Kröger: selected publications All All Article Preprint Proc Report Thesis Book Book Review Patent Review Project All latest All 2024 All 2023 All 2022 All 2021 All 2020 All 2019 All 2018 All 2017 All 2016 All 2015 All 2014 All 2013 All 2012 All 2011 All 2010 All 2009 All 2008 All 2007 All 2006 All 2005 All 2004 All 2003 All 2002 All 2001 All 2000 All 1999 All 1998 All 1997 All 2025 by default year impact cited downloads downloads/a submission author title journal classical default bibitems bibtex Hcitations newcommand twiki (&y=year) citations per author impact per author bibtex e-collection abstracts hide pdf's show images matching keyword & author 21 selected entries 2024 Article R. Schlickeiser, M. Kröger Mathematics of Epidemics: On the General Solution of SIRVD, SIRV, SIRD and SIR Compartment ModelsMathematics 12 (2024) 941 [DOI:10.3390/math12070941] Preprint N. Herard, R. Annapooranan, T. Henry, M. Kröger, S. Cai, N. Boechler, Y. Sliozberg Modeling liquid crystal elastomer synthesis, mechanics, and thermal actuation via coarse-grained molecular dynamicsSoft Matter (2024) submitted 3 May 2024 Preprint M. Carignano, M. Kröger, L. Almassalha, V. Agrawal, W.S. Li, E.M. Pujadas, R.J. Nap, V. Beckman, I. Szleifer Local volume concentration, packing domains and scaling properties of chromatineLife (2024) arXiv:2310.02257 submitted 9 Jan 2024 Preprint N.A. Babei, M. Kröger, T. Özer Dynamical Behavior of the SEIARM-COVID-19 related modelsPhysica D (2024) submitted 6 May 2024 Article N.A. Babei, M. Kröger, T. Özer Theoretical analysis of a SIRD model with constant amount of alive population and Covid–19 applicationsAppl. Math. Model. 127 (2024) 237-258 [DOI:10.1016/j.apm.2023.12.006] 2023 Article 1.0/a Σ 1 R. Schlickeiser, M. Kröger Analytical solution of the Susceptible-Infected-Recovered/Removed model for the not too late temporal evolution of epidemics for general time-dependent recovery and infection ratesCovid 3 (2023) 1781-1796 [DOI:10.3390/covid3120123] Article 1.0/a Σ 1 R. Schlickeiser, M. Kröger Key epidemic parameters of the SIRV model determined from past Covid-19 mutant wavesCovid 3 (2023) 592-600 [DOI:10.3390/covid3040042] Article 2.1/a Σ 2 R. Schlickeiser, M. Kröger Determination of a key pandemic parameter of the SIR-epidemic model from past Covid-19 mutant waves and its variation for the validity of the Gaussian evolutionPhysics 5 (2023) 205-214 [DOI:10.3390/physics5010016] 2022 Article 2.6/a Σ 5 R. Schlickeiser, M. Kröger Forecast of omicron wave time evolutionCovid 2 (2022) 216-229 [DOI:10.3390/covid2030017 ] 2021 Article 1.0/a Σ 3 R. Schlickeiser, M. Kröger Reasonable limiting of 7-day incidence per hundred thousand value and herd immunization in Germany and other countriesCovid 1 (2021) 130-136 [DOI:10.3390/covid1010012] Article 6.8/a Σ 20 R. Schlickeiser, M. Kröger Analytical modeling of the temporal evolution of epidemics outbreaks accounting for vaccinationsPhysics 3 (2021) 386-426 [DOI:10.3390/physics3020028] Article 2.0/a Σ 6 R. Schlickeiser, M. Kröger Epidemics forecast from SIR-modeling, verification and calculated effects of lockdown and lifting of interventionsFrontiers Phys. 8 (2021) 593421 [DOI:10.3389/fphy.2020.593421] Article 