Ulrik Brandes
- Statistical and Nonlinear Physics top 0.1%
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 0.5%
- Sociology and Political Science top 1%
- Co-authors
- Thomas ErlebachDorothea WagnerJürgen LernerChristian PichMarco GaertlerMartin HoeferRobert GörkeDaniel Delling
- Topics
- Complex Network Analysis Techniques (59 papers)Data Visualization and Analytics (50 papers)Opinion Dynamics and Social Influence (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Ulrik Brandes
132 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Statistical and Nonlinear Physics 3.4k
- Artificial Intelligence 1.4k
- Computer Networks and Communications 1.3k
- Computer Vision and Pattern Recognition 1.3k
- Sociology and Political Science 1.1k
Countries citing papers authored by Ulrik Brandes
This map shows the geographic impact of Ulrik Brandes'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 Ulrik Brandes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrik Brandes more than expected).
Fields of papers citing papers by Ulrik Brandes
This network shows the impact of papers produced by Ulrik Brandes. 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 Ulrik Brandes. The network helps show where Ulrik Brandes may publish in the future.
Co-authorship network of co-authors of Ulrik Brandes
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrik Brandes. A scholar is included among the top collaborators of Ulrik Brandes 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 Ulrik Brandes. Ulrik Brandes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 65 | |
| 6 | 14 | |
| 7 | Flexible Level-of-Detail Rendering for Large Graphs | 1 |
| 8 | 19 | |
| 9 | 22 | |
| 10 | 14 | |
| 11 | 26 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | Network Analysis: Methodological Foundations (Lecture Notes in Computer Science) | 115 |
| 15 | Dynamic spectral layout of small worlds | 1 |
| 16 | 135 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | Exploratory Network Visualization : Simultaneous Display of Actor Status and Connections | 57 |
| 20 | 1 |
About Ulrik Brandes
Ulrik Brandes is a scholar working on Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 139 papers that have together received 8.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (59 papers), Data Visualization and Analytics (50 papers) and Opinion Dynamics and Social Influence (23 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.4k citations), Computer Vision and Pattern Recognition (1.3k citations) and Communication (418 citations). Ulrik Brandes has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Thomas Erlebach, Dorothea Wagner, Jürgen Lerner, Christian Pich, Marco Gaertler, Martin Hoefer, Robert Görke, Daniel Delling, Zoran Nikoloski and Patrick Kenis. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.