Thomas M. Michelitsch

1.4k total citations
81 papers, 975 citations indexed

About

Thomas M. Michelitsch is a scholar working on Mechanics of Materials, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, Thomas M. Michelitsch has authored 81 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanics of Materials, 17 papers in Materials Chemistry and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Thomas M. Michelitsch's work include Numerical methods in engineering (20 papers), Composite Material Mechanics (18 papers) and Fractional Differential Equations Solutions (12 papers). Thomas M. Michelitsch is often cited by papers focused on Numerical methods in engineering (20 papers), Composite Material Mechanics (18 papers) and Fractional Differential Equations Solutions (12 papers). Thomas M. Michelitsch collaborates with scholars based in France, Germany and United Kingdom. Thomas M. Michelitsch's co-authors include Bernard Collet, Alejandro P. Riascos, Huajian Gao, M. Rahman, Noël Challamel, C.M. Wang, W. Kreher, Andrzej F. Nowakowski, F. Nicolleau and Zhen Zhang and has published in prestigious journals such as Acta Materialia, International Journal of Solids and Structures and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Thomas M. Michelitsch

78 papers receiving 933 citations

Peers

Thomas M. Michelitsch

SNP

Shaoqiang Tang China

P. Puri United States

C.S. Chen United States

Sören Bartels Germany

Guannan Wei Ireland

Isaak A. Kunin United States

Robert Vertnik Slovenia

Leon Y. Bahar United States

W.T. Ang Singapore

Leonid P. Lébedev Colombia

Shaoqiang Tang China

Thomas M. Michelitsch

537 ×0.9

161 ×0.4

103 ×0.8

185 ×1.4

242 ×2.0

SNP

Citations per year, relative to Thomas M. Michelitsch Thomas M. Michelitsch (= 1×) peers Shaoqiang Tang

Countries citing papers authored by Thomas M. Michelitsch

Since Specialization

Citations

This map shows the geographic impact of Thomas M. Michelitsch'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 Thomas M. Michelitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Michelitsch more than expected).

Fields of papers citing papers by Thomas M. Michelitsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Michelitsch. 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 Thomas M. Michelitsch. The network helps show where Thomas M. Michelitsch may publish in the future.

Co-authorship network of co-authors of Thomas M. Michelitsch

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Michelitsch. A scholar is included among the top collaborators of Thomas M. Michelitsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas M. Michelitsch. Thomas M. Michelitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Michelitsch, Thomas M., Giuseppe D’Onofrio, Federico Polito, & Alejandro P. Riascos. (2025). Random walks with stochastic resetting in complex networks: A discrete-time approach. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(1). 6 indexed citations

Bestehorn, Michael & Thomas M. Michelitsch. (2025). Periodic solutions and chaotic attractors of a modified epidemiological SEIS model. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(2). 2 indexed citations

Michelitsch, Thomas M., et al.. (2024). Stochastic Compartment Model with Mortality and Its Application to Epidemic Spreading in Complex Networks. Entropy. 26(5). 362–362. 4 indexed citations

Michelitsch, Thomas M., Federico Polito, & Alejandro P. Riascos. (2023). Semi-Markovian Discrete-Time Telegraph Process with Generalized Sibuya Waiting Times. Mathematics. 11(2). 471–471. 3 indexed citations

Omar, Ahmad, et al.. (2023). Intelligent Anti-Seismic Foundation: The Role of Fractal Geometry. Buildings. 13(8). 1891–1891. 2 indexed citations

Michelitsch, Thomas M., et al.. (2023). Four-compartment epidemic model with retarded transition rates. Physical review. E. 107(4). 44207–44207. 6 indexed citations

Bestehorn, Michael & Thomas M. Michelitsch. (2023). Oscillating behavior of a compartmental model with retarded noisy dynamic infection rate. arXiv (Cornell University). 1 indexed citations

Michelitsch, Thomas M., Federico Polito, & Alejandro P. Riascos. (2021). Asymmetric random walks with bias generated by discrete-time counting processes. Communications in Nonlinear Science and Numerical Simulation. 109. 106121–106121.

Michelitsch, Thomas M., Federico Polito, & Alejandro P. Riascos. (2021). Asymmetric random walks with bias generated by discrete-time counting processes. arXiv (Cornell University). 5 indexed citations

10.

Bestehorn, Michael, Alejandro P. Riascos, Thomas M. Michelitsch, & Bernard Collet. (2021). A Markovian random walk model of epidemic spreading. Continuum Mechanics and Thermodynamics. 33(4). 1207–1221. 21 indexed citations

11.

Michelitsch, Thomas M., Federico Polito, & Alejandro P. Riascos. (2020). Biased Continuous-Time Random Walks with Mittag-Leffler Jumps. Fractal and Fractional. 4(4). 51–51. 10 indexed citations

12.

Riascos, Alejandro P., et al.. (2020). Nonlocal biased random walks and fractional transport on directed networks. Physical review. E. 102(2). 22142–22142. 13 indexed citations

13.

Bestehorn, Michael, Peder A. Tyvand, & Thomas M. Michelitsch. (2019). Dimension-Reduced Model for Deep-Water Waves. Journal of Applied Mathematics and Physics. 7(1). 72–92. 2 indexed citations

14.

Riascos, Alejandro P., et al.. (2019). Aging in transport processes on networks with stochastic cumulative damage. Physical review. E. 100(2). 22312–22312. 10 indexed citations

15.

Wang, Xingjun, et al.. (2016). Acoustic emission during the solvent mediated cooling crystallization of citric acid. Powder Technology. 301. 70–77. 8 indexed citations

16.

Michelitsch, Thomas M., et al.. (2014). Nonlocal constitutive laws generated by matrix functions: Lattice dynamics models and their continuum limits. International Journal of Engineering Science. 80. 106–123. 18 indexed citations

17.

Michelitsch, Thomas M., Gérard A. Maugin, F. Nicolleau, Andrzej F. Nowakowski, & Shahram Derogar. (2009). Dispersion Relations and Wave Operators in Self-Similar Quasi-Continuous Linear Chains. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 80(1). 18 indexed citations

18.

Michelitsch, Thomas M. & Huajian Gao. (2003). Dynamic Eshelby inclusion problem in a quasiplane transversely isotropic piezoelectric medium. Max Planck Institute for Plasma Physics. 19. 113–118. 1 indexed citations

19.

Michelitsch, Thomas M.. (2003). On the Dynamic Potentials of Ellipsoidal Shells. The Quarterly Journal of Mechanics and Applied Mathematics. 56(4). 629–648. 8 indexed citations

20.

Michelitsch, Thomas M. & A. Wunderlin. (1996). Stress functions and internal stresses in linear three-dimensional anisotropic elasticity. Zeitschrift für Physik B Condensed Matter. 100(1). 53–56. 4 indexed citations

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.

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