Miroslav Ŝimandl
Impact in
- Artificial Intelligence top 1%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
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- Fault Detection and Control Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
Papers in
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- Fault Detection and Control Systems 76
- Control Systems and Identification 50
- Advanced Control Systems Optimization 21
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- Target Tracking and Data Fusion in Sensor Networks 89
- Neural Networks and Applications 17
- Co-authors
- Jindřich DuníkOndřej StrakaJakub KrálovecIvo PunĉochářTorsten SöderströmPetr TichavskýErik BlaschT. Söderström
- Journals
- Automatica (6 papers)IEEE Transactions on Automatic Control (5 papers)Kybernetika (2 papers)International Journal of Adaptive Control and Signal Processing (2 papers)Neurocomputing (1 paper)
- Partner nations
- CzechiaUnited StatesSweden
In The Last Decade
Miroslav Ŝimandl
137 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 1.3k
- Control and Systems Engineering 873
- Aerospace Engineering 563
- Statistics, Probability and Uncertainty 113
- Computational Mathematics 7
Countries citing papers authored by Miroslav Ŝimandl
This map shows the geographic impact of Miroslav Ŝimandl'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 Miroslav Ŝimandl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miroslav Ŝimandl more than expected).
Fields of papers citing papers by Miroslav Ŝimandl
This network shows the impact of papers produced by Miroslav Ŝimandl. 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 Miroslav Ŝimandl. The network helps show where Miroslav Ŝimandl may publish in the future.
Co-authors
The 16 scholars most cited alongside Miroslav Ŝimandl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Design of discrete second order filters for continuous-discrete models | 2015 | 1 |
| 2 | Approximation of powers of Gaussian mixtures | 2015 | 2 |
| 3 | Comparison of adaptive and randomized unscented Kalman filter algorithms | 2014 | 9 |
| 4 | Linear fusion of estimators with Gaussian mixture errors under unknown dependences | 2014 | 5 |
| 5 | Measures of non-Gaussianity in unscented Kaiman filter framework | 2014 | 0 |
| 6 | Truncated randomized unscented Kalman filter for interval constrained state estimation | 2013 | 0 |
| 7 | On conservativeness of posterior density fusion | 2013 | 12 |
| 8 | Conservative merging of hypotheses given by probability densities | 2012 | 5 |
| 9 | Randomized unscented Kalman filter in target tracking | 2012 | 24 |
| 10 | Randomized unscented transform in state estimation of non-Gaussian systems: Algorithms and performance | 2012 | 10 |
| 11 | Performance evaluation of local state estimation methods in bearings-only tracking problems | 2011 | 10 |
| 12 | Particle filter with adaptive sample size. | 2011 | 9 |
| 13 | Gaussian sum unscented Kalman filter with adaptive scaling parameters | 2011 | 15 |
| 14 | Particle based probability density fusion with differential Shannon entropy criterion | 2011 | 13 |
| 15 | Gaussian mixtures proposal density in particle filter for track-before-detect | 2009 | 2 |
| 16 | Nonlinear state prediction by separation approach for continuous-discrete stochastic systems | 2008 | 1 |
| 17 | Prediction error dual controller | 2005 | 3 |
| 18 | Recursive parameters estimation and structure adaptation of neural network | 2005 | 1 |
| 19 | Information Processing Strategies and Multiple Model Fault Detection. | 2003 | 8 |
| 20 | Nonlinear Filtering Methods: Some Aspects and Performance Evaluation. | 2003 | 5 |
About Miroslav Ŝimandl
Miroslav Ŝimandl is a scholar working on Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 144 papers that have together received 1.8k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (89 papers), Fault Detection and Control Systems (76 papers), Control Systems and Identification (50 papers), Inertial Sensor and Navigation (30 papers), Advanced Control Systems Optimization (21 papers), Neural Networks and Applications (17 papers), Distributed Sensor Networks and Detection Algorithms (15 papers) and Structural Health Monitoring Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Control and Systems Engineering (873 citations), Aerospace Engineering (563 citations), Statistics, Probability and Uncertainty (113 citations) and Computational Mathematics (7 citations). Miroslav Ŝimandl has collaborated with scholars based in Czechia, United States and Sweden. Frequent co-authors include Jindřich Duník, Ondřej Straka, Jakub Královec, Ivo Punĉochář, Torsten Söderström, Petr Tichavský, Erik Blasch, T. Söderström, Ján Široký and Uwe D. Hanebeck. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, Kybernetika, International Journal of Adaptive Control and Signal Processing and Neurocomputing.
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.