Elizabeth, CO, United States of America

John Steven Reiter

This inventor holds 2 USPTO granted patents. Top assignee: Ihs Global Inc.. Active years: 2016-2018.


% Patents Active = 50.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2016-2018

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Innovations by John Steven Reiter

Introduction

John Steven Reiter is an accomplished inventor based in Elizabeth, Colorado. He has made significant contributions to the field of data visualization through his innovative patents. With a total of 2 patents, Reiter's work focuses on enhancing the understanding of complex data relationships.

Latest Patents

Reiter's latest patents include a system and method for visualizing the relationship of complex data attributes. This innovative mapping module is designed to create a preview layer that depicts attributes of real-world objects located within the boundaries of a map. The mapping module utilizes search criteria to highlight multiple attributes without the need to create a separate filtered data set for each attribute. Additionally, it can adjust the boundaries of the map in response to changed search criteria and modify the displayed attributes accordingly. By emphasizing selected attributes, the mapping module aids in visually identifying relationships between complex real-world objects.

Career Highlights

Reiter is currently employed at IHS Global Inc., where he continues to develop and refine his innovative ideas. His work has garnered attention for its practical applications in data analysis and visualization.

Collaborations

Some of Reiter's notable coworkers include Betsy Palkowsky and Scott Steigerwald, who contribute to the collaborative environment at IHS Global Inc.

Conclusion

John Steven Reiter's contributions to data visualization through his patents demonstrate his commitment to innovation and problem-solving in complex data environments. His work continues to influence the way we understand and interact with data.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…