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For the Inventor, By the Inventor

Walldorf, Germany

Cornelia Kinder

USPTO Granted Patents = 14

Average Co-Inventor Count = 4.7

ph-index = 3

Forward Citations = 46(Granted Patents)


Location History:

  • Sandhausen, DE (2015)
  • Walldorf, DE (2017 - 2020)

Company Filing History:

goldMedal13 out of 5,892 
 
Sap Se
 patents
silverMedal1 out of 3,607 
 
Sap Ag
 patents

Years Active: 2015-2020

where 'Filed Patents' based on already Granted Patents

14 patents (USPTO):
1. 10839012 - Adaptable adjacency structure for querying graph data (2020-11-17),
2. 10810259 - Graph data derivatives (2020-10-20),
3. 10546021 - Adjacency structures for executing graph algorithms in a relational database (2020-01-28),
4. 10528341 - User-configurable database artifacts (2020-01-07),
5. 10417216 - Determining an intersection between keys defining multi-dimensional value ranges (2019-09-17),
6. 10394855 - Graph-modeled data processing in a relational database (2019-08-27),
7. 10203952 - Transparently splitting and rewriting data-base object bundles to database entities (2019-02-12),
8. 10114859 - Extensions of structured query language for database-native support of graph data (2018-10-30),
9. 10114626 - Database level containers (2018-10-30),
10. 9996330 - Deployment process plugin architecture (2018-06-12),
11. 9710262 - User-configurable database artifacts (2017-07-18),
12. 9600269 - Deployment of database objects (2017-03-21),
13. 9547490 - Sorting runtime calls of design time artifacts via data dependencies (2017-01-17),
14. 9047105 - Configuration modeling with objects (2015-06-02),

Title: Cornelia Kinder: A Pioneer in Graph Data Algorithms

Introduction:

Cornelia Kinder, based in Walldorf, Germany, is an innovative inventor recognized for her contributions to graph data algorithms. With a total of 14 patents to her name, she has made significant strides in enhancing the efficiency of data querying and graph algorithm execution.

Latest Patents:

Among her most recent patents are "Adaptable adjacency structure for querying graph data" and "Graph data derivatives." Both patents detail methods for executing graph algorithms by dynamically modifying existing adjacency structures to incorporate additional required data. This process ultimately facilitates more effective querying of graph data stored in databases. These inventions include provisions for related systems and computer program products, showcasing her commitment to advancing technology in data management.

Career Highlights:

Cornelia has held significant positions at leading companies, including SAP SE and SAP AG. Her work has focused on developing advanced methods for data processing and algorithm execution, which have been pivotal in optimizing performance for businesses relying on complex data systems.

Collaborations:

Throughout her career, Cornelia has collaborated with notable colleagues, including Christopher Schildt and Alexander Bunte. These partnerships have allowed her to innovate further and expand the applications of her research and patents, contributing to the broader field of computer science and data analytics.

Conclusion:

Cornelia Kinder stands out as a remarkable inventor in the realm of graph data technologies. Her patents illustrate her innovative thinking and commitment to enhancing data algorithm efficiency. As she continues to develop groundbreaking methods, her contributions will undoubtedly leave a lasting impact on the industry.

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