Björn S. Rüffer

836 total citations
31 papers, 505 citations indexed

About

Björn S. Rüffer is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Björn S. Rüffer has authored 31 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 9 papers in Computer Networks and Communications and 4 papers in Computational Theory and Mathematics. Recurrent topics in Björn S. Rüffer's work include Control and Stability of Dynamical Systems (20 papers), Stability and Control of Uncertain Systems (18 papers) and Stability and Controllability of Differential Equations (6 papers). Björn S. Rüffer is often cited by papers focused on Control and Stability of Dynamical Systems (20 papers), Stability and Control of Uncertain Systems (18 papers) and Stability and Controllability of Differential Equations (6 papers). Björn S. Rüffer collaborates with scholars based in Germany, Australia and Japan. Björn S. Rüffer's co-authors include Sergey Dashkovskiy, Hiroshi Ito, Christopher M. Kellett, Fabian Wirth, Steven R. Weller, Anders Rantzer, Nathan van de Wouw, Markus Mueller, Gunther Dirr and Zhong‐Ping Jiang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Systems & Control Letters.

In The Last Decade

Björn S. Rüffer

31 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Björn S. Rüffer Germany 12 432 138 43 42 35 31 505
Éva Gyurkovics Hungary 11 315 0.7× 156 1.1× 69 1.6× 22 0.5× 14 0.4× 42 392
Shuo Li China 15 546 1.3× 308 2.2× 37 0.9× 36 0.9× 10 0.3× 39 591
Florian Knorn Ireland 6 227 0.5× 194 1.4× 27 0.6× 12 0.3× 14 0.4× 8 334
V. Van Assche France 7 355 0.8× 109 0.8× 30 0.7× 52 1.2× 8 0.2× 17 426
Shen Cong China 10 244 0.6× 153 1.1× 60 1.4× 26 0.6× 7 0.2× 42 300
Jan Maximilian Montenbruck Germany 10 186 0.4× 147 1.1× 25 0.6× 37 0.9× 18 0.5× 31 299
Zhengguo Huang China 10 404 0.9× 306 2.2× 42 1.0× 58 1.4× 20 0.6× 15 519
Liron I. Allerhand Israel 7 591 1.4× 164 1.2× 49 1.1× 16 0.4× 10 0.3× 14 621
Nima Yeganefar France 5 399 0.9× 240 1.7× 29 0.7× 64 1.5× 8 0.2× 7 503
Christophe Fiter France 7 407 0.9× 192 1.4× 58 1.3× 25 0.6× 6 0.2× 26 473

Countries citing papers authored by Björn S. Rüffer

Since Specialization
Citations

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

Fields of papers citing papers by Björn S. Rüffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn S. Rüffer

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

All Works

20 of 20 papers shown
1.
Guiver, Chris, Hartmut Logemann, & Björn S. Rüffer. (2018). Small-gain stability theorems for positive Lur’e inclusions. Positivity. 23(2). 249–289. 4 indexed citations
2.
Rüffer, Björn S., et al.. (2017). A Lyapunov function construction for the Douglas-Rachford operator in a non-convex setting. arXiv (Cornell University). 1 indexed citations
3.
Noroozi, Navid, et al.. (2017). Nonconservative Discrete-Time ISS Small-Gain Conditions for Closed Sets. IEEE Transactions on Automatic Control. 63(5). 1231–1242. 22 indexed citations
4.
Rüffer, Björn S. & Hiroshi Ito. (2015). Sum-separable Lyapunov functions for networks of ISS systems: A gain function approach. 1823–1828. 2 indexed citations
5.
Ito, Hiroshi, Björn S. Rüffer, & Anders Rantzer. (2014). Max- and sum-separable Lyapunov functions for monotone systems and their level sets. 2371–2377. 11 indexed citations
6.
Noroozi, Navid & Björn S. Rüffer. (2014). Non-conservative dissipativity and small-gain theory for ISS networks. 3131–3136. 4 indexed citations
7.
Rüffer, Björn S., Nathan van de Wouw, & Markus Mueller. (2013). Convergent systems vs. incremental stability. Systems & Control Letters. 62(3). 277–285. 59 indexed citations
8.
Rantzer, Anders, Björn S. Rüffer, & Gunther Dirr. (2013). Separable Lyapunov functions for monotone systems. Lund University Publications (Lund University). 4590–4594. 15 indexed citations
9.
Ito, Hiroshi & Björn S. Rüffer. (2013). A two-phase approach to stability of networks given in iISS framework: Utilization of a matrix-like criterion. 32. 4838–4843. 1 indexed citations
10.
Dashkovskiy, Sergey, Zhong‐Ping Jiang, & Björn S. Rüffer. (2012). Special issue on robust stability and control of large-scale nonlinear systems. Mathematics of Control Signals and Systems. 24(1-2). 1–2. 2 indexed citations
11.
Rüffer, Björn S., Nathan van de Wouw, & Markus Mueller. (2012). From convergent dynamics to incremental stability. TU/e Research Portal. 7. 2958–2963. 1 indexed citations
12.
Dashkovskiy, Sergey, Björn S. Rüffer, & Fabian Wirth. (2012). Small gain theorems for large scale systems and construction of ISS Lyapunov functions. 4165–4170. 2 indexed citations
13.
Rüffer, Björn S. & Fabian Wirth. (2011). Stability verification for monotone systems using homotopy algorithms. Numerical Algorithms. 58(4). 529–543. 5 indexed citations
14.
Dashkovskiy, Sergey & Björn S. Rüffer. (2010). Local ISS of large-scale interconnections and estimates for stability regions. Systems & Control Letters. 59(3-4). 241–247. 38 indexed citations
15.
Rüffer, Björn S., Christopher M. Kellett, Peter M. Dower, & Steven R. Weller. (2010). Belief propagation as a dynamical system: the linear case and open problems. IET Control Theory and Applications. 4(7). 1188–1200. 8 indexed citations
16.
Rüffer, Björn S., Rudolf Sailer, & Fabian Wirth. (2010). Comments on "A Multichannel IOS Small Gain Theorem for Systems With Multiple Time-Varying Communication Delays. IEEE Transactions on Automatic Control. 55(7). 1722–1725. 6 indexed citations
17.
Rüffer, Björn S., Christopher M. Kellett, & Steven R. Weller. (2009). Integral input-to-state stability of interconnected iISS systems by means of a lower-dimensional comparison system. 55 ii. 638–643. 4 indexed citations
18.
Rüffer, Björn S.. (2009). Monotone inequalities, dynamical systems, and paths in the positive orthant of Euclidean n-space. Positivity. 14(2). 257–283. 55 indexed citations
19.
Dashkovskiy, Sergey, Björn S. Rüffer, & Fabian Wirth. (2007). A LYAPUNOV ISS SMALL-GAIN THEOREM FOR STRONGLY CONNECTED NETWORKS. IFAC Proceedings Volumes. 40(12). 258–263. 12 indexed citations
20.
Dashkovskiy, Sergey, Björn S. Rüffer, & Fabian Wirth. (2006). A small-gain type stability criterion for large scale networks of ISS systems. 5633–5638. 20 indexed citations

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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