Martin Slowik

1.2k total citations
13 papers, 477 citations indexed

About

Martin Slowik is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, Martin Slowik has authored 13 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mathematical Physics, 5 papers in Statistics and Probability and 4 papers in Condensed Matter Physics. Recurrent topics in Martin Slowik's work include Stochastic processes and statistical mechanics (6 papers), Markov Chains and Monte Carlo Methods (5 papers) and Theoretical and Computational Physics (4 papers). Martin Slowik is often cited by papers focused on Stochastic processes and statistical mechanics (6 papers), Markov Chains and Monte Carlo Methods (5 papers) and Theoretical and Computational Physics (4 papers). Martin Slowik collaborates with scholars based in Germany, United States and United Kingdom. Martin Slowik's co-authors include Jordan S. Pober, A J Ritchie, Walter Fiers, Keith A. Joiner, Hynda K. Kleinman, Gláucia C. Furtado, Jean‐Dominique Deuschel, Jens Weibezahn, Christian von Hirschhausen and Peter Benner and has published in prestigious journals such as The Journal of Immunology, Antimicrobial Agents and Chemotherapy and Infection and Immunity.

In The Last Decade

Martin Slowik

13 papers receiving 458 citations

Peers

Martin Slowik
Lorah Perlee United States
C. Olivé Spain
L Possati Italy
Evan Houston United States
Martin Slowik
Citations per year, relative to Martin Slowik Martin Slowik (= 1×) peers Maria K. Pospieszalska

Countries citing papers authored by Martin Slowik

Since Specialization
Citations

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

Fields of papers citing papers by Martin Slowik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Slowik. 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 Martin Slowik. The network helps show where Martin Slowik may publish in the future.

Co-authorship network of co-authors of Martin Slowik

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Slowik. A scholar is included among the top collaborators of Martin Slowik 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 Martin Slowik. Martin Slowik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Weibezahn, Jens, et al.. (2023). Uncertainties in estimating production costs of future nuclear technologies: A model-based analysis of small modular reactors. Energy. 281. 128204–128204. 38 indexed citations
2.
Slowik, Martin, et al.. (2021). Quenched local limit theorem for random walks among time-dependent ergodic degenerate weights. Probability Theory and Related Fields. 179(3-4). 1145–1181. 6 indexed citations
3.
Blath, Jochen, et al.. (2020). A branching process model for dormancy and seed banks in randomly fluctuating environments. arXiv (Cornell University). 11 indexed citations
4.
Deuschel, Jean‐Dominique, et al.. (2018). Quenched invariance principle for random walks with time-dependent ergodic degenerate weights. The Annals of Probability. 46(1). 15 indexed citations
5.
Deuschel, Jean‐Dominique, et al.. (2017). The enhanced Sanov theorem and propagation of chaos. Stochastic Processes and their Applications. 128(7). 2228–2269. 3 indexed citations
6.
Deuschel, Jean‐Dominique, et al.. (2017). Quenched invariance principles for the random conductance model on a random graph with degenerate ergodic weights. Probability Theory and Related Fields. 170(1-2). 363–386. 10 indexed citations
7.
Deuschel, Jean‐Dominique, et al.. (2015). Harnack inequalities on weighted graphs and some applications to the random conductance model. Probability Theory and Related Fields. 164(3-4). 931–977. 22 indexed citations
8.
Slowik, Martin, Peter Benner, & Vasile Sima. (2007). Evaluation of the Linear Matrix Equation Solvers in SLICOT. MPG.PuRe (Max Planck Society). 2. 11–34. 16 indexed citations
9.
Schwab, J C, Yang Cao, Martin Slowik, & Keith A. Joiner. (1994). Localization of azithromycin in Toxoplasma gondii-infected cells. Antimicrobial Agents and Chemotherapy. 38(7). 1620–1627. 16 indexed citations
11.
Slowik, Martin, et al.. (1993). Tumor necrosis factor activates human endothelial cells through the p55 tumor necrosis factor receptor but the p75 receptor contributes to activation at low tumor necrosis factor concentration.. PubMed. 143(6). 1724–30. 101 indexed citations
12.
Furtado, Gláucia C., Martin Slowik, Hynda K. Kleinman, & Keith A. Joiner. (1992). Laminin enhances binding of Toxoplasma gondii tachyzoites to J774 murine macrophage cells. Infection and Immunity. 60(6). 2337–2342. 70 indexed citations
13.
Slowik, Martin, et al.. (1974). Effect of neuraminidase-treated and mitomycin C-treated polyoma tumour cells on the established tumour growth in CBA mice. I. An attempt at evaluation of polyoma tumour destruction using the distribution of lissamine green method.. PubMed. 12(3-4). 315–20. 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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