Dan S. Bloomberg

34 papers and 355 indexed citations i.

About

Dan S. Bloomberg is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Dan S. Bloomberg has authored 34 papers receiving a total of 355 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 Electronic, Optical and Magnetic Materials. 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 Meng H. Lean, Gordon F. Hughes, A. S. Arrott, D. Treves and Lynn Wilcox 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

Fields of papers citing papers by Dan S. Bloomberg

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 Dan S. Bloomberg. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025