Halmstad, Sweden

Anna Emanuelsson


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 49(Granted Patents)


Company Filing History:

goldMedal1 out of 832,912 
Other
 patents

Years Active: 2006

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1 patent (USPTO):Explore Patents

Title: Anna Emanuelsson - Innovator in Data Processing Technology

Introduction

Anna Emanuelsson is a notable inventor based in Halmstad, Sweden. She has made significant contributions to the field of data processing, particularly through her innovative patent. Her work focuses on enhancing correlation analysis methods, which are crucial for various applications in technology and data management.

Latest Patents

Anna holds a patent for a "Data processing apparatus and method for correlation analysis." This invention provides a comprehensive solution for comparing objects associated with different data processing apparatuses. The apparatus includes an input device for accepting data sets, a memory for storage, a receiver for obtaining additional data, a transmitter for sending data, and a processor for performing correlation analysis. This innovative approach allows for efficient comparison and analysis of data, which is essential in today's data-driven world. She has 1 patent to her name.

Career Highlights

Throughout her career, Anna has demonstrated a strong commitment to advancing technology in data processing. Her innovative ideas and practical solutions have positioned her as a key figure in her field. She continues to explore new avenues for improving data analysis techniques, contributing to the ongoing evolution of technology.

Collaborations

Anna has worked alongside talented individuals such as Stephen J Carlton and Olle Bliding. Their collaborative efforts have further enriched her work and expanded the impact of her inventions.

Conclusion

Anna Emanuelsson is a pioneering inventor whose work in data processing technology is making a significant impact. Her innovative patent showcases her expertise and dedication to advancing the field. As technology continues to evolve, her contributions will undoubtedly play a vital role in shaping the future of data analysis.

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