Jan F. Eichner
Impact in
- Finance top 2%
- Financial Risk and Volatility Modeling
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- Chaos control and synchronization
Papers in
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- Complex Systems and Time Series Analysis 9
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- Climate variability and models 4
- Co-authors
- Armin Bunde (10 shared papers)Shlomo Havlin (5 shared papers)Jan W. Kantelhardt (5 shared papers)A. Pulkkinen (3 shared papers)E. Bernabeu (3 shared papers)Mikhail I. Bogachev (3 shared papers)Eva Koscielny–Bunde (2 shared papers)Hans Joachim Schellnhuber (2 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (2 papers)Climate Dynamics (2 papers)Physical Review Letters (2 papers)Pure and Applied Geophysics (1 paper)Space Weather (1 paper)
- Partner nations
- GermanyIsraelUnited States
In The Last Decade
Jan F. Eichner
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Finance 257
- Statistical and Nonlinear Physics 308
- Economics and Econometrics 667
- Global and Planetary Change 479
- Geophysics 270
Countries citing papers authored by Jan F. Eichner
This map shows the geographic impact of Jan F. Eichner'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 F. Eichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan F. Eichner more than expected).
Fields of papers citing papers by Jan F. Eichner
This network shows the impact of papers produced by Jan F. Eichner. 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 F. Eichner. The network helps show where Jan F. Eichner may publish in the future.
Co-authors
The 21 scholars most cited alongside Jan F. Eichner, 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 | 2005 | 262 | |
| 2 | 2003 | 190 | |
| 3 | 2012 | 183 | |
| 4 | 2007 | 119 | |
| 5 | 2007 | 102 | |
| 6 | 2015 | 77 | |
| 7 | 2003 | 73 | |
| 8 | 2006 | 69 | |
| 9 | 2019 | 64 | |
| 10 | 2013 | 58 | |
| 11 | 2015 | 56 | |
| 12 | 2004 | 49 | |
| 13 | 2008 | 25 | |
| 14 | 2008 | 24 | |
| 15 | 2022 | 11 | |
| 16 | Power-law persistence in the atmosphere: A detailed study of long temperature records | 2002 | 7 |
| 17 | 2021 | 5 |
About Jan F. Eichner
Jan F. Eichner is a scholar working on Economics and Econometrics, Global and Planetary Change, Molecular Biology, Finance and Condensed Matter Physics, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (9 papers), Financial Risk and Volatility Modeling (5 papers), Fractal and DNA sequence analysis (4 papers), Climate variability and models (4 papers), Meteorological Phenomena and Simulations (3 papers), Theoretical and Computational Physics (3 papers), Chaos control and synchronization (3 papers) and Earthquake Detection and Analysis (3 papers). The work is most often cited by research in Finance (257 citations), Statistical and Nonlinear Physics (308 citations), Economics and Econometrics (667 citations), Global and Planetary Change (479 citations) and Geophysics (270 citations). Jan F. Eichner has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Armin Bunde, Shlomo Havlin, Jan W. Kantelhardt, A. Pulkkinen, E. Bernabeu, Mikhail I. Bogachev, Eva Koscielny–Bunde, Hans Joachim Schellnhuber, Ciarán Beggan and Alan Thomson. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Climate Dynamics, Physical Review Letters, Pure and Applied Geophysics and Space Weather.
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.