Keld T. Lundgaard

1.7k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Keld T. Lundgaard is a scholar working on Artificial Intelligence, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Keld T. Lundgaard has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Molecular Biology. Recurrent topics in Keld T. Lundgaard's work include Fault Detection and Control Systems (2 papers), Machine Learning in Materials Science (1 paper) and Nuclear reactor physics and engineering (1 paper). Keld T. Lundgaard is often cited by papers focused on Fault Detection and Control Systems (2 papers), Machine Learning in Materials Science (1 paper) and Nuclear reactor physics and engineering (1 paper). Keld T. Lundgaard collaborates with scholars based in United States, Denmark and Iran. Keld T. Lundgaard's co-authors include Thomas Bligaard, Karsten W. Jacobsen, Jess Wellendorff, Jens K. Nørskov, Andreas Møgelhøj, Vivien Petzold, David D. Landis, Johannes Voss, K. Jensen and Samira Siahrostami and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review B and Physical Chemistry Chemical Physics.

In The Last Decade

Keld T. Lundgaard

6 papers receiving 1.4k 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.

Density functionals for surface science: Exchange-correlation model development with Bayesian error estimation

2012 1.2k citations Jess Wellendorff, Keld T. Lundgaard et al. Physical Review B profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keld T. Lundgaard United States	4	955	522	510	310	289	6	1.4k
Andreas Møgelhøj Denmark	6	901 0.9×	490 0.9×	485 1.0×	261 0.8×	388 1.3×	6	1.5k
Vivien Petzold Denmark	6	1.2k 1.3×	717 1.4×	734 1.4×	305 1.0×	284 1.0×	11	1.7k
David D. Landis Denmark	6	1.5k 1.6×	741 1.4×	542 1.1×	539 1.7×	242 0.8×	7	2.0k
Max J. Hoffmann United States	13	826 0.9×	366 0.7×	514 1.0×	148 0.5×	131 0.5×	15	1.1k
Sharan Shetty India	17	1.0k 1.1×	470 0.9×	778 1.5×	176 0.6×	228 0.8×	30	1.5k
Jason R. V. Sellers United States	7	653 0.7×	244 0.5×	329 0.6×	162 0.5×	198 0.7×	10	919
Trent L. Silbaugh United States	13	661 0.7×	333 0.6×	304 0.6×	183 0.6×	261 0.9×	18	972
José L. C. Fajín Portugal	25	1.2k 1.2×	614 1.2×	558 1.1×	294 0.9×	346 1.2×	54	1.6k
В. Н. Корчак Russia	23	1.5k 1.6×	172 0.3×	956 1.9×	296 1.0×	211 0.7×	143	1.7k
Craig Plaisance United States	14	592 0.6×	298 0.6×	352 0.7×	159 0.5×	86 0.3×	28	895

Countries citing papers authored by Keld T. Lundgaard

Since Specialization

Citations

This map shows the geographic impact of Keld T. Lundgaard'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 Keld T. Lundgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keld T. Lundgaard more than expected).

Fields of papers citing papers by Keld T. Lundgaard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keld T. Lundgaard. 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 Keld T. Lundgaard. The network helps show where Keld T. Lundgaard may publish in the future.

Co-authorship network of co-authors of Keld T. Lundgaard

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

All Works

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6 of 6 papers shown

1.

Wolfe, C. & Keld T. Lundgaard. (2019). Data Augmentation for Deep Transfer Learning.. arXiv (Cornell University). 1 indexed citations

2.

Lundgaard, Keld T.. (2018). Variational learning to rank (VL2R). 480–480. 1 indexed citations

3.

Lundgaard, Keld T., Jess Wellendorff, Johannes Voss, Karsten W. Jacobsen, & Thomas Bligaard. (2016). mBEEF-vdW: Robust fitting of error estimation density functionals. Physical review. B.. 93(23). 36 indexed citations

4.

Wellendorff, Jess, Keld T. Lundgaard, Karsten W. Jacobsen, & Thomas Bligaard. (2014). mBEEF: An accurate semi-local Bayesian error estimation density functional. The Journal of Chemical Physics. 140(14). 144107–144107. 113 indexed citations

5.

Siahrostami, Samira, Vladimir Tripković, Keld T. Lundgaard, et al.. (2013). First principles investigation of zinc-anode dissolution in zinc–air batteries. Physical Chemistry Chemical Physics. 15(17). 6416–6416. 43 indexed citations

6.

Wellendorff, Jess, Keld T. Lundgaard, Andreas Møgelhøj, et al.. (2012). Density functionals for surface science: Exchange-correlation model development with Bayesian error estimation. Physical Review B. 85(23). 1225 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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