Mariusz Bajger

23 papers and 149 indexed citations i.

About

Mariusz Bajger is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mariusz Bajger has authored 23 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Mariusz Bajger’s work include AI in cancer detection (8 papers), Medical Image Segmentation Techniques (7 papers) and Image Retrieval and Classification Techniques (5 papers). Mariusz Bajger is often cited by papers focused on AI in cancer detection (8 papers), Medical Image Segmentation Techniques (7 papers) and Image Retrieval and Classification Techniques (5 papers). Mariusz Bajger collaborates with scholars based in Australia, Saudi Arabia and China. Mariusz Bajger's co-authors include Murk J. Bottema, Fei Ma, Gobert Lee, John Slavotinek, Amos R. Omondi, Martin Caon, Limin Yu, Minh‐Son To, Yifan Liu and Adam J. Wells and has published in prestigious journals such as Pattern Recognition, Fuzzy Sets and Systems and BMC Health Services Research.

In The Last Decade

Co-authorship network of co-authors of Mariusz Bajger i

Fields of papers citing papers by Mariusz Bajger

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Mariusz Bajger. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mariusz Bajger may publish in the future.

Countries citing papers authored by Mariusz Bajger

Since Specialization
Citations

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

Rankless by CCL
2025