Václav Papež

407 total citations · 1 hit paper
10 papers, 189 citations indexed

About

Václav Papež is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Václav Papež has authored 10 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in Václav Papež's work include Biomedical Text Mining and Ontologies (3 papers), Chronic Disease Management Strategies (2 papers) and Semantic Web and Ontologies (2 papers). Václav Papež is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Chronic Disease Management Strategies (2 papers) and Semantic Web and Ontologies (2 papers). Václav Papež collaborates with scholars based in Czechia, United Kingdom and Netherlands. Václav Papež's co-authors include Spiros Denaxas, Wai Hoong Chang, Stefanie H. Mueller, Alvina G. Lai, Folkert W. Asselbergs, Richard Dobson, R Thomas Lumbers, Harry Hemingway, Elena Garcia Lara and Erica A. Voss and has published in prestigious journals such as Journal of the American Medical Informatics Association, Frontiers in Neuroinformatics and The Lancet Healthy Longevity.

In The Last Decade

Václav Papež

9 papers receiving 186 citations

Hit Papers

Comparing clinical trial ... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Comparing clinical trial population representativeness to real-world populations: an external validity analysis encompassing 43 895 trials and 5 685 738 individuals across 989 unique drugs and 286 conditions in England
    2022 133 citations Václav Papež, Wai Hoong Chang et al. The Lancet Healthy Longevity profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Václav Papež 38 33 25 23 22 10 189
W Schramm 47 1.2× 46 1.4× 28 1.1× 8 0.3× 21 1.0× 37 268
Alind Gupta 47 1.2× 26 0.8× 28 1.1× 49 2.1× 37 1.7× 20 300
Jaehyeong Cho 27 0.7× 16 0.5× 31 1.2× 21 0.9× 31 1.4× 30 270
Chris Knoll 23 0.6× 30 0.9× 62 2.5× 12 0.5× 36 1.6× 4 260
Nirosha Mahendraratnam 100 2.6× 25 0.8× 26 1.0× 25 1.1× 9 0.4× 17 287
G. Krishnan 12 0.3× 29 0.9× 28 1.1× 37 1.6× 68 3.1× 17 307
Laura Elizabeth Bedford 18 0.5× 40 1.2× 59 2.4× 54 2.3× 32 1.5× 28 328
Nicolás Ballarini 36 0.9× 33 1.0× 15 0.6× 6 0.3× 23 1.0× 22 272

Countries citing papers authored by Václav Papež

Since Specialization
Citations

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

Fields of papers citing papers by Václav Papež

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Václav Papež

This figure shows the co-authorship network connecting the top 25 collaborators of Václav Papež. A scholar is included among the top collaborators of Václav Papež 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 Václav Papež. Václav Papež 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
1.
Makadia, Rupa, Azza Shoaibi, Gowtham Rao, et al.. (2023). Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network. JAMIA Open. 6(4). ooad096–ooad096. 1 indexed citations
2.
Papež, Václav, Erica A. Voss, Elena Garcia Lara, et al.. (2022). Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. Journal of the American Medical Informatics Association. 30(1). 103–111. 27 indexed citations
3.
Papež, Václav, et al.. (2022). Comparing clinical trial population representativeness to real-world populations: an external validity analysis encompassing 43 895 trials and 5 685 738 individuals across 989 unique drugs and 286 conditions in England. The Lancet Healthy Longevity. 3(10). e674–e689. 133 indexed citations breakdown →
4.
Papež, Václav, Folkert W. Asselbergs, R Thomas Lumbers, et al.. (2021). Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure. JAMIA Open. 4(3). ooab001–ooab001. 20 indexed citations
5.
Papež, Václav, et al.. (2017). Applying an Archetype-Based Approach to Electroencephalography/Event-Related Potential Experiments in the EEGBase Resource. Frontiers in Neuroinformatics. 11. 24–24. 3 indexed citations
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8.
Papež, Václav, et al.. (2012). Very low noise DC power supply. International Conference on Applied Electronics. 99–102. 1 indexed citations
9.
Papež, Václav, et al.. (2012). Model of storage of ERP protocols in EEG/ERP portal. 1275–1279.
10.
Ježek, Petr, et al.. (2011). SEMANTIC WEB TECHNOLOGIES IN EEG/ERP DOMAIN - Software Solution. 618–621. 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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