Jakub Kufel
- Radiology, Nuclear Medicine and Imaging
- Health Informatics top 2%
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Maciej CebulaKatarzyna GruszczyńskaŁukasz CzogalikWiktoria BartnikowskaIga PaszkiewiczMaciej KoźlikZbigniew NawratAnna Lis
- Topics
- Radiomics and Machine Learning in Medical Imaging (7 papers)Artificial Intelligence in Healthcare and Education (7 papers)COVID-19 diagnosis using AI (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsBMJ Open
- Partner nations
- PolandUnited StatesAustria
In The Last Decade
Jakub Kufel
17 papers receiving 289 citations
Peers
Comparison fields: 5 of 110
- Radiology, Nuclear Medicine and Imaging 109
- Health Informatics 73
- Artificial Intelligence 52
- Pulmonary and Respiratory Medicine 41
- Biomedical Engineering 27
Countries citing papers authored by Jakub Kufel
This map shows the geographic impact of Jakub Kufel'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 Jakub Kufel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Kufel more than expected).
Fields of papers citing papers by Jakub Kufel
This network shows the impact of papers produced by Jakub Kufel. 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 Jakub Kufel. The network helps show where Jakub Kufel may publish in the future.
Co-authorship network of co-authors of Jakub Kufel
This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Kufel. A scholar is included among the top collaborators of Jakub Kufel 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 Jakub Kufel. Jakub Kufel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 170 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 26 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | Papieskie pielgrzymki w PRL | 0 |
| 19 | Opozycja demokratyczna w PRL w latach 1976–1981 | 0 |
| 20 | Czas przełomu : Solidarność 1980-1981 | 2 |
About Jakub Kufel
Jakub Kufel is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Family Practice, having authored 26 papers that have together received 301 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Health Informatics (73 citations), Radiology, Nuclear Medicine and Imaging (109 citations) and Family Practice (10 citations). Jakub Kufel has collaborated with scholars based in Poland, United States and Austria. Frequent co-authors include Maciej Cebula, Katarzyna Gruszczyńska, Łukasz Czogalik, Wiktoria Bartnikowska, Iga Paszkiewicz, Maciej Koźlik, Zbigniew Nawrat, Anna Lis, Arkadiusz Z. Dudek and Wojciech G. Polak. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMJ Open.
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.