Petr Mandl
- Statistics and Probability top 1%
- Finance top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 5%
- Topics
- Control Systems and Identification (5 papers)Advanced Mathematical Modeling in Engineering (4 papers)Markov Chains and Monte Carlo Methods (4 papers)
- Partner nations
- CzechiaUnited StatesAustralia
In The Last Decade
Petr Mandl
32 papers receiving 922 citations
Peers
Comparison fields: 5 of 112
- Statistics and Probability 315
- Finance 201
- Artificial Intelligence 192
- Control and Systems Engineering 158
- Management Science and Operations Research 140
Countries citing papers authored by Petr Mandl
This map shows the geographic impact of Petr Mandl'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 Petr Mandl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Mandl more than expected).
Fields of papers citing papers by Petr Mandl
This network shows the impact of papers produced by Petr Mandl. 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 Petr Mandl. The network helps show where Petr Mandl may publish in the future.
Co-authorship network of co-authors of Petr Mandl
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Mandl. A scholar is included among the top collaborators of Petr Mandl 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 Petr Mandl. Petr Mandl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | ON LEAST SQUARES ESTIMATION IN CONTINUOUS TIME LINEAR STOCHASTIC SYSTEMS | 5 |
| 4 | On exponentially discounted adaptive control | 1 |
| 5 | On the consistency of a least squares identification procedure | 8 |
| 6 | On adaptive control of Markov processes | 8 |
| 7 | On controlled Markov processes with average cost criterion. | 7 |
| 8 | 349 | |
| 9 | A connection between controlled Markov chains and martingales | 12 |
| 10 | 6 | |
| 11 | The Kiefer-Wolfowitz approximation method in controlled Markov chains. | 0 |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 28 | |
| 19 | 9 | |
| 20 | 10 |
About Petr Mandl
Petr Mandl is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Control Systems and Identification (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Statistics and Probability (315 citations), Finance (201 citations) and Mathematical Physics (138 citations). Petr Mandl has collaborated with scholars based in Czechia, United States and Australia. Frequent co-authors include Marie Hušková, Peter Whittle, B. Pasik-Duncan, Tyrone E. Duncan, E. Seneta and Paul I. Feder. Their work appears in journals such as Technometrics, IEEE Transactions on Automatic Control and Biometrics.
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.