Peter Bjørn Jørgensen

1.4k total citations · 1 hit paper
24 papers, 985 citations indexed

About

Peter Bjørn Jørgensen is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Bjørn Jørgensen has authored 24 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 9 papers in Computational Theory and Mathematics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Bjørn Jørgensen's work include Machine Learning in Materials Science (16 papers), Computational Drug Discovery Methods (9 papers) and Sparse and Compressive Sensing Techniques (2 papers). Peter Bjørn Jørgensen is often cited by papers focused on Machine Learning in Materials Science (16 papers), Computational Drug Discovery Methods (9 papers) and Sparse and Compressive Sensing Techniques (2 papers). Peter Bjørn Jørgensen collaborates with scholars based in Denmark, Switzerland and Germany. Peter Bjørn Jørgensen's co-authors include Mikkel N. Schmidt, Arghya Bhowmik, Tejs Vegge, Ole Winther, Aki Vehtari, Patrick Rinke, Milica Todorović, Annika Stuke, Kunal Ghosh and Karsten W. Jacobsen and has published in prestigious journals such as Chemical Reviews, The Journal of Chemical Physics and Journal of Materials Chemistry A.

In The Last Decade

Peter Bjørn Jørgensen

23 papers receiving 958 citations

Hit Papers

align trajectories sort by overperformance

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.

Artificial Intelligence Applied to Battery Research: Hype or Reality?

2021 339 citations Teo Lombardo, Marc Duquesnoy et al. Chemical Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Bjørn Jørgensen Denmark	11	509	473	268	206	92	24	985
Arghya Bhowmik Denmark	23	1.0k 2.0×	1.0k 2.2×	410 1.5×	130 0.6×	55 0.6×	73	2.0k
Helge S. Stein Germany	22	1.0k 2.0×	750 1.6×	174 0.6×	150 0.7×	39 0.4×	63	1.8k
Weike Ye United States	10	1.3k 2.5×	461 1.0×	80 0.3×	349 1.7×	97 1.1×	14	1.6k
Tanjin He United States	19	1.1k 2.1×	315 0.7×	139 0.5×	178 0.9×	51 0.6×	27	1.7k
Juhwan Noh South Korea	16	1.3k 2.6×	388 0.8×	56 0.2×	287 1.4×	41 0.4×	29	1.7k
Amil Merchant United States	4	740 1.5×	249 0.5×	53 0.2×	120 0.6×	54 0.6×	5	1.1k
Paul Raccuglia United States	2	872 1.7×	245 0.5×	54 0.2×	198 1.0×	66 0.7×	2	1.3k
Santosh K. Suram United States	22	1.4k 2.8×	566 1.2×	66 0.2×	127 0.6×	43 0.5×	53	1.9k
Philip Adler United Kingdom	5	888 1.7×	253 0.5×	55 0.2×	200 1.0×	68 0.7×	9	1.3k

Countries citing papers authored by Peter Bjørn Jørgensen

Since Specialization

Citations

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

Fields of papers citing papers by Peter Bjørn Jørgensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Bjørn Jørgensen. 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 Peter Bjørn Jørgensen. The network helps show where Peter Bjørn Jørgensen may publish in the future.

Co-authorship network of co-authors of Peter Bjørn Jørgensen

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

All Works

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20 of 20 papers shown

Jørgensen, Peter Bjørn, et al.. (2025). Graph2Mat: universal graph to matrix conversion for electron density prediction. Machine Learning Science and Technology. 6(2). 25013–25013. 1 indexed citations

Jørgensen, Peter Bjørn, et al.. (2023). Accelerated Workflow for Antiperovskite‐based Solid State Electrolytes. Batteries & Supercaps. 6(6). 10 indexed citations

Jørgensen, Peter Bjørn, et al.. (2023). Accelerated Workflow for Antiperovskite‐based Solid State Electrolytes. Batteries & Supercaps. 6(6). 5 indexed citations

Jørgensen, Peter Bjørn, et al.. (2023). Nanosecond MD of battery cathode materials with electron density description. Energy storage materials. 63. 103023–103023. 4 indexed citations

Busk, Jonas, Mikkel N. Schmidt, Ole Winther, Tejs Vegge, & Peter Bjørn Jørgensen. (2023). Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces. Physical Chemistry Chemical Physics. 25(37). 25828–25837. 8 indexed citations

Jørgensen, Peter Bjørn, et al.. (2023). Materials funnel 2.0 – data-driven hierarchical search for exploration of vast chemical spaces. Journal of Materials Chemistry A. 11(48). 26551–26561.

Busk, Jonas, Hamidreza Hajiyani, Peter Bjørn Jørgensen, et al.. (2023). Brokering between tenants for an international materials acceleration platform. Matter. 6(9). 2647–2665. 22 indexed citations

Bhowmik, Arghya, et al.. (2022). NeuralNEB—neural networks can find reaction paths fast. Machine Learning Science and Technology. 3(4). 45022–45022. 26 indexed citations

Nandi, Surajit, Jonas Busk, Peter Bjørn Jørgensen, Tejs Vegge, & Arghya Bhowmik. (2022). Cheap Turns Superior: A Linear Regression-Based Correction Method to Reaction Energy from the DFT. Journal of Chemical Information and Modeling. 62(19). 4727–4735. 2 indexed citations

10.

Jørgensen, Peter Bjørn & Arghya Bhowmik. (2022). Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids. npj Computational Materials. 8(1). 37 indexed citations

11.

Chang, Jin Hyun, et al.. (2021). On-the-fly assessment of diffusion barriers of disordered transition metal oxyfluorides using local descriptors. Electrochimica Acta. 388. 138551–138551. 16 indexed citations

12.

Lombardo, Teo, Marc Duquesnoy, Fabian Årén, et al.. (2021). Artificial Intelligence Applied to Battery Research: Hype or Reality?. Chemical Reviews. 122(12). 10899–10969. 339 indexed citations breakdown →

13.

Jørgensen, Peter Bjørn & Arghya Bhowmik. (2020). DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction. arXiv (Cornell University). 8 indexed citations

14.

Ghosh, Kunal, Annika Stuke, Milica Todorović, et al.. (2019). Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra. Advanced Science. 6(9). 1801367–1801367. 190 indexed citations

15.

Bhowmik, Arghya, Ivano E. Castelli, J. M. García‐Lastra, et al.. (2019). A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning. Energy storage materials. 21. 446–456. 80 indexed citations

16.

Jørgensen, Peter Bjørn, et al.. (2019). Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors. Physical review. B.. 100(10). 12 indexed citations

17.

Jørgensen, Peter Bjørn, et al.. (2018). An Iterative Receiver for OFDM With Sparsity-Based Parametric Channel Estimation. IEEE Transactions on Signal Processing. 66(20). 5454–5469. 9 indexed citations

18.

Jørgensen, Peter Bjørn, Mikkel N. Schmidt, & Ole Winther. (2018). Deep Generative Models for Molecular Science. Molecular Informatics. 37(1-2). 64 indexed citations

19.

Jørgensen, Peter Bjørn, Karsten W. Jacobsen, & Mikkel N. Schmidt. (2018). Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials. arXiv (Cornell University). 26 indexed citations

20.

Jørgensen, Peter Bjørn, et al.. (2011). Implementation of LTE SC-FDMA on the USRP2 software defined radio platform. VBN Forskningsportal (Aalborg Universitet). 34–39. 5 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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