Pascal Friederich

6.7k total citations · 5 hit papers
125 papers, 4.0k citations indexed

About

Pascal Friederich is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Pascal Friederich has authored 125 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 52 papers in Materials Chemistry and 26 papers in Molecular Biology. Recurrent topics in Pascal Friederich's work include Machine Learning in Materials Science (38 papers), Organic Electronics and Photovoltaics (34 papers) and Organic Light-Emitting Diodes Research (25 papers). Pascal Friederich is often cited by papers focused on Machine Learning in Materials Science (38 papers), Organic Electronics and Photovoltaics (34 papers) and Organic Light-Emitting Diodes Research (25 papers). Pascal Friederich collaborates with scholars based in Germany, Canada and United States. Pascal Friederich's co-authors include Alán Aspuru‐Guzik, Florian Häse, Wolfgang Wenzel, AkshatKumar Nigam, Mario Krenn, Jonny Proppe, Gabriel dos Passos Gomes, Franz Symalla, Patrick Reiser and Robert Pollice and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Pascal Friederich

118 papers receiving 4.0k citations

Hit Papers

5 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.

Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation

2020 429 citations Florian Häse, Pascal Friederich et al. profile →
Graph neural networks for materials science and chemistry

2022 407 citations Patrick Reiser, Marlen Neubert et al. profile →
Machine-learned potentials for next-generation matter simulations

2021 376 citations Pascal Friederich, Florian Häse et al. Nature Materials profile →
A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysis

2022 192 citations Gabriel dos Passos Gomes, Pascal Friederich et al. profile →
On scientific understanding with artificial intelligence

2022 186 citations Robert Pollice, Pascal Friederich et al. profile →

Peers

Countries citing papers authored by Pascal Friederich

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Friederich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Friederich

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Infrared spectrum analysis of organic molecules with neural networks using standard reference data sets in combination with real-world data 2025 ·Journal of Cheminformatics ·(unknown), Yu‐Chieh Huang, (unknown), Pierre Tremouilhac, Pascal Friederich, Nicole Jung, Stefan Bräse	2
2	PAL – parallel active learning for machine-learned potentials 2025 ·Digital Discovery ·Chen Zhou, Marlen Neubert, Y. Koide, Yumeng Zhang, Van‐Quan Vuong, Tobias Schlöder, Stefanie Dehnen, Pascal Friederich	2
3	Tuning the Transparency and Exciton Transition of D‐π‐A‐π‐D Type Small Molecules 2025 ·Chemistry - A European Journal ·(unknown), (unknown), Patrick Reiser, Christian Kupfer, (unknown), Anastasia Barabash, Miroslaw Batentschuk, Jens Hauch, Pascal Friederich, Christoph J. Brabec	0
4	Predicting hydrogen atom transfer energy barriers using Gaussian process regression 2025 ·Digital Discovery ·(unknown), Ghulām Qādir, (unknown), Pascal Friederich, Frauke Gräter	2
5	Development of aluminum oxide slurries for additive manufacturing by Bayesian optimization 2024 ·Open Ceramics ·(unknown), Pascal Friederich, (unknown), Frederik Zanger	0
6	Connectivity optimized nested line graph networks for crystal structures 2024 ·Digital Discovery ·(unknown), Patrick Reiser, Jan Stühmer, Pascal Friederich	22
7	Synthesis and Characterization of High‐Entropy CrMoNbTaVW Thin Films Using High‐Throughput Methods 2023 ·Advanced Engineering Materials ·Simon Schweidler, Henrik Schopmans, Patrick Reiser, Evgeniy Boltynjuk, J.J. Olaya, (unknown), (unknown), Horst Hahn, Pascal Friederich, Leonardo Velasco	2
8	Bayesian optimization approach to quantify the effect of input parameter uncertainty on predictions of numerical physics simulations 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), Pascal Friederich, Alison Walker	0
9	Modeling Charge Transport in Organic Semiconductors Using Neural Network Based Hamiltonians and Forces 2023 ·Journal of Chemical Theory and Computation ·(unknown), (unknown), Patrick Reiser, Pascal Friederich, Marcus Elstner, Weiwei Xie	5
10	Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms 2023 ·Digital Discovery ·Henrik Schopmans, Patrick Reiser, Pascal Friederich	4
11	Lattice Metamaterials with Mesoscale Motifs: Exploration of Property Charts by Bayesian Optimization 2023 ·Advanced Engineering Materials ·Roman Kulagin, Patrick Reiser, (unknown), Arnd Koeppe, Yan Beygelzimer, Yuri Estrin, Pascal Friederich, Peter Gumbsch	8
12	Interpretable delta-learning of GW quasiparticle energies from GGA-DFT 2023 ·Machine Learning Science and Technology ·Artem Fediai, Patrick Reiser, (unknown), Wolfgang Wenzel, Pascal Friederich	4
13	High‐Throughput Synthesis and Machine Learning Assisted Design of Photodegradable Hydrogels 2023 ·Small Methods ·(unknown), Patrick Reiser, Pascal Friederich, Pavel A. Levkin	19
14	Organic molecules with inverted gaps between first excited singlet and triplet states and appreciable fluorescence rates 2021 ·Matter ·Robert Pollice, Pascal Friederich, Cyrille Lavigne, Gabriel dos Passos Gomes, Alán Aspuru‐Guzik	126
15	Machine-learned potentials for next-generation matter simulations breakdown → 2021 ·Nature Materials ·Pascal Friederich, Florian Häse, Jonny Proppe, Alán Aspuru‐Guzik	376
16	Computing Charging and Polarization Energies of Small Organic Molecules Embedded into Amorphous Materials with Quantum Accuracy 2021 ·Journal of Chemical Theory and Computation ·(unknown), Timo Strunk, Franz Symalla, Pascal Friederich, (unknown), Tobias Neumann, Wolfgang Wenzel, Artem Fediai	11
17	The influence of sorbitol doping on aggregation and electronic properties of PEDOT:PSS: a theoretical study 2020 ·Machine Learning Science and Technology ·Pascal Friederich, Salvador León, José Darío Perea, Loı̈c M. Roch, Alán Aspuru‐Guzik	11
18	Design rules for high mobility xanthene-based hole transport materials 2019 ·Chemical Science ·Daniel P. Tabor, (unknown), Pascal Friederich, Yang Cao, David Dvořák, Curtis P. Berlinguette, Alán Aspuru‐Guzik	22
19	Concentration dependent energy levels shifts in donor-acceptor mixtures due to intermolecular electrostatic interaction 2019 ·Scientific Reports ·Saientan Bag, Pascal Friederich, Ivan Kondov, Wolfgang Wenzel	14
20	p-Doping of polystyrene polymers with attached functional side-groups from solution 2017 ·Journal of Materials Chemistry C ·T. Schneider, (unknown), (unknown), Ardalan Armin, Nils Jürgensen, Jens Czolk, Bernd Ebenhoch, Pascal Friederich, Wolfgang Wenzel, Jan Behrends, Hartmut Krüger, Alexander Colsmann	11

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.

Explore authors with similar magnitude of impact