Artur Dubrawski

1.3k total citations
27 papers, 524 citations indexed

About

Artur Dubrawski is a scholar working on Surgery, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Artur Dubrawski has authored 27 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Artur Dubrawski's work include Healthcare Technology and Patient Monitoring (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Time Series Analysis and Forecasting (4 papers). Artur Dubrawski is often cited by papers focused on Healthcare Technology and Patient Monitoring (7 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Time Series Analysis and Forecasting (4 papers). Artur Dubrawski collaborates with scholars based in United States, Poland and France. Artur Dubrawski's co-authors include Janusz Racz, Janusz Kasperkiewicz, Michael R. Pinsky, Gilles Clermont, Lujie Chen, Marilyn Hravnak, James L. Crowley, Donghan Wang, Eliezer Bose and B. Siemiątkowska and has published in prestigious journals such as Critical Care Medicine, Journal of the American Medical Informatics Association and BMJ Open.

In The Last Decade

Artur Dubrawski

23 papers receiving 481 citations

Peers

Artur Dubrawski
Comparison fields: 5 of 77
  • Civil and Structural Engineering 174
  • Surgery 141
  • Artificial Intelligence 111
  • Biomedical Engineering 82
  • Cardiology and Cardiovascular Medicine 71
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Citations per field, relative to Artur Dubrawski
Artur Dubrawski · 1×
Citations per year, relative to Artur Dubrawski
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Countries citing papers authored by Artur Dubrawski

Since Specialization
Citations

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

Fields of papers citing papers by Artur Dubrawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artur Dubrawski

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 11
4 25
5 65
6
Deep Spectral Clustering for Object Instance Segmentation
1
7 1
8 0
9 26
10 54
11 24
12 1
13 1
14 2
15
Artifact Patterns in Continuous Noninvasive Monitoring of Patients.
5
16 2
17 0
18 17
19 9
20 30

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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