Tomáš Cipra
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
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- Advanced Statistical Process Monitoring
Papers in
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- Advanced Statistical Methods and Models 12
-
- Forecasting Techniques and Applications 7
- Co-authors
- Rosario Romera (3 shared papers)P. Tlustý (1 shared paper)Jan Kubát (1 shared paper)A. Fuchs (1 shared paper)
- Journals
- Kybernetika (8 papers)Journal of Forecasting (1 paper)Management Science (1 paper)Journal of Applied Probability (1 paper)Astin Bulletin (1 paper)
- Partner nations
- CzechiaSpainUnited States
In The Last Decade
Tomáš Cipra
43 papers receiving 240 citations
Peers
Comparison fields: 5 of 66
- Statistics and Probability 74
- Statistics, Probability and Uncertainty 50
- Management Science and Operations Research 80
- Finance 36
- Signal Processing 30
Countries citing papers authored by Tomáš Cipra
This map shows the geographic impact of Tomáš Cipra'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 Tomáš Cipra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Cipra more than expected).
Fields of papers citing papers by Tomáš Cipra
This network shows the impact of papers produced by Tomáš Cipra. 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 Tomáš Cipra. The network helps show where Tomáš Cipra may publish in the future.
Co-authors
The 4 scholars most cited alongside Tomáš Cipra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 49 | |
| 2 | 1992 | 37 | |
| 3 | Robust Kalman filter and its application in time series analysis | 1991 | 29 |
| 4 | 1995 | 21 | |
| 5 | 2010 | 14 | |
| 6 | 1995 | 12 | |
| 7 | Exponential smoothing for irregular time series | 2008 | 9 |
| 8 | 2006 | 9 | |
| 9 | EXPONENTIAL SMOOTHING FOR TIME SERIES WITH OUTLIERS | 2011 | 8 |
| 10 | 1991 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 1989 | 6 | |
| 13 | 1987 | 6 | |
| 14 | Study on Kalman filter in time series analysis | 1987 | 5 |
| 15 | 2020 | 5 | |
| 16 | Securitization of Longevity and Mortality Risk | 2010 | 4 |
| 17 | Systemic Risk in Financial Risk Regulation | 2017 | 4 |
| 18 | 2000 | 4 | |
| 19 | 1985 | 4 | |
| 20 | Detection and interpolation of outliers in biosignals. | 1990 | 4 |
About Tomáš Cipra
Tomáš Cipra is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Finance and Artificial Intelligence, having authored 51 papers that have together received 287 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (12 papers), Financial Risk and Volatility Modeling (8 papers), Forecasting Techniques and Applications (7 papers), Insurance, Mortality, Demography, Risk Management (6 papers), Insurance and Financial Risk Management (6 papers), Statistical and numerical algorithms (6 papers), Advanced Statistical Process Monitoring (5 papers) and Education, Psychology, and Social Research (4 papers). The work is most often cited by research in Statistics and Probability (74 citations), Statistics, Probability and Uncertainty (50 citations), Management Science and Operations Research (80 citations), Finance (36 citations) and Signal Processing (30 citations). Tomáš Cipra has collaborated with scholars based in Czechia, Spain and United States. Frequent co-authors include Rosario Romera, P. Tlustý, Jan Kubát and A. Fuchs. Their work appears in journals such as Kybernetika, Journal of Forecasting, Management Science, Journal of Applied Probability and Astin Bulletin.
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.