Mirosław Lachowicz
- Modeling and Simulation top 0.5%
- Statistical and Nonlinear Physics top 2%
- Applied Mathematics top 2%
- Molecular Biology
- Mathematical Physics top 5%
- Co-authors
- Jacek BanasiakNicola BellomoZuzanna SzymańskaDariusz WrzosekMark A. J. ChaplainLuisa ArlottiCristian Morales-RodrigoHelmut Neunzert
- Topics
- Mathematical Biology Tumor Growth (36 papers)Gas Dynamics and Kinetic Theory (21 papers)Advanced Thermodynamics and Statistical Mechanics (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Theoretical BiologyJournal of Mathematical Analysis and Applications
- Partner nations
- PolandItalySouth Africa
In The Last Decade
Mirosław Lachowicz
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Modeling and Simulation 608
- Statistical and Nonlinear Physics 326
- Applied Mathematics 316
- Molecular Biology 274
- Mathematical Physics 191
Countries citing papers authored by Mirosław Lachowicz
This map shows the geographic impact of Mirosław Lachowicz'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 Mirosław Lachowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirosław Lachowicz more than expected).
Fields of papers citing papers by Mirosław Lachowicz
This network shows the impact of papers produced by Mirosław Lachowicz. 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 Mirosław Lachowicz. The network helps show where Mirosław Lachowicz may publish in the future.
Co-authorship network of co-authors of Mirosław Lachowicz
This figure shows the co-authorship network connecting the top 25 collaborators of Mirosław Lachowicz. A scholar is included among the top collaborators of Mirosław Lachowicz 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 Mirosław Lachowicz. Mirosław Lachowicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 41 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | From microscopic to macroscopic descriptions of complex systems | 2 |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | Hydrodynamic limits of some kinetic equations | 1 |
| 18 | 12 | |
| 19 | 10 | |
| 20 | The Enskog equation | 4 |
About Mirosław Lachowicz
Mirosław Lachowicz is a scholar working on Modeling and Simulation, Applied Mathematics and Statistical and Nonlinear Physics, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (36 papers), Gas Dynamics and Kinetic Theory (21 papers) and Advanced Thermodynamics and Statistical Mechanics (18 papers). The work is most often cited by research in Modeling and Simulation (608 citations), Applied Mathematics (316 citations) and Statistical and Nonlinear Physics (326 citations). Mirosław Lachowicz has collaborated with scholars based in Poland, Italy and South Africa. Frequent co-authors include Jacek Banasiak, Nicola Bellomo, Zuzanna Szymańska, Dariusz Wrzosek, Mark A. J. Chaplain, Luisa Arlotti, Cristian Morales-Rodrigo, Helmut Neunzert, Giuseppe Toscani and Mario Pulvirenti. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Journal of Mathematical Analysis and Applications.
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.