Tempe, AZ, United States of America

Abhinav Bhatnagar

This inventor holds 1 USPTO granted patent. Top assignee: Arizona State University. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abhinav Bhatnagar. Retrieved from https://idiyas.com/inventor/abhinav-bhatnagar

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Abhinav Bhatnagar: Innovator in Viral Cascade Prediction

Introduction

Abhinav Bhatnagar is a notable inventor based in Tempe, AZ (US). He has made significant contributions to the field of social network analysis through his innovative patent. His work focuses on predicting viral cascades, which has important implications for understanding information dissemination in social media.

Latest Patents

Abhinav Bhatnagar holds a patent titled "Systems and methods for order-of-magnitude viral cascade prediction in social networks." This patent discloses systems and methods for predicting order-of-magnitude viral cascades in social networks. His innovative approach provides valuable insights into how information spreads across various platforms.

Career Highlights

Abhinav is affiliated with Arizona State University, where he contributes to research and development in his area of expertise. His academic background and research initiatives have positioned him as a key figure in the study of social networks and viral phenomena.

Collaborations

Abhinav has collaborated with notable colleagues, including Paulo Shakarian and Ruocheng Guo. These partnerships enhance the depth and breadth of his research, allowing for a multidisciplinary approach to tackling complex problems in social network analysis.

Conclusion

Abhinav Bhatnagar's work in predicting viral cascades in social networks exemplifies the intersection of technology and social science. His contributions are paving the way for future innovations in understanding how information spreads in the digital age.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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