Robert Görke
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Advanced Graph Neural Networks
Papers in
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- Complex Network Analysis Techniques 20
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- Advanced Clustering Algorithms Research 14
- Advanced Graph Neural Networks 4
- Co-authors
- Dorothea Wagner (18 shared papers)Marco Gaertler (9 shared papers)Daniel Delling (6 shared papers)Ulrik Brandes (3 shared papers)Martin Hoefer (3 shared papers)Zoran Nikoloski (3 shared papers)Christian Staudt (4 shared papers)Alexander Wolff (2 shared papers)
- Journals
- Journal of Graph Algorithms and Applications (2 papers)Lecture notes in computer science (10 papers)Networks and Heterogeneous Media (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- GermanyCzechiaUnited States
In The Last Decade
Robert Görke
24 papers receiving 1.2k citations
Robert Görke's Hit Papers
Peers
Comparison fields: 5 of 138
- Statistical and Nonlinear Physics 827
- Artificial Intelligence 427
- Computer Networks and Communications 225
- Transportation 50
- Computational Theory and Mathematics 113
Countries citing papers authored by Robert Görke
This map shows the geographic impact of Robert Görke'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 Robert Görke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Görke more than expected).
Fields of papers citing papers by Robert Görke
This network shows the impact of papers produced by Robert Görke. 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 Robert Görke. The network helps show where Robert Görke may publish in the future.
Co-authors
The 21 scholars most cited alongside Robert Görke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On Modularity Clustering Hit paper breakdown → | 2008 | 863 |
| 2 | 2007 | 127 | |
| 3 | 2006 | 48 | |
| 4 | 2009 | 32 | |
| 5 | 2010 | 32 | |
| 6 | 2013 | 24 | |
| 7 | 2010 | 24 | |
| 8 | 2007 | 17 | |
| 9 | 2007 | 13 | |
| 10 | 2008 | 12 | |
| 11 | 2012 | 10 | |
| 12 | 2009 | 10 | |
| 13 | 2012 | 7 | |
| 14 | 2008 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2008 | 5 | |
| 17 | 2008 | 5 | |
| 18 | 2011 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2010 | 3 |
About Robert Görke
Robert Görke is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (20 papers), Advanced Clustering Algorithms Research (14 papers), Data Management and Algorithms (9 papers), Advanced Graph Neural Networks (4 papers), Data Visualization and Analytics (3 papers), Peer-to-Peer Network Technologies (3 papers), Graph theory and applications (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (827 citations), Artificial Intelligence (427 citations), Computer Networks and Communications (225 citations), Transportation (50 citations) and Computational Theory and Mathematics (113 citations). Robert Görke has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Dorothea Wagner, Marco Gaertler, Daniel Delling, Ulrik Brandes, Martin Hoefer, Zoran Nikoloski, Christian Staudt, Alexander Wolff, Charles A. Conrad and Dorothea Wagner. Their work appears in journals such as Journal of Graph Algorithms and Applications, Lecture notes in computer science, Networks and Heterogeneous Media, IEEE Transactions on Knowledge and Data Engineering and BMC Systems Biology.
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.