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Max Tegmark (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Max Tegmark" in German language version.

refsWebsite
Global rank German rank
7arxiv.org
69th place
189th place
1rnd.de
2,679th place
179th place
1cser.ac.uk
low place
low place
1futureoflife.org
low place
3,886th place
1zdb-katalog.de
123rd place
6th place
1doi.org
2nd place
3rd place
1sciencemag.org
857th place
511th place
1heise.de
766th place
46th place

arxiv.org

  • Sie veröffentlichten 2004 eine Abschätzung kosmologischer Parameter aus dem SDSS und WMAP: Tegmark u. a.: Cosmological parameters from SDSS and WMAP. In: Phys. Review D, Band 69, 2004, S. 103501 (SDSS Kollaboration) arxiv:astro-ph/0310723
  • Tegmark, De Oliveira Costa, Andrew Hamilton: A high resolution foreground cleaned CMB map from WMAP. In: Phys. Review D, Band 68, 2003, S. 123523, arxiv:astro-ph/0302496.
  • Tegmark: Consciousness as a state of matter, 2014, arxiv:1401.1219
  • Tegmark: Second law and cosmology, 2009, arxiv:0904.3931.
  • Tegmark: Parallel Universes. arxiv:astro-ph/0302131 In: John D. Barrow, P. C. W. Davies, C. L. Harper Science and Ultimate Reality: From Quantum to Cosmos", honoring John Wheeler’s 90th birthday. Cambridge University Press, 2003
  • Tegmark: Is “the theory of everything” merely the ultimate ensemble theory? In: Annals of Physics, Band 270, 1998, S. 1–51, arxiv:gr-qc/9704009.
  • Tegmark: The mathematical universe. In: Foundations of Physics, Band 38, 2008, S. 101–150, arxiv:0704.0646.

cser.ac.uk

doi.org

  • Silviu-Marian Udrescu, Max Tegmark: AI Feynman: A physics-inspired method for symbolic regression. In: Science Advances. Band 6, Nr. 16, April 2020, ISSN 2375-2548, S. eaay2631, doi:10.1126/sciadv.aay2631 (sciencemag.org [abgerufen am 23. Februar 2021]).

futureoflife.org

heise.de

  • Wolfgang Stieler: KI sucht Naturgesetze. In: Technology Review, heise online. 23. Februar 2021, abgerufen am 23. Februar 2021.

rnd.de

sciencemag.org

advances.sciencemag.org

  • Silviu-Marian Udrescu, Max Tegmark: AI Feynman: A physics-inspired method for symbolic regression. In: Science Advances. Band 6, Nr. 16, April 2020, ISSN 2375-2548, S. eaay2631, doi:10.1126/sciadv.aay2631 (sciencemag.org [abgerufen am 23. Februar 2021]).

zdb-katalog.de

  • Silviu-Marian Udrescu, Max Tegmark: AI Feynman: A physics-inspired method for symbolic regression. In: Science Advances. Band 6, Nr. 16, April 2020, ISSN 2375-2548, S. eaay2631, doi:10.1126/sciadv.aay2631 (sciencemag.org [abgerufen am 23. Februar 2021]).