Max Tschaikowski

1.1k total citations
35 papers, 300 citations indexed

About

Max Tschaikowski is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Max Tschaikowski has authored 35 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 9 papers in Artificial Intelligence. Recurrent topics in Max Tschaikowski's work include Gene Regulatory Network Analysis (18 papers), Formal Methods in Verification (9 papers) and Model Reduction and Neural Networks (5 papers). Max Tschaikowski is often cited by papers focused on Gene Regulatory Network Analysis (18 papers), Formal Methods in Verification (9 papers) and Model Reduction and Neural Networks (5 papers). Max Tschaikowski collaborates with scholars based in Italy, United Kingdom and Denmark. Max Tschaikowski's co-authors include Mirco Tribastone, Luca Cardelli, Andrea Vandin, Mathias Lechner, Alexander Amini, Gerald Teschl, Aaron Ray, Daniela Rus, Ramin Hasani and Attila Csikász‐Nagy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

Max Tschaikowski

32 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max Tschaikowski Italy 10 120 72 68 47 35 35 300
Zhenbin Liu China 11 275 2.3× 114 1.6× 57 0.8× 25 0.5× 98 2.8× 24 470
Yongyi Yan China 10 119 1.0× 191 2.7× 104 1.5× 7 0.1× 90 2.6× 51 407
Xiangru Xu China 8 189 1.6× 198 2.8× 51 0.8× 9 0.2× 83 2.4× 14 406
Kurt Reinschke Germany 10 63 0.5× 105 1.5× 50 0.7× 95 2.0× 126 3.6× 29 453
Klaus Sutner United States 12 177 1.5× 450 6.3× 125 1.8× 19 0.4× 109 3.1× 39 565
Tingting Zhao China 12 37 0.3× 54 0.8× 116 1.7× 44 0.9× 10 0.3× 31 439
R. Ghosh United States 4 79 0.7× 71 1.0× 14 0.2× 5 0.1× 28 0.8× 6 282
Xin Ge China 9 22 0.2× 21 0.3× 36 0.5× 131 2.8× 63 1.8× 31 303
Guodong Zhao China 16 340 2.8× 148 2.1× 50 0.7× 48 1.0× 161 4.6× 36 724

Countries citing papers authored by Max Tschaikowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Tschaikowski

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

All Works

20 of 20 papers shown
1.
Tribastone, Mirco, et al.. (2024). Coarse-Graining Complex Networks for Control Equivalence. IEEE Transactions on Automatic Control. 70(2). 1169–1175.
2.
Tribastone, Mirco, et al.. (2024). Efficient Network Embedding by Approximate Equitable Partitions. VBN Forskningsportal (Aalborg Universitet). 440–449.
3.
Cardelli, Luca, Radu Grosu, Kim G. Larsen, et al.. (2023). Algorithmic Minimization of Uncertain Continuous-Time Markov Chains. IEEE Transactions on Automatic Control. 68(11). 6557–6572.
4.
Cardelli, Luca, et al.. (2023). Formal lumping of polynomial differential equations through approximate equivalences. Journal of Logical and Algebraic Methods in Programming. 134. 100876–100876. 3 indexed citations
5.
Lafuente, Alberto Lluch, et al.. (2023). Reducing Boolean networks with backward equivalence. BMC Bioinformatics. 24(S1). 212–212. 4 indexed citations
6.
Cardelli, Luca, et al.. (2022). PID control of biochemical reaction networks. IRIS Research product catalog (Sapienza University of Rome). 26 indexed citations
7.
Hasani, Ramin, Mathias Lechner, Alexander Amini, et al.. (2022). Closed-form continuous-time neural networks. Nature Machine Intelligence. 4(11). 992–1003. 69 indexed citations
8.
Cardelli, Luca, et al.. (2021). Exact maximal reduction of stochastic reaction networks by species lumping. IRIS Research product catalog (Sapienza University of Rome). 7 indexed citations
9.
Larsen, Kim G., et al.. (2021). Efficient Local Computation of Differential Bisimulations via Coupling and Up-to Methods. IRIS Research product catalog (Sapienza University of Rome). 2 indexed citations
10.
Cardelli, Luca, Mirco Tribastone, & Max Tschaikowski. (2020). From electric circuits to chemical networks. IRIS Research product catalog (Sapienza University of Rome). 12 indexed citations
11.
Cardelli, Luca, Mirco Tribastone, Max Tschaikowski, & Andrea Vandin. (2019). Symbolic computation of differential equivalences. Theoretical Computer Science. 777. 132–154. 10 indexed citations
12.
Tribastone, Mirco, et al.. (2018). Backward Invariance for Linear Differential Algebraic Equations. IRIS Research product catalog (Sapienza University of Rome). 3771–3776. 4 indexed citations
13.
Tribastone, Mirco, et al.. (2017). EGAC. Proceedings of the Genetic and Evolutionary Computation Conference. 833–840. 7 indexed citations
14.
Cardelli, Luca, Mirco Tribastone, Max Tschaikowski, & Andrea Vandin. (2017). Comparing chemical reaction networks: A categorical and algorithmic perspective. Theoretical Computer Science. 765. 47–66. 3 indexed citations
15.
Cardelli, Luca, Mirco Tribastone, Max Tschaikowski, & Andrea Vandin. (2016). Symbolic computation of differential equivalences. IRIS Research product catalog (Sapienza University of Rome). 137–150. 15 indexed citations
16.
Cardelli, Luca, Attila Csikász‐Nagy, Neil Dalchau, Mirco Tribastone, & Max Tschaikowski. (2016). Noise Reduction in Complex Biological Switches. Scientific Reports. 6(1). 20214–20214. 20 indexed citations
17.
Tschaikowski, Max & Mirco Tribastone. (2014). A unified framework for differential aggregations in Markovian process algebra. Journal of Logical and Algebraic Methods in Programming. 84(2). 238–258. 4 indexed citations
18.
Tschaikowski, Max & Mirco Tribastone. (2013). Tackling continuous state-space explosion in a Markovian process algebra. Theoretical Computer Science. 517. 1–33. 15 indexed citations
19.
Tschaikowski, Max & Mirco Tribastone. (2013). Exact fluid lumpability in Markovian process algebra. Theoretical Computer Science. 538. 140–166. 7 indexed citations
20.
Tschaikowski, Max & Mirco Tribastone. (2012). Generalised Communication for Interacting Agents. IRIS Research product catalog (Sapienza University of Rome). 6806. 178–188. 1 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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