brückner. A scholar is included among the top collaborators of Michael Brückner 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 Michael Brückner. Michael Brückner 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 | 5 | |
| 3 | HOME: Hybrid Ontology Mapping Evaluation Tool for Computer Science Curricula | 4 |
| 4 | Augmented Reality Application for Cultural and Historical Tourist Attraction Display (ARCH-TOUR) | 4 |
| 5 | 51 | |
| 6 | 5 | |
| 7 | On the Shortest Path Problem with Pair Constraints | 1 |
| 8 | 2 | |
| 9 | Static prediction games for adversarial learning problems | 97 |
| 10 | Nash Equilibria of Static Prediction Games | 40 |
| 11 | Discriminative Learning Under Covariate Shift | 138 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 50 | |
| 15 | 60 | |
| 16 | 225 | |
| 17 | 0 | |
| 18 | Highly Scalable Discriminative Spam Filtering. | 1 |
| 19 | 5 | |
| 20 | 2 |
About Michael Brückner
Michael Brückner is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 24 papers that have together received 843 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Semantic Web and Ontologies (4 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (549 citations), Signal Processing (127 citations) and Computer Science Applications (48 citations). Michael Brückner has collaborated with scholars based in Thailand, Germany and Canada. Frequent co-authors include Tobias Scheffer, Steffen Bickel, Christian Kanzow, Torsten Frosch, Jürgen Popp, Katja Becker, Maged N. Kamel Boulos, Shervin Shirmohammadi, Abdulsalam Yassine and Ralf Borndörfer. Their work appears in journals such as Analytica Chimica Acta, Journal of Machine Learning Research and Future Internet.
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.