Pascal M. Schäfer

1.3k total citations
34 papers, 1.1k citations indexed

About

Pascal M. Schäfer is a scholar working on Control and Systems Engineering, Biomaterials and Process Chemistry and Technology. According to data from OpenAlex, Pascal M. Schäfer has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 13 papers in Biomaterials and 12 papers in Process Chemistry and Technology. Recurrent topics in Pascal M. Schäfer's work include Process Optimization and Integration (15 papers), Advanced Control Systems Optimization (13 papers) and biodegradable polymer synthesis and properties (13 papers). Pascal M. Schäfer is often cited by papers focused on Process Optimization and Integration (15 papers), Advanced Control Systems Optimization (13 papers) and biodegradable polymer synthesis and properties (13 papers). Pascal M. Schäfer collaborates with scholars based in Germany, Netherlands and United Kingdom. Pascal M. Schäfer's co-authors include Alexander Mitsos, Adrian Caspari, Sonja Herres‐Pawlis, Adel Mhamdi, Matthew D. Jones, Paul McKeown, Antoine Buchard, Mary F. Mahon, John P. Lowe and Lynne H. Thomas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Chemical Communications.

In The Last Decade

Pascal M. Schäfer

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal M. Schäfer Germany 20 493 456 321 299 145 34 1.1k
Carla S. M. Pereira Portugal 20 158 0.3× 163 0.4× 248 0.8× 200 0.7× 64 0.4× 41 1.4k
Benedikt Winter Switzerland 11 146 0.3× 70 0.2× 74 0.2× 46 0.2× 67 0.5× 20 884
Lingyun Huang China 21 151 0.3× 41 0.1× 56 0.2× 199 0.7× 93 0.6× 82 1.4k
Liang Ren China 23 428 0.9× 36 0.1× 29 0.1× 231 0.8× 250 1.7× 105 1.6k
Philip Lutze Germany 25 39 0.1× 129 0.3× 731 2.3× 81 0.3× 83 0.6× 46 1.4k
Qixing Liu China 21 29 0.1× 66 0.1× 86 0.3× 390 1.3× 243 1.7× 87 1.2k
Deepika Malhotra United States 19 33 0.1× 142 0.3× 30 0.1× 340 1.1× 45 0.3× 47 1.2k
Syed Nasir Shah Malaysia 22 95 0.2× 24 0.1× 48 0.1× 122 0.4× 218 1.5× 64 1.2k
Philip Voll Germany 12 21 0.0× 202 0.4× 266 0.8× 26 0.1× 343 2.4× 21 1.0k

Countries citing papers authored by Pascal M. Schäfer

Since Specialization
Citations

This map shows the geographic impact of Pascal M. Schäfer'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 Pascal M. Schäfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal M. Schäfer more than expected).

Fields of papers citing papers by Pascal M. Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal M. Schäfer. 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 Pascal M. Schäfer. The network helps show where Pascal M. Schäfer may publish in the future.

