Davide Placido

424 total citations
8 papers, 44 citations indexed

About

Davide Placido is a scholar working on Artificial Intelligence, Epidemiology and Health Information Management. According to data from OpenAlex, Davide Placido has authored 8 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Epidemiology and 2 papers in Health Information Management. Recurrent topics in Davide Placido's work include Machine Learning in Healthcare (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Davide Placido is often cited by papers focused on Machine Learning in Healthcare (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Davide Placido collaborates with scholars based in Denmark, Australia and Germany. Davide Placido's co-authors include Søren Brunak, Benjamin Skov Kaas‐Hansen, Hans‐Christian Thorsen‐Meyer, Anna Pors Nielsen, Amalie Dahl Haue, Jessica Xin Hjaltelin, Kumar Gaurav, Anders Perner, Cristina Leal Rodríguez and Theis Lange and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Lancet Oncology and Investigative Radiology.

In The Last Decade

Davide Placido

7 papers receiving 44 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide Placido Denmark	5	11	9	8	6	5	8	44
Thomas Falconer United States	4	29 2.6×	16 1.8×	9 1.1×	1 0.2×	4 0.8×	11	67
Jean-Baptiste Escudié France	6	20 1.8×	22 2.4×	21 2.6×	2 0.3×	9 1.8×	7	75
Luke E. Zabotka United States	3	4 0.4×	3 0.3×	7 0.9×	9 1.5×	3 0.6×	6	29
Emma Perez United States	3	2 0.2×	8 0.9×	11 1.4×		3 0.6×	9	98
Thore Buergel Germany	2	8 0.7×	5 0.6×	5 0.6×		4 0.8×	3	33
Adam Cross United States	3	11 1.0×	7 0.8×	28 3.5×		15 3.0×	6	68
Rajiv Nadukuru United States	5	21 1.9×	10 1.1×	19 2.4×		7 1.4×	6	99
Patricia Serre France	3	5 0.5×	6 0.7×	3 0.4×	2 0.3×	1 0.2×	3	36
Weiping Ma United States	6	4 0.4×	4 0.4×	14 1.8×		2 0.4×	11	77
Tamás Palicz Hungary	4	5 0.5×	2 0.2×	8 1.0×		5 1.0×	15	86

Countries citing papers authored by Davide Placido

Since Specialization

Citations

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

Fields of papers citing papers by Davide Placido

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Placido

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

All Works

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8 of 8 papers shown

Degand, Liesbeth, Alexandre Bône, Davide Placido, et al.. (2025). Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans. Investigative Radiology. 61(2). 75–83.

Jung, Alexander W., Kumar Gaurav, Jessica Xin Hjaltelin, et al.. (2024). Multi-cancer risk stratification based on national health data: a retrospective modelling and validation study. The Lancet Digital Health. 6(6). e396–e406. 6 indexed citations

Haue, Amalie Dahl, et al.. (2024). Artificial intelligence-aided data mining of medical records for cancer detection and screening. The Lancet Oncology. 25(12). e694–e703. 5 indexed citations

Muse, Victorine, Davide Placido, Amalie Dahl Haue, & Søren Brunak. (2024). Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases. BMC Medical Informatics and Decision Making. 24(1). 62–62. 1 indexed citations

Jørgensen, Isabella Friis, Amalie Dahl Haue, Davide Placido, Jessica Xin Hjaltelin, & Søren Brunak. (2024). Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives. PubMed. 7(1). 251–276. 3 indexed citations

Placido, Davide, et al.. (2023). Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients. SHILAP Revista de lepidopterología. 2(6). e0000116–e0000116. 4 indexed citations

Thorsen‐Meyer, Hans‐Christian, Davide Placido, Benjamin Skov Kaas‐Hansen, et al.. (2022). Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data. npj Digital Medicine. 5(1). 142–142. 18 indexed citations

Kaas‐Hansen, Benjamin Skov, Davide Placido, Cristina Leal Rodríguez, et al.. (2022). Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records. Basic & Clinical Pharmacology & Toxicology. 131(4). 282–293. 7 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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