Alexander Lorz
Impact in
- Modeling and Simulation top 0.1%
- Mathematical Biology Tumor Growth
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
-
- Mathematical Biology Tumor Growth 15
-
- Gene Regulatory Network Analysis 6
- Co-authors
- Peter A. Markowich (3 shared papers)Jian‐Guo Liu (1 shared paper)Renjun Duan (1 shared paper)Marco Di Francesco (1 shared paper)Tommaso Lorenzi (7 shared papers)Jean Clairambault (3 shared papers)Alexandre E. Escargueil (2 shared papers)Benoı̂t Perthame (3 shared papers)
- Journals
- Kinetic and Related Models (2 papers)Communications in Mathematical Sciences (2 papers)Nature Communications (1 paper)Bulletin of Mathematical Biology (1 paper)Discrete and Continuous Dynamical Systems (1 paper)
- Partner nations
- FranceUnited KingdomSaudi Arabia
In The Last Decade
Alexander Lorz
27 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 1.4k
- Cell Biology 611
- Applied Mathematics 172
- Computational Theory and Mathematics 230
- Mathematical Physics 118
Countries citing papers authored by Alexander Lorz
This map shows the geographic impact of Alexander Lorz'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 Alexander Lorz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Lorz more than expected).
Fields of papers citing papers by Alexander Lorz
This network shows the impact of papers produced by Alexander Lorz. 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 Alexander Lorz. The network helps show where Alexander Lorz may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Lorz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 316 | |
| 2 | 2010 | 230 | |
| 3 | 2011 | 221 | |
| 4 | 2010 | 185 | |
| 5 | 2012 | 103 | |
| 6 | 2012 | 94 | |
| 7 | 2015 | 93 | |
| 8 | 2014 | 82 | |
| 9 | 2019 | 53 | |
| 10 | 2017 | 48 | |
| 11 | 2009 | 31 | |
| 12 | 2015 | 22 | |
| 13 | 2016 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2016 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2016 | 12 | |
| 19 | Developing Modular and Adaptable Courseware Using TeachML | 2001 | 8 |
| 20 | Hybrid Recommendation of Composition Knowledge for End User Development of Mashups | 2012 | 8 |
About Alexander Lorz
Alexander Lorz is a scholar working on Modeling and Simulation, Molecular Biology, Cell Biology, Computational Mechanics and Condensed Matter Physics, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (15 papers), Gene Regulatory Network Analysis (6 papers), Cancer Genomics and Diagnostics (3 papers), Microtubule and mitosis dynamics (3 papers), Lattice Boltzmann Simulation Studies (3 papers), Micro and Nano Robotics (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Cell Biology (611 citations), Applied Mathematics (172 citations), Computational Theory and Mathematics (230 citations) and Mathematical Physics (118 citations). Alexander Lorz has collaborated with scholars based in France, United Kingdom and Saudi Arabia. Frequent co-authors include Peter A. Markowich, Jian‐Guo Liu, Renjun Duan, Marco Di Francesco, Tommaso Lorenzi, Jean Clairambault, Alexandre E. Escargueil, Benoı̂t Perthame, Rebecca H. Chisholm and Klemens Fellner. Their work appears in journals such as Kinetic and Related Models, Communications in Mathematical Sciences, Nature Communications, Bulletin of Mathematical Biology and Discrete and Continuous Dynamical Systems.
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.