Michael P. Eckert

15 papers and 371 indexed citations i.

About

Michael P. Eckert is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael P. Eckert has authored 15 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael P. Eckert’s work include Digital Radiography and Breast Imaging (6 papers), Radiation Dose and Imaging (3 papers) and Advanced X-ray and CT Imaging (3 papers). Michael P. Eckert is often cited by papers focused on Digital Radiography and Breast Imaging (6 papers), Radiation Dose and Imaging (3 papers) and Advanced X-ray and CT Imaging (3 papers). Michael P. Eckert collaborates with scholars based in United States and Australia. Michael P. Eckert's co-authors include Andrew P. Bradley, Gershon Buchsbaum, Andrew B. Watson, Dev P. Chakraborty, Gregory A. Carter, Anthony Maeder, Donald McLean and Robert Heard and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Philosophical Transactions of the Royal Society B Biological Sciences and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Michael P. Eckert i

Fields of papers citing papers by Michael P. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael P. Eckert

Since Specialization
Citations

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