Co-authorship network of co-authors of Pascal M. Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal M. Schäfer. A scholar is included among the top collaborators of Pascal M. Schäfer 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 Pascal M. Schäfer. Pascal M. Schäfer 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.
Schröder, Jan, et al.. (2025). Pareto‐Optimal Treatment of Uncertainties in Model‐Based Process Design and Operation. Chemie Ingenieur Technik. 97(11-12). 1057–1064.
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Lackmann, Carina, et al.. (2021). The Green toxicology approach: Insight towards the eco-toxicologically safe development of benign catalysts. Journal of Hazardous Materials. 416. 125889–125889. 18 indexed citations
5.
Schäfer, Pascal M., et al.. (2020). Do investments in flexibility enhance sustainability? A simulative study considering the German electricity sector. AIChE Journal. 66(11). 17 indexed citations
6.
Schäfer, Pascal M., et al.. (2020). The Potential of Hybrid Mechanistic/Data‐Driven Approaches for Reduced Dynamic Modeling: Application to Distillation Columns. Chemie Ingenieur Technik. 92(12). 1910–1920. 16 indexed citations
7.
Caspari, Adrian, et al.. (2020). Dynamic optimization with complementarity constraints: Smoothing for direct shooting. Computers & Chemical Engineering. 139. 106891–106891. 20 indexed citations
8.
Schweidtmann, Artur M., et al.. (2020). Deterministic Global Nonlinear Model Predictive Control with Neural Networks Embedded. IFAC-PapersOnLine. 53(2). 5273–5278. 10 indexed citations
9.
Schäfer, Pascal M., Artur M. Schweidtmann, & Alexander Mitsos. (2020). Nonlinear scheduling with time‐variable electricity prices using sensitivity‐based truncations of wavelet transforms. AIChE Journal. 66(10). 7 indexed citations
10.
Schäfer, Pascal M. & Sonja Herres‐Pawlis. (2020). Robust Guanidine Metal Catalysts for the Ring‐Opening Polymerization of Lactide under Industrially Relevant Conditions. ChemPlusChem. 85(5). 1044–1052. 44 indexed citations
11.
Caspari, Adrian, et al.. (2019). A flexible air separation process: 1. Design and steady‐state optimizations. AIChE Journal. 65(11). 38 indexed citations
12.
Schäfer, Pascal M., Paul McKeown, Martin Fuchs, et al.. (2019). Tuning a robust system: N,O zinc guanidine catalysts for the ROP of lactide. Dalton Transactions. 48(18). 6071–6082. 41 indexed citations
13.
Schäfer, Pascal M., Agnieszka N. Ksiazkiewicz, Andrij Pich, et al.. (2019). Towards New Robust Zn(II) Complexes for the Ring‐Opening Polymerization of Lactide Under Industrially Relevant Conditions. ChemistryOpen. 8(7). 1020–1026. 23 indexed citations
14.
Fuchs, Martin, Sebastian Schmitz, Pascal M. Schäfer, et al.. (2019). Mononuclear zinc(II) Schiff base complexes as catalysts for the ring-opening polymerization of lactide. European Polymer Journal. 122. 109302–109302. 39 indexed citations
15.
Fleitmann, Lorenz, Jan Scheffczyk, Pascal M. Schäfer, et al.. (2018). Integrated Design of Solvents in Hybrid Reaction-Separation Processes Using COSMO-RS. SHILAP Revista de lepidopterología. 5 indexed citations
16.
Scheffczyk, Jan, Pascal M. Schäfer, Lorenz Fleitmann, et al.. (2018). COSMO-CAMPD: a framework for integrated design of molecules and processes based on COSMO-RS. Molecular Systems Design & Engineering. 3(4). 645–657. 39 indexed citations
17.
Schäfer, Pascal M., Christoph Wölper, Agnieszka N. Ksiazkiewicz, et al.. (2018). Synthesis, Structures, and Catalytic Activity of Homo‐ and Heteroleptic Ketoiminate Zinc Complexes in Lactide Polymerization. European Journal of Inorganic Chemistry. 2018(36). 4014–4021. 20 indexed citations
18.
Mitsos, Alexander, Norbert Asprion, Christodoulos A. Floudas, et al.. (2018). Challenges in process optimization for new feedstocks and energy sources. Computers & Chemical Engineering. 113. 209–221. 112 indexed citations
19.
Schäfer, Pascal M., Martin Fuchs, Paul McKeown, et al.. (2017). Highly Active N,O Zinc Guanidine Catalysts for the Ring‐Opening Polymerization of Lactide. ChemSusChem. 10(18). 3547–3556. 65 indexed citations
20.
Jones, Matthew D., Paul McKeown, Pascal M. Schäfer, et al.. (2014). Zirconium complexes of bipyrrolidine derived salan ligands for the isoselective polymerisation of rac-lactide. Chemical Communications. 50(100). 15967–15970. 103 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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