Max Tschaikowski
Impact in
- Software top 10%
- Model-Driven Software Engineering Techniques
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- Formal Methods in Verification
Papers in
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- Gene Regulatory Network Analysis 18
- Microbial Metabolic Engineering and Bioproduction 4
- Bioinformatics and Genomic Networks 4
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- Formal Methods in Verification 9
- Petri Nets in System Modeling 4
- Co-authors
- Mirco Tribastone (31 shared papers)Luca Cardelli (13 shared papers)Andrea Vandin (18 shared papers)Gerald Teschl (2 shared papers)Ramin Hasani (2 shared papers)Alexander Amini (2 shared papers)Aaron Ray (2 shared papers)Mathias Lechner (2 shared papers)
- Journals
- Theoretical Computer Science (4 papers)IEEE Transactions on Automatic Control (4 papers)Journal of Logical and Algebraic Methods in Programming (2 papers)Nature Machine Intelligence (2 papers)ACM SIGPLAN Notices (1 paper)
- Partner nations
- ItalyUnited KingdomDenmark
In The Last Decade
Max Tschaikowski
32 papers receiving 295 citations
Peers
Comparison fields: 5 of 74
- Software 32
- Computational Theory and Mathematics 72
- Statistical and Nonlinear Physics 47
- Numerical Analysis 13
- Artificial Intelligence 68
Countries citing papers authored by Max Tschaikowski
This map shows the geographic impact of Max Tschaikowski'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 Max Tschaikowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Tschaikowski more than expected).
Fields of papers citing papers by Max Tschaikowski
This network shows the impact of papers produced by Max Tschaikowski. 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 Max Tschaikowski. The network helps show where Max Tschaikowski may publish in the future.
Co-authors
The 23 scholars most cited alongside Max Tschaikowski, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2022 | 26 | |
| 3 | 2017 | 24 | |
| 4 | 2016 | 20 | |
| 5 | 2016 | 15 | |
| 6 | 2013 | 15 | |
| 7 | 2015 | 15 | |
| 8 | 2015 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2018 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2023 | 3 |
About Max Tschaikowski
Max Tschaikowski is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 35 papers that have together received 300 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (18 papers), Formal Methods in Verification (9 papers), Model Reduction and Neural Networks (5 papers), Petri Nets in System Modeling (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Bioinformatics and Genomic Networks (4 papers), Simulation Techniques and Applications (4 papers) and Model-Driven Software Engineering Techniques (4 papers). The work is most often cited by research in Software (32 citations), Computational Theory and Mathematics (72 citations), Statistical and Nonlinear Physics (47 citations), Numerical Analysis (13 citations) and Artificial Intelligence (68 citations). Max Tschaikowski has collaborated with scholars based in Italy, United Kingdom and Denmark. Frequent co-authors include Mirco Tribastone, Luca Cardelli, Andrea Vandin, Gerald Teschl, Ramin Hasani, Alexander Amini, Aaron Ray, Mathias Lechner, Daniela Rus and Ina Schaefer. Their work appears in journals such as Theoretical Computer Science, IEEE Transactions on Automatic Control, Journal of Logical and Algebraic Methods in Programming, Nature Machine Intelligence and ACM SIGPLAN Notices.
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.