Matthias Koenig
- Infectious Diseases
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Epidemiology
- Management Information Systems top 10%
- Co-authors
- Jay S. GoodmanJoern MeissnerM. Ann MellyWilliam SchaffnerDavid E. RogersJ. H. HashHeinz‐Otto PeitgenNiels Grabe
- Topics
- Antimicrobial Resistance in Staphylococcus (4 papers)Supply Chain and Inventory Management (4 papers)Microbial Metabolism and Applications (3 papers)
- Cited by
- MicrobiologyClinical Biochemistry
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Matthias Koenig
28 papers receiving 371 citations
Peers
Comparison fields: 5 of 116
- Infectious Diseases 104
- Molecular Biology 88
- Computer Vision and Pattern Recognition 73
- Epidemiology 62
- Management Information Systems 49
Countries citing papers authored by Matthias Koenig
This map shows the geographic impact of Matthias Koenig'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 Matthias Koenig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Koenig more than expected).
Fields of papers citing papers by Matthias Koenig
This network shows the impact of papers produced by Matthias Koenig. 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 Matthias Koenig. The network helps show where Matthias Koenig may publish in the future.
Co-authorship network of co-authors of Matthias Koenig
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Koenig. A scholar is included among the top collaborators of Matthias Koenig 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 Matthias Koenig. Matthias Koenig 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 23 | |
| 10 | 8 | |
| 11 | Visualization of local correlation in image registration. | 2 |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 40 | |
| 17 | 18 | |
| 18 | Lysostaphin: an enzymatic approach to staphylococcal disease. I. In vitro studies [SCHAFFNER, MELLY, HASH & KOENIG]. | 4 |
| 19 | 18 | |
| 20 | 44 |
About Matthias Koenig
Matthias Koenig is a scholar working on Management Information Systems, Endocrinology and Biotechnology, having authored 31 papers that have together received 449 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (4 papers), Supply Chain and Inventory Management (4 papers) and Microbial Metabolism and Applications (3 papers). The work is most often cited by research in Microbiology (37 citations), Clinical Biochemistry (40 citations) and Microbiology (36 citations). Matthias Koenig has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Jay S. Goodman, Joern Meissner, M. Ann Melly, William Schaffner, David E. Rogers, J. H. Hash, Heinz‐Otto Peitgen, Niels Grabe, W. M. Schreiber and Axel Baumann. Their work appears in journals such as Nature, New England Journal of Medicine and The Journal of Experimental Medicine.
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.