Peter Seiler

13.1k citations
287 papers · 9.3k indexed · 3 hit papers · h-index 47

Peter Seiler

271 papers receiving 9.0k citations

Hit Papers

An H/sub /spl infin// approach to networked control578199420262004201550010001.5k

Peers

Peter Seiler
Comparison fields: 5 of 193
  • Control and Systems Engineering 3.8k
  • Immunology 2.1k
  • Statistics, Probability and Uncertainty 525
  • Automotive Engineering 554
  • Infectious Diseases 828
Replace M. Steinbuch with:
M. Steinbuch Netherlands
Kazuo Tanaka Japan
Tom Dhaene Belgium
H. T. Banks United States
Masao Ikeda Japan
Mark Cannon United Kingdom
Ronald Rosenberg United States
Robert F. Stengel United States
J. F. Gómez‐Aguilar Mexico
Michael A. Demetriou United States
Peter Seiler relative to M. Steinbuch Netherlands M. Steinbuch's profile →
Citations per field
00.5×8.6×
M. Steinbuch · 1×
Citations per year

Countries citing papers authored by Peter Seiler

Since Specialization
Citations

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

Fields of papers citing papers by Peter Seiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Seiler. 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 Peter Seiler. The network helps show where Peter Seiler may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Peter Seiler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Seiler Line = papers co-authored together Peter Seiler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20230
4 20230
5 20231
6 202138
7 202111
8 20219
9 20219
10 202182
11 20206
12 20208
13
Tractable Reinforcement Learning of Signal Temporal Logic Objectives
20201
14
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints
20171
15
Input-output dynamic mode decomposition
20151
16
Rom zeichnen : Maarten van Heemskerck 1532-1536/37
20122
17
Imitatio als Transformation : Theorie und Praxis der Antikennachahmung in der frühen Neuzeit
20120
18 2003177
19 200351
20 199847

About Peter Seiler

Peter Seiler is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 287 papers that have together received 9.3k indexed citations. Recurring topics across this work include Control Systems and Identification (80 papers), Stability and Control of Uncertain Systems (67 papers), Fault Detection and Control Systems (46 papers), Probabilistic and Robust Engineering Design (43 papers), Advanced Control Systems Optimization (39 papers), Model Reduction and Neural Networks (28 papers), Aerospace and Aviation Technology (22 papers) and Wind Energy Research and Development (21 papers). The work is most often cited by research in Control and Systems Engineering (3.8k citations), Immunology (2.1k citations) and Statistics, Probability and Uncertainty (525 citations). Peter Seiler has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Raja Sengupta, Rolf M. Zinkernagel, Hans Hengartner, Bernhard Odermatt, Gary Balas, David Kägi, Andrew Packard, Avnika Pant, Karl Hedrick and Kurt Bürki. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Robust and Nonlinear Control, IEEE Control Systems Letters, Automatica and Journal of Guidance Control and Dynamics.

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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