Philipp Eiden

2.0k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Philipp Eiden is a scholar working on Materials Chemistry, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Philipp Eiden has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 4 papers in Civil and Structural Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Philipp Eiden's work include Corrosion Behavior and Inhibition (5 papers), Machine Learning in Materials Science (4 papers) and Concrete Corrosion and Durability (4 papers). Philipp Eiden is often cited by papers focused on Corrosion Behavior and Inhibition (5 papers), Machine Learning in Materials Science (4 papers) and Concrete Corrosion and Durability (4 papers). Philipp Eiden collaborates with scholars based in Germany, Australia and United States. Philipp Eiden's co-authors include Volker Settels, Miriam Mathea, Kevin Yang, Brian Kelley, Andrew Palmer, Connor W. Coley, Hua Gao, Wengong Jin, Regina Barzilay and Tommi Jaakkola and has published in prestigious journals such as The Journal of Physical Chemistry B, Corrosion Science and Journal of Chemical Information and Modeling.

In The Last Decade

Philipp Eiden

9 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analyzing Learned Molecular Representations for Property Prediction

2019 1.1k citations Kevin Yang, Kyle Swanson et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Eiden Germany	8	895	788	537	97	71	9	1.2k
Miriam Mathea Germany	11	1.1k 1.2×	803 1.0×	662 1.2×	129 1.3×	92 1.3×	20	1.5k
Amol Thakkar Switzerland	8	646 0.7×	554 0.7×	420 0.8×	79 0.8×	51 0.7×	15	923
Jike Wang China	18	753 0.8×	458 0.6×	660 1.2×	68 0.7×	41 0.6×	52	1.1k
Timur Madzhidov Russia	18	818 0.9×	662 0.8×	524 1.0×	75 0.8×	96 1.4×	60	1.2k
Feisheng Zhong China	13	1.1k 1.3×	671 0.9×	952 1.8×	123 1.3×	49 0.7×	18	1.7k
Wen Torng United States	7	715 0.8×	337 0.4×	632 1.2×	65 0.7×	37 0.5×	7	1.0k
Volker Settels Germany	15	894 1.0×	1000 1.3×	565 1.1×	96 1.0×	130 1.8×	22	1.8k
Hirotomo Moriwaki Japan	5	607 0.7×	378 0.5×	402 0.7×	32 0.3×	124 1.7×	8	1.1k
Tomasz Klucznik South Korea	10	574 0.6×	624 0.8×	454 0.8×	76 0.8×	36 0.5×	15	1.1k
Valery Tkachenko United States	14	450 0.5×	201 0.3×	470 0.9×	83 0.9×	124 1.7×	18	1.0k

Countries citing papers authored by Philipp Eiden

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Eiden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Eiden

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

All Works

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9 of 9 papers shown

1.

Sieg, Jochen, Christian Feldmann, Jennifer Hemmerich, et al.. (2024). MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learn. Journal of Chemical Information and Modeling. 64(24). 9027–9033. 10 indexed citations

2.

Jeschke, Steffen, Philipp Eiden, Qiushi Deng, Ivan Cole, & Patrick Keil. (2024). Structure and Dynamics of Aqueous 2-Aminothiazole/NaCl Electrolytes at Electrified Interfaces. The Journal of Physical Chemistry B. 128(25). 6189–6196. 2 indexed citations

3.

Deng, Qiushi, Pablo Ordejón, Philipp Eiden, et al.. (2023). Inhibitory behaviour and adsorption stability of benzothiazole derivatives as corrosion inhibitors towards galvanised steel. Molecular Systems Design & Engineering. 9(1). 29–45. 10 indexed citations

4.

Deng, Qiushi, Steffen Jeschke, Paul White, et al.. (2023). Synergistically and sustainably performed inhibitors for galvanised steel against aqueous corrosion. Corrosion Science. 213. 110984–110984. 9 indexed citations

5.

Pattanaik, Lagnajit, Angiras Menon, Volker Settels, et al.. (2023). ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of Solvents. The Journal of Physical Chemistry B. 127(47). 10151–10170. 9 indexed citations

6.

Deng, Qiushi, Steffen Jeschke, Ratan K. Mishra, et al.. (2023). Design of alkyl-substituted aminothiazoles to optimise corrosion inhibition for galvanised steel: A combined experimental and molecular modelling approach. Corrosion Science. 227. 111733–111733. 10 indexed citations

7.

Deng, Qiushi, Steffen Jeschke, Billy J. Murdoch, et al.. (2022). In-depth insights of inhibitory behaviour of 2-amino-4-methylthiazole towards galvanised steel in neutral NaCl solution. Corrosion Science. 199. 110206–110206. 30 indexed citations

8.

Yang, Kevin, Kyle Swanson, Wengong Jin, et al.. (2019). Correction to Analyzing Learned Molecular Representations for Property Prediction. Journal of Chemical Information and Modeling. 59(12). 5304–5305. 25 indexed citations

9.

Yang, Kevin, Kyle Swanson, Wengong Jin, et al.. (2019). Analyzing Learned Molecular Representations for Property Prediction. Journal of Chemical Information and Modeling. 59(8). 3370–3388. 1081 indexed citations breakdown →

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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