Lars L. Schaaf

444 total citations
3 papers, 59 citations indexed

About

Lars L. Schaaf is a scholar working on Materials Chemistry, Molecular Biology and Catalysis. According to data from OpenAlex, Lars L. Schaaf has authored 3 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Materials Chemistry, 1 paper in Molecular Biology and 1 paper in Catalysis. Recurrent topics in Lars L. Schaaf's work include Machine Learning in Materials Science (2 papers), Fuel Cells and Related Materials (1 paper) and Carbon Dioxide Capture Technologies (1 paper). Lars L. Schaaf is often cited by papers focused on Machine Learning in Materials Science (2 papers), Fuel Cells and Related Materials (1 paper) and Carbon Dioxide Capture Technologies (1 paper). Lars L. Schaaf collaborates with scholars based in United Kingdom, South Sudan and Indonesia. Lars L. Schaaf's co-authors include Gábor Cśanyi, Edvin Fako, Ansgar Schäfer, Sandip De, Casey R. Wade, Shivani Sharma, Alexander C. Forse, Phillip J. Milner, Guangrun Wang and Philip H. S. Torr and has published in prestigious journals such as The Journal of Chemical Physics, ChemPhysChem and npj Computational Materials.

In The Last Decade

Lars L. Schaaf

2 papers receiving 56 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lars L. Schaaf United Kingdom	2	45	13	12	11	10	3	59
Lusann Yang United States	4	50 1.1×	9 0.7×	16 1.3×	9 0.8×	5 0.5×	5	75
Mehmet Cagri Kaymak United States	3	34 0.8×	4 0.3×	11 0.9×	5 0.5×	2 0.2×	5	63
H. Küçük Türkiye	4	42 0.9×	14 1.1×	9 0.8×		12 1.2×	10	50
V. S. Doroshkevich Ukraine	5	24 0.5×	6 0.5×	19 1.6×	4 0.4×		10	77
William J. Baldwin United Kingdom	4	78 1.7×	3 0.2×	50 4.2×	12 1.1×	2 0.2×	8	93
J. Han China	2	19 0.4×	5 0.4×	10 0.8×		9 0.9×	2	27
Qinqin Ji China	3	25 0.6×	18 1.4×	8 0.7×		14 1.4×	4	39
Y. Pan China	6	32 0.7×	49 3.8×	47 3.9×		8 0.8×	14	86
K. Li China	4	24 0.5×	32 2.5×	8 0.7×		5 0.5×	13	42

Countries citing papers authored by Lars L. Schaaf

Since Specialization

Citations

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

Fields of papers citing papers by Lars L. Schaaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars L. Schaaf. 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 Lars L. Schaaf. The network helps show where Lars L. Schaaf may publish in the future.

Co-authorship network of co-authors of Lars L. Schaaf

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

All Works

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3 of 3 papers shown

1.

Schaaf, Lars L., et al.. (2025). Implicit neural representations for chemical reaction paths. The Journal of Chemical Physics. 163(3).

2.

Schaaf, Lars L., Shivani Sharma, Casey R. Wade, et al.. (2024). ¹⁷ O NMR Spectroscopy Reveals CO ₂ Speciation and Dynamics in Hydroxide‐Based Carbon Capture Materials. ChemPhysChem. 26(5). e202400941–e202400941. 8 indexed citations

3.

Schaaf, Lars L., Edvin Fako, Sandip De, Ansgar Schäfer, & Gábor Cśanyi. (2023). Accurate energy barriers for catalytic reaction pathways: an automatic training protocol for machine learning force fields. npj Computational Materials. 9(1). 51 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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