Alexander Lorz
- Modeling and Simulation top 0.1%
- Cell Biology top 2%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Oncology
- Co-authors
- Peter A. MarkowichJian‐Guo LiuRenjun DuanMarco Di FrancescoTommaso LorenziJean ClairambaultAlexandre E. EscargueilBenoı̂t Perthame
- Topics
- Mathematical Biology Tumor Growth (15 papers)Gene Regulatory Network Analysis (6 papers)Lattice Boltzmann Simulation Studies (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaThe Journal of Immunology
- 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 1.3k
- Cell Biology 612
- Molecular Biology 601
- Computational Theory and Mathematics 227
- Oncology 178
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-authorship network of co-authors of Alexander Lorz
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Lorz. A scholar is included among the top collaborators of Alexander Lorz 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 Alexander Lorz. Alexander Lorz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 21 | |
| 3 | 2 | |
| 4 | 48 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 22 | |
| 9 | 14 | |
| 10 | 12 | |
| 11 | 93 | |
| 12 | 20 | |
| 13 | 81 | |
| 14 | Hybrid Recommendation of Composition Knowledge for End User Development of Mashups | 8 |
| 15 | 93 | |
| 16 | 102 | |
| 17 | 216 | |
| 18 | 310 | |
| 19 | Web-basierte Groupware-Anwendungen für die Kooperation in verteilten Projektteams und virtuellen Unternehmen | 1 |
| 20 | Developing Modular and Adaptable Courseware Using TeachML | 8 |
About Alexander Lorz
Alexander Lorz is a scholar working on Modeling and Simulation, Human Factors and Ergonomics and Cell Biology, 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) and Lattice Boltzmann Simulation Studies (3 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Cell Biology (612 citations) and Applied Mathematics (163 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 Alina Chertock. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.