Simon Meyer Lauritsen

747 total citations · 1 hit paper
7 papers, 418 citations indexed

About

Simon Meyer Lauritsen is a scholar working on Epidemiology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Simon Meyer Lauritsen has authored 7 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Artificial Intelligence and 2 papers in General Health Professions. Recurrent topics in Simon Meyer Lauritsen's work include Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Healthcare Policy and Management (2 papers). Simon Meyer Lauritsen is often cited by papers focused on Machine Learning in Healthcare (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Healthcare Policy and Management (2 papers). Simon Meyer Lauritsen collaborates with scholars based in Denmark, United Kingdom and United States. Simon Meyer Lauritsen's co-authors include Marianne Johansson Jørgensen, Bo Thiesson, Jeppe Lange, Katrine Meyer Lauritsen, Mathias Vassard Olsen, Mads Ruben Burgdorff Kristensen, Anders H. Riis, Ulrick Espelund, Jesper Weile and Pia Kjær Kristensen and has published in prestigious journals such as Nature Communications, Medical Care and BMJ Open.

In The Last Decade

Simon Meyer Lauritsen

7 papers receiving 406 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.

Explainable artificial intelligence model to predict acute critical illness from electronic health records

2020 257 citations Simon Meyer Lauritsen, Mads Ruben Burgdorff Kristensen et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Meyer Lauritsen Denmark	5	251	132	82	59	48	7	418
Marianne Johansson Jørgensen Denmark	9	251 1.0×	145 1.1×	82 1.0×	59 1.0×	44 0.9×	15	492
Max Horn Switzerland	9	211 0.8×	207 1.6×	63 0.8×	43 0.7×	53 1.1×	17	507
Chris W. Barton United States	3	233 0.9×	239 1.8×	45 0.5×	55 0.9×	43 0.9×	5	392
Morgan Simons United States	6	155 0.6×	93 0.7×	98 1.2×	31 0.5×	96 2.0×	6	353
Stephanie L. Hyland United States	5	162 0.6×	87 0.7×	71 0.9×	29 0.5×	68 1.4×	10	338
Hans‐Christian Thorsen‐Meyer Denmark	8	153 0.6×	142 1.1×	41 0.5×	48 0.8×	37 0.8×	13	379
Fereshteh Razmi United States	2	275 1.1×	309 2.3×	78 1.0×	52 0.9×	63 1.3×	2	516
Piotr Jaroslaw Chmura Denmark	7	146 0.6×	109 0.8×	38 0.5×	51 0.9×	36 0.8×	14	335
Marta Fernandes United States	9	133 0.5×	73 0.6×	94 1.1×	72 1.2×	60 1.3×	22	409
Thomas Desautels United States	9	388 1.5×	348 2.6×	68 0.8×	91 1.5×	65 1.4×	10	633

Countries citing papers authored by Simon Meyer Lauritsen

Since Specialization

Citations

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

Fields of papers citing papers by Simon Meyer Lauritsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Meyer Lauritsen. 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 Simon Meyer Lauritsen. The network helps show where Simon Meyer Lauritsen may publish in the future.

Co-authorship network of co-authors of Simon Meyer Lauritsen

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

All Works

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7 of 7 papers shown

1.

Riis, Anders H., Pia Kjær Kristensen, Simon Meyer Lauritsen, Bo Thiesson, & Marianne Johansson Jørgensen. (2023). Using Explainable Artificial Intelligence to Predict Potentially Preventable Hospitalizations. Medical Care. 61(4). 226–236. 4 indexed citations

2.

Vistisen, Simon Tilma, Tom Pollard, Steve Harris, & Simon Meyer Lauritsen. (2022). Artificial intelligence in the clinical setting. European Journal of Anaesthesiology. 39(9). 729–732. 2 indexed citations

3.

Lauritsen, Simon Meyer, Bo Thiesson, Marianne Johansson Jørgensen, et al.. (2021). The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards. npj Digital Medicine. 4(1). 158–158. 36 indexed citations

4.

Lauritsen, Simon Meyer, et al.. (2020). Early detection of sepsis utilizing deep learning on electronic health record event sequences. Artificial Intelligence in Medicine. 104. 101820–101820. 106 indexed citations

5.

Riis, Anders H., et al.. (2020). Cohort profile: CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark. BMJ Open. 10(10). e039996–e039996. 10 indexed citations

6.

Lauritsen, Simon Meyer, Mads Ruben Burgdorff Kristensen, Mathias Vassard Olsen, et al.. (2020). Explainable artificial intelligence model to predict acute critical illness from electronic health records. Nature Communications. 11(1). 3852–3852. 257 indexed citations breakdown →

7.

Lauritsen, Simon Meyer, et al.. (2015). Bioreactor for quantification of cell metabolism by MR-hyperpolarization. Biomedical Physics & Engineering Express. 1(4). 47003–47003. 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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