Haaga

27 papers and 1.2k indexed citations i.

About

Haaga is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Haaga has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Haaga’s work include Radiation Dose and Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Haaga is often cited by papers focused on Radiation Dose and Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Haaga collaborates with scholars based in United States. Haaga's co-authors include R. J. Alfidi, FE Seidelmann, G. P. Borkowski, B D Fletcher, Benjamin Kaufman, Hubert Yeung, J P LiPuma, P J Bryan, Antonio Rodríguez-Antúnez and Mark Clampitt and has published in prestigious journals such as American Journal of Roentgenology, Journal of Computer Assisted Tomography and PubMed.

In The Last Decade

Co-authorship network of co-authors of Haaga i

Fields of papers citing papers by Haaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haaga

Since Specialization
Citations

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

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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