Georg S. Seyboth

1.7k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Georg S. Seyboth is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Georg S. Seyboth has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 4 papers in Control and Systems Engineering and 1 paper in Molecular Biology. Recurrent topics in Georg S. Seyboth's work include Distributed Control Multi-Agent Systems (13 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Neural Networks Stability and Synchronization (9 papers). Georg S. Seyboth is often cited by papers focused on Distributed Control Multi-Agent Systems (13 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Neural Networks Stability and Synchronization (9 papers). Georg S. Seyboth collaborates with scholars based in Germany, Sweden and Australia. Georg S. Seyboth's co-authors include Karl Henrik Johansson, Dimos V. Dimarogonas, Frank Allgöwer, Changbin Yu, Jiahu Qin, Paolo Frasca, Gerd Schmidt, Brian D. O. Anderson, Zhiyong Sun and Héctor García de Marina and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Control Systems Technology.

In The Last Decade

Georg S. Seyboth

15 papers receiving 1.3k citations

Hit Papers

Event-based broadcasting for multi-agent average consensus 2012 2026 2016 2021 2012 250 500 750

Peers

Georg S. Seyboth
Comparison fields: 5 of 38
  • Computer Networks and Communications 1.2k
  • Control and Systems Engineering 629
  • Electrical and Electronic Engineering 232
  • Public Health, Environmental and Occupational Health 90
  • Aerospace Engineering 84
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Xiu You China
Ziyang Meng Sweden
Shan Zuo China
Chang‐E Ren China
Yunru Zhu China
Kaien Liu China
Xiuxia Yin China
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Citations per field, relative to Georg S. Seyboth
Georg S. Seyboth · 1×
Citations per year, relative to Georg S. Seyboth
Georg S. Seyboth · 1×

Countries citing papers authored by Georg S. Seyboth

Since Specialization
Citations

This map shows the geographic impact of Georg S. Seyboth'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 Georg S. Seyboth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg S. Seyboth more than expected).

Fields of papers citing papers by Georg S. Seyboth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georg S. Seyboth. 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 Georg S. Seyboth. The network helps show where Georg S. Seyboth may publish in the future.

Co-authorship network of co-authors of Georg S. Seyboth

This figure shows the co-authorship network connecting the top 25 collaborators of Georg S. Seyboth. A scholar is included among the top collaborators of Georg S. Seyboth 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 Georg S. Seyboth. Georg S. Seyboth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 59
2 13
3 15
4 74
5 5
6 10
7 73
8 2
9 4
10 25
11 8
12 2
13
Event-based broadcasting for multi-agent average consensus breakdown →
970
14 7
15 39

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.

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