Enter inventor name

Daniel Keim

USPTO Granted Patents = 31 (Patent Applications = 10)

Average Co-Inventor Count = 4.9

ph-index = 6

Forward Citations = 176(Granted Patents)

Location History:

Steiβlingen, DE (2015)
Arcisslingen, DE (2016)
Haupstrasse, DE (2016)
Steisslingen, DE (2005 - 2017)
Palo Alto, CA (US) (2018)
Hauptstrasse, DE (2019)
Constance, DE (2015 - 2020)
Hauptstrass, DE (2020)

Company Filing History:

16 out of 27,412

Hewlett-packard Development Company, L.P.

patents

8 out of 5,257

Hewlett Packard Enterprise Development LP

AT&T Intellectual Property I, LP

patents

Years Active: 2005-2020

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31 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 10699449 - Pixel-based temporal plot of events according to multidimensional scaling values based on event similarities and weighted dimensions (2020-06-30),

2. 10698910 - Generating cohorts using automated weighting and multi-level ranking (2020-06-30),

3. 10628412 - Iterative visualization of a cohort for weighted high-dimensional categorical data (2020-04-21),

4. 10614094 - Visualizing topics with bubbles including pixels (2020-04-07),

5. 10509800 - Visually interactive identification of a cohort of data objects similar to a query based on domain knowledge (2019-12-17),

6. 10198833 - Displaying visual analytics of entity data (2019-02-05),

7. 9946959 - Facilitating interpretation of high-dimensional data clusters (2018-04-17),

8. 9779524 - Visualization that indicates event significance represented by a discriminative metric computed using a contingency calculation (2017-10-03),

9. 9679401 - Generalized scatter plots (2017-06-13),

10. 9568502 - Visual analytics of spatial time series data using a pixel calendar tree (2017-02-14),

11. 9529899 - Visualizing motifs with visual structures (2016-12-27),

12. 9355357 - Computing predicted data according to weighted peak preservation and time distance biasing (2016-05-31),

13. 9280612 - Visualizing a relationship of attributes using a relevance determination process to select from candidate attribute values (2016-03-08),

14. 9262991 - Displaying visual analytics of entity data (2016-02-16),

15. 9256970 - Visual analytics of multivariate session data using concentric rings with overlapping periods (2016-02-09),

Title: Daniel Keim: A Pioneer in Data Visualization and Information Technology

Introduction:

Daniel Keim, a visionary inventor hailing from Steisslingen, DE, is a prominent figure in the technology industry. With an impressive portfolio of 31 patents, his unwavering dedication to innovation has significantly influenced the fields of data visualization and information technology.

Latest Patents:

Among his recent patents, "Generating cohorts using automated weighting and multi-level ranking" stands out. This invention involves automated weighting and multi-level ranking to generate cohorts of events, enhancing data analysis and visualization. Additionally, his patent on "Pixel-based temporal plot of events according to multidimensional scaling values" showcases his expertise in leveraging multidimensional scaling for visual representations of event similarities.

Career Highlights:

Throughout his career, Daniel Keim has made significant contributions to renowned companies like Hewlett-Packard Development Company and Hewlett Packard Enterprise Development LP. His insights and inventions have propelled the advancements in data visualization and information technology within these organizations.

Collaborations:

Keim's collaborations with accomplished individuals such as Ming C Hao and Umeshwar Dayal have further enriched his innovative journey. Together, they have pioneered new approaches and technologies that continue to redefine the standards in their respective fields.

Conclusion:

In conclusion, Daniel Keim's remarkable inventiveness and relentless pursuit of innovation have solidified his position as a trailblazer in technology. His patents and collaborations reflect his enduring impact on the future of data visualization and information technology, inspiring generations to come.

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