Jan Picek
Impact in
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Global and Planetary Change top 10%
- Hydrology and Drought Analysis
- Climate variability and models
Papers in
-
- Advanced Statistical Methods and Models 16
- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 6
- Statistical Distribution Estimation and Applications 5
- Finance 10
- Financial Risk and Volatility Modeling 10
- Co-authors
- Jan Kyselý (7 shared papers)Jana Jurečková (16 shared papers)Romana Beranová (2 shared papers)Ladislav Gaál (2 shared papers)Martin Schindler (4 shared papers)Radan Huth (1 shared paper)A. K. Md. Ehsanes Saleh (3 shared papers)Pranab K. Sen (1 shared paper)
- Journals
- Journal of Statistical Planning and Inference (3 papers)Computational Statistics & Data Analysis (2 papers)Genetics (1 paper)Environmetrics (1 paper)Extremes (1 paper)
- Partner nations
- CzechiaUnited StatesBelgium
In The Last Decade
Jan Picek
33 papers receiving 464 citations
Peers
Comparison fields: 5 of 87
- Statistics and Probability 141
- Global and Planetary Change 259
- Atmospheric Science 139
- Finance 73
- Statistics, Probability and Uncertainty 43
Countries citing papers authored by Jan Picek
This map shows the geographic impact of Jan Picek'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 Jan Picek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Picek more than expected).
Fields of papers citing papers by Jan Picek
This network shows the impact of papers produced by Jan Picek. 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 Jan Picek. The network helps show where Jan Picek may publish in the future.
Co-authors
The 23 scholars most cited alongside Jan Picek, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 81 | |
| 2 | 2010 | 78 | |
| 3 | 2010 | 50 | |
| 4 | 2007 | 33 | |
| 5 | 2005 | 33 | |
| 6 | 2019 | 29 | |
| 7 | 2006 | 23 | |
| 8 | 2012 | 22 | |
| 9 | 2007 | 18 | |
| 10 | 2001 | 13 | |
| 11 | 2010 | 13 | |
| 12 | 1999 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2003 | 10 | |
| 15 | 2009 | 10 | |
| 16 | 2008 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2004 | 6 | |
| 19 | 1997 | 6 | |
| 20 | 2008 | 5 |
About Jan Picek
Jan Picek is a scholar working on Statistics and Probability, Finance, Global and Planetary Change, Atmospheric Science and Management Science and Operations Research, having authored 36 papers that have together received 509 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Statistical Methods and Inference (10 papers), Financial Risk and Volatility Modeling (10 papers), Climate variability and models (7 papers), Hydrology and Drought Analysis (7 papers), Statistical Methods and Bayesian Inference (6 papers), Meteorological Phenomena and Simulations (6 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (141 citations), Global and Planetary Change (259 citations), Atmospheric Science (139 citations), Finance (73 citations) and Statistics, Probability and Uncertainty (43 citations). Jan Picek has collaborated with scholars based in Czechia, United States and Belgium. Frequent co-authors include Jan Kyselý, Jana Jurečková, Romana Beranová, Ladislav Gaál, Martin Schindler, Radan Huth, A. K. Md. Ehsanes Saleh, Pranab K. Sen, Pranab Kumar Sen and Jan Kalina. Their work appears in journals such as Journal of Statistical Planning and Inference, Computational Statistics & Data Analysis, Genetics, Environmetrics and Extremes.
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.