Łukasz Romaszko
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Building and Construction
- Co-authors
- Christopher K. I. WilliamsIsabelle GuyonDirk HusmeierSérgio EscaleraHugo Jair EscalanteColin BerryAlexander StatnikovXiaoyu Luo
- Topics
- Elasticity and Material Modeling (3 papers)Cardiovascular Function and Risk Factors (3 papers)Cardiac Valve Diseases and Treatments (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceHealth Information Management
- Journals
- Pattern RecognitionArtificial Intelligence in MedicineEdinburgh Research Explorer
- Partner nations
- United KingdomMexicoAndorra
In The Last Decade
Łukasz Romaszko
8 papers receiving 62 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 25
- Computer Vision and Pattern Recognition 17
- Biomedical Engineering 12
- Cardiology and Cardiovascular Medicine 10
- Building and Construction 8
Countries citing papers authored by Łukasz Romaszko
This map shows the geographic impact of Łukasz Romaszko'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 Łukasz Romaszko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Łukasz Romaszko more than expected).
Fields of papers citing papers by Łukasz Romaszko
This network shows the impact of papers produced by Łukasz Romaszko. 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 Łukasz Romaszko. The network helps show where Łukasz Romaszko may publish in the future.
Co-authorship network of co-authors of Łukasz Romaszko
This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Romaszko. A scholar is included among the top collaborators of Łukasz Romaszko 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 Łukasz Romaszko. Łukasz Romaszko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention | 28 |
| 7 | Signal Correlation Prediction Using Convolutional Neural Networks | 3 |
| 8 | 5 |
About Łukasz Romaszko
Łukasz Romaszko is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 64 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (17 citations), Artificial Intelligence (25 citations) and Health Information Management (3 citations). Łukasz Romaszko has collaborated with scholars based in United Kingdom, Mexico and Andorra. Frequent co-authors include Christopher K. I. Williams, Isabelle Guyon, Dirk Husmeier, Sérgio Escalera, Hugo Jair Escalante, Colin Berry, Alexander Statnikov, Xiaoyu Luo, David R. Dalton and James Robert Lloyd. Their work appears in journals such as Pattern Recognition, Artificial Intelligence in Medicine and Edinburgh Research Explorer.
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.