Marco Gaertler
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Dorothea WagnerUlrik BrandesRobert GörkeDaniel DellingMartin HoeferZoran NikoloskiMaurizio PatrignaniWalter Didimo
- Topics
- Complex Network Analysis Techniques (7 papers)Advanced Clustering Algorithms Research (5 papers)Data Visualization and Analytics (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Networks and Communications
In The Last Decade
Marco Gaertler
10 papers receiving 841 citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Statistical and Nonlinear Physics 557
- Artificial Intelligence 276
- Molecular Biology 176
- Computer Networks and Communications 153
- Computational Theory and Mathematics 83
Countries citing papers authored by Marco Gaertler
This map shows the geographic impact of Marco Gaertler'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 Marco Gaertler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Gaertler more than expected).
Fields of papers citing papers by Marco Gaertler
This network shows the impact of papers produced by Marco Gaertler. 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 Marco Gaertler. The network helps show where Marco Gaertler may publish in the future.
Co-authorship network of co-authors of Marco Gaertler
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Gaertler. A scholar is included among the top collaborators of Marco Gaertler 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 Marco Gaertler. Marco Gaertler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | KI in der Industrie 4.0: Orientierung, Anwendungsbeispiele, Handlungsempfehlungen | 2 |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | On Modularity Clusteringbreakdown → | 739 |
| 6 | 8 | |
| 7 | 43 | |
| 8 | 43 | |
| 9 | Dynamic Analysis of the Autonomous System Graph | 28 |
| 10 | 1 |
About Marco Gaertler
Marco Gaertler is a scholar working on Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 10 papers that have together received 879 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Advanced Clustering Algorithms Research (5 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (557 citations), Artificial Intelligence (276 citations) and Computer Networks and Communications (153 citations). Marco Gaertler has collaborated with scholars based in Germany, Italy and Czechia. Frequent co-authors include Dorothea Wagner, Ulrik Brandes, Robert Görke, Daniel Delling, Martin Hoefer, Zoran Nikoloski, Maurizio Patrignani, Walter Didimo, Antonios Symvonis and Florian Hübner. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Processing Letters and Networks and Heterogeneous Media.
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.