Mitchell M. Goodsitt

130 papers and 4.0k indexed citations i.

About

Mitchell M. Goodsitt is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Mitchell M. Goodsitt has authored 130 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 53 papers in Pulmonary and Respiratory Medicine and 41 papers in Artificial Intelligence. Recurrent topics in Mitchell M. Goodsitt’s work include Digital Radiography and Breast Imaging (45 papers), Medical Imaging Techniques and Applications (43 papers) and AI in cancer detection (41 papers). Mitchell M. Goodsitt is often cited by papers focused on Digital Radiography and Breast Imaging (45 papers), Medical Imaging Techniques and Applications (43 papers) and AI in cancer detection (41 papers). Mitchell M. Goodsitt collaborates with scholars based in United States, South Korea and Japan. Mitchell M. Goodsitt's co-authors include Heang‐Ping Chan, Berkman Sahiner, Mark A. Helvie, Nicholas Petrick, Emmanuel Christodoulou, Dorit D. Adler, Sandra C. Larson, Lubomir M. Hadjiiski, Chuan Zhou and Paul L. Carson and has published in prestigious journals such as Ecology, Radiology and The Journal of the Acoustical Society of America.

In The Last Decade

Co-authorship network of co-authors of Mitchell M. Goodsitt i

Fields of papers citing papers by Mitchell M. Goodsitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mitchell M. Goodsitt

Since Specialization
Citations

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