Dan S. Bloomberg

34 papers and 356 indexed citations i.

About

Dan S. Bloomberg is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Dan S. Bloomberg has authored 34 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Dan S. Bloomberg’s work include Magnetic properties of thin films (11 papers), Magnetic Properties and Applications (9 papers) and Handwritten Text Recognition Techniques (8 papers). Dan S. Bloomberg is often cited by papers focused on Magnetic properties of thin films (11 papers), Magnetic Properties and Applications (9 papers) and Handwritten Text Recognition Techniques (8 papers). Dan S. Bloomberg collaborates with scholars based in United States, France and Canada. Dan S. Bloomberg's co-authors include Gordon F. Hughes, Karl H. Norris, G. Kopec, Meng H. Lean, Lynn Wilcox, A. S. Arrott, D. Treves, V. Castelli, Petros Maragos and B. Heinrich and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Magnetics and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Dan S. Bloomberg i

Fields of papers citing papers by Dan S. Bloomberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan S. Bloomberg

Since Specialization
Citations

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