Sign In

Login

Password

Forgot Password ? Sign Up

Der Schwarze Schwan (Nassim Nicholas Taleb) (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Der Schwarze Schwan (Nassim Nicholas Taleb)" in German language version.

refsWebsite
Global rank German rank
6doi.org
2nd place
3rd place
2zdb-katalog.de
123rd place
6th place
2faz.net
240th place
13th place
1randomhouse.de
low place
1,473rd place
1investopedia.com
1,135th place
2,437th place
1bloomberg.com
99th place
323rd place
1tagesspiegel.de
458th place
30th place
1google.de
2,106th place
139th place
1aps.org
1,503rd place
1,243rd place
1nih.gov
4th place
7th place
1springer.com
274th place
152nd place
1iop.org
1,725th place
1,346th place
1elsevier.com
610th place
521st place

aps.org

link.aps.org

  • Giordano De Marzo, Andrea Gabrielli, Andrea Zaccaria, Luciano Pietronero: Quantifying the unexpected: A scientific approach to Black Swans. In: Physical Review Research. Band 4, Nr. 3, 27. Juli 2022, S. 033079, doi:10.1103/PhysRevResearch.4.033079 (aps.org [abgerufen am 22. August 2022]).

bloomberg.com

  • Taleb Outsells Greenspan as Black Swan Gives Worst Turbulence. In: Bloomberg.com. 27. März 2008 (bloomberg.com [abgerufen am 16. Januar 2021]).

doi.org

  • Niklas Möller & Per Wikman-Svahn (2011): Black Elephants and Black Swans of Nuclear Safety, Ethics, Policy & Environment, 14:3, 273–278, doi:10.1080/21550085.2011.605853
  • Giordano De Marzo, Andrea Gabrielli, Andrea Zaccaria, Luciano Pietronero: Quantifying the unexpected: A scientific approach to Black Swans. In: Physical Review Research. Band 4, Nr. 3, 27. Juli 2022, S. 033079, doi:10.1103/PhysRevResearch.4.033079 (aps.org [abgerufen am 22. August 2022]).
  • Anthony J. Masys, Eugene Yee, Andrew Vallerand: ‘Black Swans’, ‘Dragon Kings’ and Beyond: Towards Predictability and Suppression of Extreme All-Hazards Events Through Modeling and Simulation. In: Applications of Systems Thinking and Soft Operations Research in Managing Complexity. Springer International Publishing, Cham 2016, ISBN 978-3-319-21105-3, S. 131–141, doi:10.1007/978-3-319-21106-0_7, PMC 7123893 (freier Volltext) – (springer.com [abgerufen am 20. September 2024]).
  • Iddo Eliazar: Black swans and dragon kings: A unified model. In: EPL (Europhysics Letters). Band 119, Nr. 6, 1. September 2017, ISSN 0295-5075, S. 60007, doi:10.1209/0295-5075/119/60007 (iop.org [abgerufen am 20. September 2024]).
  • Didier Sornette: Dragon-Kings, Black Swans and the Prediction of Crises. 2009, doi:10.48550/ARXIV.0907.4290.
  • Ben J.M. Ale, Des N.D. Hartford, David H. Slater: Dragons, black swans and decisions. In: Environmental Research. Band 183, April 2020, S. 109127, doi:10.1016/j.envres.2020.109127 (elsevier.com [abgerufen am 20. September 2024]).

elsevier.com

linkinghub.elsevier.com

  • Ben J.M. Ale, Des N.D. Hartford, David H. Slater: Dragons, black swans and decisions. In: Environmental Research. Band 183, April 2020, S. 109127, doi:10.1016/j.envres.2020.109127 (elsevier.com [abgerufen am 20. September 2024]).

faz.net

google.de

books.google.de

  • Encyclopaedia Perthensis, Bd. 22, Edinburgh 1816, S. 25. Online

investopedia.com

  • Investopedia Staff: Black Swan. Abgerufen am 16. Januar 2021 (englisch).

iop.org

iopscience.iop.org

nih.gov

ncbi.nlm.nih.gov

  • Anthony J. Masys, Eugene Yee, Andrew Vallerand: ‘Black Swans’, ‘Dragon Kings’ and Beyond: Towards Predictability and Suppression of Extreme All-Hazards Events Through Modeling and Simulation. In: Applications of Systems Thinking and Soft Operations Research in Managing Complexity. Springer International Publishing, Cham 2016, ISBN 978-3-319-21105-3, S. 131–141, doi:10.1007/978-3-319-21106-0_7, PMC 7123893 (freier Volltext) – (springer.com [abgerufen am 20. September 2024]).

randomhouse.de

springer.com

link.springer.com

  • Anthony J. Masys, Eugene Yee, Andrew Vallerand: ‘Black Swans’, ‘Dragon Kings’ and Beyond: Towards Predictability and Suppression of Extreme All-Hazards Events Through Modeling and Simulation. In: Applications of Systems Thinking and Soft Operations Research in Managing Complexity. Springer International Publishing, Cham 2016, ISBN 978-3-319-21105-3, S. 131–141, doi:10.1007/978-3-319-21106-0_7, PMC 7123893 (freier Volltext) – (springer.com [abgerufen am 20. September 2024]).

tagesspiegel.de

zdb-katalog.de

  • Was schiefgehen kann, geht auch irgendwie schief. In: FAZ.NET. ISSN 0174-4909 (faz.net [abgerufen am 16. Januar 2021]).
  • Iddo Eliazar: Black swans and dragon kings: A unified model. In: EPL (Europhysics Letters). Band 119, Nr. 6, 1. September 2017, ISSN 0295-5075, S. 60007, doi:10.1209/0295-5075/119/60007 (iop.org [abgerufen am 20. September 2024]).