Philipp Rehner

471 total citations
25 papers, 349 citations indexed

About

Philipp Rehner is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Organic Chemistry. According to data from OpenAlex, Philipp Rehner has authored 25 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 10 papers in Fluid Flow and Transfer Processes and 8 papers in Organic Chemistry. Recurrent topics in Philipp Rehner's work include Phase Equilibria and Thermodynamics (23 papers), Thermodynamic properties of mixtures (10 papers) and Chemical Thermodynamics and Molecular Structure (7 papers). Philipp Rehner is often cited by papers focused on Phase Equilibria and Thermodynamics (23 papers), Thermodynamic properties of mixtures (10 papers) and Chemical Thermodynamics and Molecular Structure (7 papers). Philipp Rehner collaborates with scholars based in Germany, Switzerland and Netherlands. Philipp Rehner's co-authors include Joachim Groß, André Bardow, Ailo Aasen, Øivind Wilhelmsen, Johannes Schilling, Elmar Sauer, Jan Seiler, Thijs van Westen, Elias Moubarak and Alexander Schlaich and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Philipp Rehner

21 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Rehner Germany 11 241 80 78 64 54 25 349
Elmar Sauer Germany 7 292 1.2× 93 1.2× 65 0.8× 81 1.3× 66 1.2× 8 402
Víctor M. Trejos Mexico 13 260 1.1× 124 1.6× 55 0.7× 99 1.5× 57 1.1× 37 334
Thorsten Merker Germany 10 235 1.0× 80 1.0× 126 1.6× 111 1.7× 27 0.5× 11 394
Steffen Reiser Germany 10 201 0.8× 120 1.5× 58 0.7× 73 1.1× 39 0.7× 11 365
Stephan Deublein Germany 7 213 0.9× 149 1.9× 79 1.0× 80 1.3× 38 0.7× 8 396
Thorsten Schnabel Germany 7 263 1.1× 141 1.8× 96 1.2× 56 0.9× 17 0.3× 9 368
Aurélie Wender France 12 278 1.2× 69 0.9× 40 0.5× 102 1.6× 15 0.3× 15 427
Jan Pavlı́ček Czechia 12 339 1.4× 232 2.9× 154 2.0× 164 2.6× 55 1.0× 40 468
Jhumpa Adhikari India 9 136 0.6× 34 0.4× 36 0.5× 128 2.0× 22 0.4× 35 344
Wael A. Fouad United States 18 517 2.1× 265 3.3× 181 2.3× 82 1.3× 48 0.9× 34 684

Countries citing papers authored by Philipp Rehner

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Rehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp Rehner. 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 Philipp Rehner. The network helps show where Philipp Rehner may publish in the future.

Co-authorship network of co-authors of Philipp Rehner

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Rehner. A scholar is included among the top collaborators of Philipp Rehner 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 Philipp Rehner. Philipp Rehner 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.
Rehner, Philipp, et al.. (2026). Efficient Prediction of Multicomponent Adsorption Isotherms and Enthalpies of Adsorption in MOFs Using Classical Density Functional Theory. The Journal of Physical Chemistry B. 130(7). 2299–2313.
2.
Rehner, Philipp, Johannes Schilling, & André Bardow. (2025). Computer-aided mixture design using molecule superstructures. Computers & Chemical Engineering. 201. 109232–109232.
3.
Winter, Benedikt, et al.. (2025). Understanding the language of molecules: predicting pure component parameters for the PC-SAFT equation of state from SMILES. Digital Discovery. 4(5). 1142–1157. 6 indexed citations
4.
Schilling, Johannes, et al.. (2025). Process-based screening of porous materials for vacuum swing adsorption based on 1D classical density functional theory and PC-SAFT. Molecular Systems Design & Engineering. 10(3). 219–227. 1 indexed citations
5.
Rehner, Philipp, et al.. (2024). Permittivity Modeling in Electrolyte PC-SAFT. Journal of Chemical & Engineering Data. 69(9). 3044–3054. 1 indexed citations
7.
Schlaich, Alexander, et al.. (2024). Viscosities of inhomogeneous systems from generalized entropy scaling. Physics of Fluids. 36(4). 6 indexed citations
8.
Rehner, Philipp, et al.. (2024). Adsorption Modeling Based on Classical Density Functional Theory and PC-SAFT: Temperature Extrapolation and Fluid Transfer. Industrial & Engineering Chemistry Research. 63(32). 14137–14147. 5 indexed citations
9.
Rehner, Philipp, et al.. (2024). Modeling Dipolar Molecules with PCP-SAFT: A Vector Group-Contribution Method. ACS Omega. 9(37). 38809–38819. 1 indexed citations
10.
Westen, Thijs van, Philipp Rehner, Thijs J. H. Vlugt, & Joachim Groß. (2024). Generic low-density corrections to the equation of state of chain molecules with repulsive intermolecular forces. The Journal of Chemical Physics. 160(17).
11.
Rehner, Philipp, et al.. (2023). FeOs: An Open-Source Framework for Equations of State and Classical Density Functional Theory. Industrial & Engineering Chemistry Research. 62(12). 5347–5357. 47 indexed citations
12.
Schilling, Johannes, et al.. (2023). Predicting the Relative Static Permittivity: a Group Contribution Method Based on Perturbation Theory. Journal of Chemical & Engineering Data. 69(2). 414–426. 4 indexed citations
13.
Rehner, Philipp, et al.. (2023). PCP-SAFT Parameters of Pure Substances Using Large Experimental Databases. Industrial & Engineering Chemistry Research. 62(37). 15300–15310. 26 indexed citations
14.
Rehner, Philipp, André Bardow, & Joachim Groß. (2023). Modeling Mixtures with PCP-SAFT: Insights from Large-Scale Parametrization and Group-Contribution Method for Binary Interaction Parameters. International Journal of Thermophysics. 44(12). 15 indexed citations
15.
Rehner, Philipp, Thijs van Westen, & Joachim Groß. (2022). Equation of state and Helmholtz energy functional for fused heterosegmented hard chains. Physical review. E. 105(3). 34110–34110. 6 indexed citations
16.
Rehner, Philipp, et al.. (2021). Surfactant Modeling Using Classical Density Functional Theory and a Group Contribution PC-SAFT Approach. Industrial & Engineering Chemistry Research. 60(19). 7111–7123. 35 indexed citations
17.
Rehner, Philipp & Joachim Groß. (2020). Multiobjective Optimization of PCP-SAFT Parameters for Water and Alcohols Using Surface Tension Data. Journal of Chemical & Engineering Data. 65(12). 5698–5707. 28 indexed citations
18.
Sauer, Elmar, et al.. (2019). Guide to efficient solution of PC-SAFT classical Density Functional Theory in various Coordinate Systems using fast Fourier and similar Transforms. Fluid Phase Equilibria. 504. 112306–112306. 35 indexed citations
19.
Rehner, Philipp, Ailo Aasen, & Øivind Wilhelmsen. (2019). Tolman lengths and rigidity constants from free-energy functionals—General expressions and comparison of theories. The Journal of Chemical Physics. 151(24). 244710–244710. 25 indexed citations
20.
Rehner, Philipp & Joachim Groß. (2018). Surface tension of droplets and Tolman lengths of real substances and mixtures from density functional theory. The Journal of Chemical Physics. 148(16). 164703–164703. 33 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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