2.3/a Σ 7 M. Kröger, R. Schlickeiser Verification of the accuracy of the SIR model in forecasting based on the improved SIR model with a constant ratio of recovery to infection rate by comparing with monitored second wave dataR. Soc. Open Sci. 8 (2021) 211379 [DOI:10.1098/rsos.211379] Article 4.7/a Σ 14 M. Kröger, M. Turkyilmazoglu, R. Schlickeiser Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use?Physica D 425 (2021) 132981 [DOI:10.1016/j.physd.2021.132981] 2020 Proc J. Schüttler, R. Schlickeisen, F. Schlickeisen, M. Kröger Covid-19 predictions using a Gauss model, based on data from April 2Preprints (2020) 2020040175 [DOI:10.20944/preprints202004.0175.v1] Article 9.1/a Σ 36 J. Schüttler, R. Schlickeiser, F. Schlickeiser, M. Kröger Covid-19 predictions using a Gauss model, based on data from April 2Physics 2 (2020) 197-212 [10.3390/physics2020013] Book R. Schlickeiser, M. Kröger Physics Methods in Coronavirus Pandemic AnalysisPhysics (2020) Open Access »» Article R. Schlickeiser, M. Kröger First consistent determination of the basic reproduction number for the first Covid-19 wave in 71 countries from the SIR-epidemics model with a constant ratio of recovery to infection rateGlobal J. Front. Res. F 20 (2020) 37-43 [DOI:10.34257/GJSFRFVOL20IS8PG37] Article R. Schlickeiser, M. Kröger Dark numbers and herd immunity of the first Covid-19 wave and future social interventionsEpidem. Int. J. 4 (2020) 000152 [DOI:10.23880/eij-16000152] Article 2.2/a Σ 9 M. Kröger, R. Schlickeiser Gaussian doubling times and reproduction factors of the COVID-19 pandemic diseaseFrontiers Phys. 8 (2020) 276 [DOI:10.3389/fphy.2020.00276] 2019 Proc T. Weber, G. Hofer, A. Simonov, M. Kröger, D. Schlüter Understanding two-dimensional polymerisation using Bragg and diffuse X-ray scatteringActa Cryst. 74 (2019) e427 © 21 May 2024 mk@mat.ethz.ch 21 out of 816 entries requested projected 2k3-H: 2 + [H-factor to-date: > 5]
21 selected entries 2024 Article R. Schlickeiser, M. Kröger Mathematics of Epidemics: On the General Solution of SIRVD, SIRV, SIRD and SIR Compartment ModelsMathematics 12 (2024) 941 [DOI:10.3390/math12070941] Preprint N. Herard, R. Annapooranan, T. Henry, M. Kröger, S. Cai, N. Boechler, Y. Sliozberg Modeling liquid crystal elastomer synthesis, mechanics, and thermal actuation via coarse-grained molecular dynamicsSoft Matter (2024) submitted 3 May 2024 Preprint M. Carignano, M. Kröger, L. Almassalha, V. Agrawal, W.S. Li, E.M. Pujadas, R.J. Nap, V. Beckman, I. Szleifer Local volume concentration, packing domains and scaling properties of chromatineLife (2024) arXiv:2310.02257 submitted 9 Jan 2024 Preprint N.A. Babei, M. Kröger, T. Özer Dynamical Behavior of the SEIARM-COVID-19 related modelsPhysica D (2024) submitted 6 May 2024 Article N.A. Babei, M. Kröger, T. Özer Theoretical analysis of a SIRD model with constant amount of alive population and Covid–19 applicationsAppl. Math. Model. 