Pablo Kaluza
- Statistical and Nonlinear Physics top 5%
- Global and Planetary Change top 10%
- Ecology top 10%
- Industrial and Manufacturing Engineering top 5%
- Transportation top 5%
- Co-authors
- Michael T. GastnerAndrea KölzschBernd BlasiusAlexander S. MikhailovMartin VingronHildegard Meyer‐OrtmannsMads IpsenJan Frederik Totz
- Topics
- Neural dynamics and brain function (6 papers)Gene Regulatory Network Analysis (6 papers)Nonlinear Dynamics and Pattern Formation (5 papers)
- Partner nations
- GermanyArgentinaUnited Kingdom
In The Last Decade
Pablo Kaluza
14 papers receiving 774 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 195
- Global and Planetary Change 152
- Ecology 150
- Industrial and Manufacturing Engineering 139
- Transportation 138
Countries citing papers authored by Pablo Kaluza
This map shows the geographic impact of Pablo Kaluza'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 Pablo Kaluza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Kaluza more than expected).
Fields of papers citing papers by Pablo Kaluza
This network shows the impact of papers produced by Pablo Kaluza. 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 Pablo Kaluza. The network helps show where Pablo Kaluza may publish in the future.
Co-authorship network of co-authors of Pablo Kaluza
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Kaluza. A scholar is included among the top collaborators of Pablo Kaluza 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 Pablo Kaluza. Pablo Kaluza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | Controlled pattern retrieval in a designed energy landscape | 1 |
| 10 | 10 | |
| 11 | The complex network of global cargo ship movementsbreakdown → | 672 |
| 12 | 21 | |
| 13 | 30 | |
| 14 | 24 | |
| 15 | 18 |
About Pablo Kaluza
Pablo Kaluza is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 15 papers that have together received 808 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Gene Regulatory Network Analysis (6 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Transportation (138 citations), Statistical and Nonlinear Physics (195 citations) and Industrial and Manufacturing Engineering (139 citations). Pablo Kaluza has collaborated with scholars based in Germany, Argentina and United Kingdom. Frequent co-authors include Michael T. Gastner, Andrea Kölzsch, Bernd Blasius, Alexander S. Mikhailov, Martin Vingron, Hildegard Meyer‐Ortmanns, Mads Ipsen, Jan Frederik Totz and Harald Engel. Their work appears in journals such as Neurocomputing, Europhysics Letters (EPL) and Journal of The Royal Society Interface.
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.