Pedro Leuschner

725 total citations
10 papers, 60 citations indexed

About

Pedro Leuschner is a scholar working on Health Information Management, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pedro Leuschner has authored 10 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Information Management, 3 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pedro Leuschner's work include Electronic Health Records Systems (5 papers), Artificial Intelligence in Healthcare (2 papers) and Machine Learning in Healthcare (2 papers). Pedro Leuschner is often cited by papers focused on Electronic Health Records Systems (5 papers), Artificial Intelligence in Healthcare (2 papers) and Machine Learning in Healthcare (2 papers). Pedro Leuschner collaborates with scholars based in Portugal, United States and Australia. Pedro Leuschner's co-authors include António Abelha, José Machado, Manuel Filipe Santos, João Pedro Ferreira, Rui Baptista, Joseph C. Roney, Bernadette R. Gochuico, Paula Pinto, Heidi Dorward and Filipe Froes and has published in prestigious journals such as Scientific Reports, European Respiratory Journal and American Journal of Medical Genetics Part A.

In The Last Decade

Pedro Leuschner

10 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Leuschner Portugal 6 27 12 11 8 6 10 60
Hilda Klasky United States 6 19 0.7× 33 2.8× 4 0.4× 7 0.9× 4 0.7× 17 71
Hans U. Prokosch Germany 4 13 0.5× 13 1.1× 14 1.3× 4 0.5× 4 0.7× 5 52
Tobias Gradinger Germany 4 20 0.7× 6 0.5× 8 0.7× 25 3.1× 5 0.8× 6 52
Alexander Kiel Germany 3 28 1.0× 12 1.0× 14 1.3× 10 1.3× 3 0.5× 7 53
Jason Ross United States 4 25 0.9× 37 3.1× 46 4.2× 8 1.0× 3 0.5× 7 141
Andrea Lorimer United Kingdom 3 24 0.9× 6 0.5× 14 1.3× 10 1.3× 2 0.3× 3 105
Detlef Kraska Germany 3 21 0.8× 11 0.9× 6 0.5× 29 3.6× 5 0.8× 3 43
Alexander Davydov Belarus 3 22 0.8× 26 2.2× 19 1.7× 5 0.6× 1 0.2× 5 85
Elizabeth Zampino United States 4 13 0.5× 18 1.5× 10 0.9× 4 0.5× 5 54
Emin Kuscu United States 4 10 0.4× 12 1.0× 17 1.5× 11 1.4× 2 0.3× 6 43

Countries citing papers authored by Pedro Leuschner

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Leuschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Leuschner

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

All Works

10 of 10 papers shown
2.
Leuschner, Pedro, et al.. (2022). Prediction of COVID-19 diagnosis based on openEHR artefacts. Scientific Reports. 12(1). 12549–12549. 7 indexed citations
3.
Leuschner, Pedro, et al.. (2021). OpenEHR modeling: improving clinical records during the COVID-19 pandemic. Health and Technology. 11(5). 1109–1118. 11 indexed citations
4.
Leuschner, Pedro, et al.. (2021). Steps towards an Healthcare Information Model based on openEHR. Procedia Computer Science. 184. 893–898. 7 indexed citations
5.
Leuschner, Pedro, et al.. (2020). Management of a Pandemic Based on an openEHR approach. Procedia Computer Science. 177. 522–527. 8 indexed citations
6.
Roney, Joseph C., Pedro Leuschner, Konrad Krzewski, et al.. (2020). Diagnosis of Chediak Higashi disease in a 67‐year old woman. American Journal of Medical Genetics Part A. 182(12). 3007–3013. 6 indexed citations
7.
Leuschner, Pedro, et al.. (2020). An OpenEHR Adoption in a Portuguese Healthcare Facility. Procedia Computer Science. 170. 1047–1052. 12 indexed citations
8.
Leuschner, Pedro, et al.. (2019). OpenEHR Meets Interoperability and Knowledge Engineering. RePEc: Research Papers in Economics. 9(1). 1–12. 3 indexed citations
9.
Ferreira, João Pedro, et al.. (2015). [Von Meyenburg complex or liver metastasis? Case report and literature review].. PubMed. 27(2). 271–3. 2 indexed citations
10.
Ferreira, João Pedro, et al.. (2014). Multidrug resistant acinetobacter baumanii pneumonia: Mortality analysis and comparison of intravenous versus aerosolized therapy. European Respiratory Journal. 44(Suppl 58). P4691–P4691. 1 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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2026