Eric Lindgren

650 total citations · 1 hit paper
8 papers, 299 citations indexed

About

Eric Lindgren is a scholar working on Materials Chemistry, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Eric Lindgren has authored 8 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Materials Chemistry, 2 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Eric Lindgren's work include Machine Learning in Materials Science (3 papers), Neural dynamics and brain function (2 papers) and Perovskite Materials and Applications (1 paper). Eric Lindgren is often cited by papers focused on Machine Learning in Materials Science (3 papers), Neural dynamics and brain function (2 papers) and Perovskite Materials and Applications (1 paper). Eric Lindgren collaborates with scholars based in Sweden, United States and United Kingdom. Eric Lindgren's co-authors include Paul Erhart, Zheyong Fan, J. Magnus Rahm, Junjie Wang, Jianyang Wu, Yue Chen, Zheng Zhong, Tapio Ala-Nissilä, Haikuan Dong and Alexander J. Gabourie and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Materials Chemistry A.

In The Last Decade

Eric Lindgren

7 papers receiving 295 citations

Hit Papers

GPUMD: A package for constructing accurate machine-learne... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Lindgren Sweden 4 241 61 59 25 18 8 299
Jiahui Liu China 3 239 1.0× 62 1.0× 38 0.6× 32 1.3× 16 0.9× 9 278
Nakib H. Protik United States 8 256 1.1× 50 0.8× 64 1.1× 5 0.2× 17 0.9× 14 286
Samad Hajinazar United States 9 300 1.2× 68 1.1× 56 0.9× 18 0.7× 33 1.8× 14 356
Samare Rostami Iran 7 258 1.1× 90 1.5× 47 0.8× 10 0.4× 19 1.1× 14 315
Chiheb Ben Mahmoud Switzerland 6 345 1.4× 86 1.4× 62 1.1× 33 1.3× 33 1.8× 8 411
М. М. Слепченков Russia 10 220 0.9× 73 1.2× 58 1.0× 16 0.6× 81 4.5× 77 305
Berk Onat Türkiye 7 258 1.1× 64 1.0× 51 0.9× 47 1.9× 24 1.3× 8 314
Rachid Malek France 7 201 0.8× 86 1.4× 110 1.9× 51 2.0× 18 1.0× 25 339
Matteo Rinaldi Italy 8 211 0.9× 82 1.3× 91 1.5× 17 0.7× 88 4.9× 12 329

Countries citing papers authored by Eric Lindgren

Since Specialization
Citations

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

Fields of papers citing papers by Eric Lindgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Lindgren

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

All Works

8 of 8 papers shown
1.
Fransson, Erik, Fredrik Eriksson, Eric Lindgren, et al.. (2025). Dynasor 2: From simulation to experiment through correlation functions. Computer Physics Communications. 316. 109759–109759. 1 indexed citations
2.
3.
Lindgren, Eric, et al.. (2025). Predicting neutron experiments from first principles: a workflow powered by machine learning. Journal of Materials Chemistry A. 13(31). 25509–25520. 1 indexed citations
4.
Schäfer, C., et al.. (2024). Machine Learning for Polaritonic Chemistry: Accessing Chemical Kinetics. Journal of the American Chemical Society. 146(8). 5402–5413. 20 indexed citations
5.
Xu, Nan, C. Schäfer, Eric Lindgren, et al.. (2024). Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of Chemical Theory and Computation. 20(8). 3273–3284. 19 indexed citations
6.
Lindgren, Eric, J. Magnus Rahm, Erik Fransson, et al.. (2024). calorine: A Python package for constructing andsampling neuroevolution potential models. The Journal of Open Source Software. 9(95). 6264–6264. 16 indexed citations
7.
Fan, Zheyong, Yanzhou Wang, Penghua Ying, et al.. (2022). GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations. The Journal of Chemical Physics. 157(11). 114801–114801. 239 indexed citations breakdown →
8.
Lindgren, Eric, et al.. (1995). Behaviour of sulphur and nitrogen compounds measured at marine stations Lista and S�by in Scandinavia. Water Air & Soil Pollution. 85(4). 2039–2044. 3 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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