127 (2024) 237-258 [DOI:10.1016/j.apm.2023.12.006] 2023 Article 1.0/a Σ 1 R. Schlickeiser, M. Kröger Analytical solution of the Susceptible-Infected-Recovered/Removed model for the not too late temporal evolution of epidemics for general time-dependent recovery and infection ratesCovid 3 (2023) 1781-1796 [DOI:10.3390/covid3120123] Article 1.0/a Σ 1 R. Schlickeiser, M. Kröger Key epidemic parameters of the SIRV model determined from past Covid-19 mutant wavesCovid 3 (2023) 592-600 [DOI:10.3390/covid3040042] Article 2.1/a Σ 2 R. Schlickeiser, M. Kröger Determination of a key pandemic parameter of the SIR-epidemic model from past Covid-19 mutant waves and its variation for the validity of the Gaussian evolutionPhysics 5 (2023) 205-214 [DOI:10.3390/physics5010016] 2022 Article 2.6/a Σ 5 R. Schlickeiser, M. Kröger Forecast of omicron wave time evolutionCovid 2 (2022) 216-229 [DOI:10.3390/covid2030017 ] 2021 Article 1.0/a Σ 3 R. Schlickeiser, M. Kröger Reasonable limiting of 7-day incidence per hundred thousand value and herd immunization in Germany and other countriesCovid 1 (2021) 130-136 [DOI:10.3390/covid1010012] Article 6.8/a Σ 20 R. Schlickeiser, M. Kröger Analytical modeling of the temporal evolution of epidemics outbreaks accounting for vaccinationsPhysics 3 (2021) 386-426 [DOI:10.3390/physics3020028] Article 2.0/a Σ 6 R. Schlickeiser, M. Kröger Epidemics forecast from SIR-modeling, verification and calculated effects of lockdown and lifting of interventionsFrontiers Phys. 8 (2021) 593421 [DOI:10.3389/fphy.2020.593421] Article 2.3/a Σ 7 M. Kröger, R. Schlickeiser Verification of the accuracy of the SIR model in forecasting based on the improved SIR model with a constant ratio of recovery to infection rate by comparing with monitored second wave dataR. Soc. Open Sci. 8 (2021) 211379 [DOI:10.1098/rsos.211379] Article 4.7/a Σ 14 M. Kröger, M. Turkyilmazoglu, R. Schlickeiser Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use?Physica D 425 (2021) 132981 [DOI:10.1016/j.physd.2021.132981] 2020 Proc J. Schüttler, R. Schlickeisen, F. Schlickeisen, M. Kröger Covid-19 predictions using a Gauss model, based on data from April 2Preprints (2020) 2020040175 [DOI:10.20944/preprints202004.0175.v1] Article 9.1/a Σ 36 J. Schüttler, R. Schlickeiser, F. Schlickeiser, M. Kröger Covid-19 predictions using a Gauss model, based on data from April 2Physics 2 (2020) 197-212 [10.3390/physics2020013] Book R. Schlickeiser, M. Kröger Physics Methods in Coronavirus Pandemic AnalysisPhysics (2020) Open Access »» Article R. Schlickeiser, M. Kröger First consistent determination of the basic reproduction number for the first Covid-19 wave in 71 countries from the SIR-epidemics model with a constant ratio of recovery to infection rateGlobal J. Front. Res. F 20 (2020) 37-43 [DOI:10.34257/GJSFRFVOL20IS8PG37] Article R. Schlickeiser, M. Kröger Dark numbers and herd immunity of the first Covid-19 wave and future social interventionsEpidem. Int. J. 4 (2020) 000152 [DOI:10.23880/eij-16000152] Article 2.2/a Σ 9 M. Kröger, R. Schlickeiser Gaussian doubling times and reproduction factors of the COVID-19 pandemic diseaseFrontiers Phys. 8 (2020) 276 [DOI:10.3389/fphy.2020.00276] 2019 Proc T. Weber, G. Hofer, A. Simonov, M. Kröger, D. Schlüter Understanding two-dimensional polymerisation using Bragg and diffuse X-ray scatteringActa Cryst. 74 (2019) e427 © 21 May 2024 mk@mat.ethz.ch 21 out of 816 entries requested projected 2k3-H: 2 + [H-factor to-date: > 5]