Philipp Schienbein

449 total citations
21 papers, 352 citations indexed

About

Philipp Schienbein is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Philipp Schienbein has authored 21 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 8 papers in Biomedical Engineering and 8 papers in Materials Chemistry. Recurrent topics in Philipp Schienbein's work include Spectroscopy and Quantum Chemical Studies (17 papers), Machine Learning in Materials Science (6 papers) and Subcritical and Supercritical Water Processes (6 papers). Philipp Schienbein is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (17 papers), Machine Learning in Materials Science (6 papers) and Subcritical and Supercritical Water Processes (6 papers). Philipp Schienbein collaborates with scholars based in Germany, United Kingdom and United States. Philipp Schienbein's co-authors include Dominik Marx, Gerhard Schwaab, Jochen Blumberger, Harald Forbert, Kevin M. Rosso, Rahul R. Nair, János Daru, Prashant Kumar Gupta, Federico Sebastiani and Jijo Abraham and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and The Journal of Physical Chemistry B.

In The Last Decade

Philipp Schienbein

19 papers receiving 345 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 Schienbein Germany 10 199 126 113 55 39 21 352
Yair Litman Germany 10 210 1.1× 131 1.0× 49 0.4× 53 1.0× 41 1.1× 20 382
Zeke A. Piskulich United States 13 197 1.0× 108 0.9× 89 0.8× 74 1.3× 73 1.9× 27 418
Fernando M. S. Silva Fernandes Portugal 12 121 0.6× 155 1.2× 94 0.8× 30 0.5× 23 0.6× 42 352
Vasileios Balos Germany 12 173 0.9× 75 0.6× 59 0.5× 99 1.8× 38 1.0× 22 359
Yoshinobu Akinaga Japan 10 201 1.0× 164 1.3× 41 0.4× 40 0.7× 40 1.0× 21 400
Vladimir V. Rybkin Switzerland 11 250 1.3× 118 0.9× 29 0.3× 43 0.8× 17 0.4× 32 418
Rosa Ramirez France 11 238 1.2× 99 0.8× 161 1.4× 23 0.4× 92 2.4× 14 419
Santanu Saha Switzerland 10 137 0.7× 392 3.1× 34 0.3× 30 0.5× 45 1.2× 14 518
D. R. Bérard Canada 10 299 1.5× 152 1.2× 164 1.5× 36 0.7× 75 1.9× 11 529
Jonathan M. Mullin United States 10 333 1.7× 149 1.2× 95 0.8× 111 2.0× 93 2.4× 12 542

Countries citing papers authored by Philipp Schienbein

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schienbein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Schienbein

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Schienbein. A scholar is included among the top collaborators of Philipp Schienbein 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 Schienbein. Philipp Schienbein 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.
Schienbein, Philipp, et al.. (2025). Random encounters dominate water-water interactions at supercritical conditions. Science Advances. 11(11). eadp8614–eadp8614. 2 indexed citations
2.
Schienbein, Philipp, et al.. (2025). Mechanism of Fe(II) Chemisorption on Hematite(001) Revealed by Reactive Neural Network Potential Molecular Dynamics. The Journal of Physical Chemistry Letters. 16(4). 848–856. 3 indexed citations
3.
Schienbein, Philipp, et al.. (2025). Computing Bulk Phase IR Spectra from Finite Cluster Data via Equivariant Neural Networks. Journal of Chemical Theory and Computation. 21(11). 5382–5388. 2 indexed citations
4.
Schienbein, Philipp, et al.. (2025). THz Pump Pulse-Driven Temporal Response of Liquid Water Probed by Machine-Learning-Accelerated Non-Equilibrium Molecular Dynamics. The Journal of Physical Chemistry Letters. 16(35). 9183–9193.
5.
Schienbein, Philipp, et al.. (2024). Machine learning the electric field response of condensed phase systems using perturbed neural network potentials. Nature Communications. 15(1). 8192–8192. 18 indexed citations
6.
Schienbein, Philipp, et al.. (2024). Solvation Properties of Neutral Gold Species in Supercritical Water Studied By THz Spectroscopy. Angewandte Chemie. 136(28). 1 indexed citations
7.
Schienbein, Philipp, et al.. (2024). Theoretical terahertz spectroscopy of free radical solutes in solution: an EPR spin probe in water. Physical Chemistry Chemical Physics. 26(44). 27879–27890.
8.
Schienbein, Philipp & Jochen Blumberger. (2024). Data‐Efficient Active Learning for Thermodynamic Integration: Acidity Constants of BiVO4 in Water. ChemPhysChem. 26(1). e202400490–e202400490. 5 indexed citations
9.
Schienbein, Philipp, et al.. (2024). Ion Effects on Terahertz Spectra of Microsolvated Clusters. The Journal of Physical Chemistry Letters. 15(50). 12387–12392. 2 indexed citations
10.
Schienbein, Philipp. (2023). Spectroscopy from Machine Learning by Accurately Representing the Atomic Polar Tensor. Journal of Chemical Theory and Computation. 19(3). 705–712. 35 indexed citations
11.
Ruiz‐Barragán, Sergi, Federico Sebastiani, Philipp Schienbein, et al.. (2022). Nanoconfinement effects on water in narrow graphene-based slit pores as revealed by THz spectroscopy. Physical Chemistry Chemical Physics. 24(40). 24734–24747. 20 indexed citations
12.
Schienbein, Philipp, et al.. (2022). Solvation of small gold clusters in supercritical water. Journal of Molecular Liquids. 362. 119715–119715. 2 indexed citations
13.
Schienbein, Philipp & Jochen Blumberger. (2022). Nanosecond solvation dynamics of the hematite/liquid water interface at hybrid DFT accuracy using committee neural network potentials. Physical Chemistry Chemical Physics. 24(25). 15365–15375. 20 indexed citations
14.
Schienbein, Philipp & Dominik Marx. (2020). Supercritical Water is not Hydrogen Bonded. Angewandte Chemie International Edition. 59(42). 18578–18585. 40 indexed citations
15.
Schienbein, Philipp & Dominik Marx. (2020). Supercritical Water is not Hydrogen Bonded. Angewandte Chemie. 132(42). 18737–18744. 2 indexed citations
16.
Schienbein, Philipp & Dominik Marx. (2019). Assessing the properties of supercritical water in terms of structural dynamics and electronic polarization effects. Physical Chemistry Chemical Physics. 22(19). 10462–10479. 38 indexed citations
17.
Gupta, Prashant Kumar, Philipp Schienbein, János Daru, & Dominik Marx. (2019). Terahertz Spectra of Microsolvated Ions: Do They Reveal Bulk Solvation Properties?. The Journal of Physical Chemistry Letters. 10(3). 393–398. 11 indexed citations
18.
19.
Schienbein, Philipp, et al.. (2017). Correlations in the Solute–Solvent Dynamics Reach Beyond the First Hydration Shell of Ions. The Journal of Physical Chemistry Letters. 8(11). 2373–2380. 83 indexed citations
20.
Schienbein, Philipp & Dominik Marx. (2017). Liquid–Vapor Phase Diagram of RPBE-D3 Water: Electronic Properties along the Coexistence Curve and in the Supercritical Phase. The Journal of Physical Chemistry B. 122(13). 3318–3329. 32 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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