Growing community of inventors

Snohomish, WA, United States of America

Paul Christopher Cerda

Average Co-Inventor Count = 6.93

ph-index = 3

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 232

Paul Christopher CerdaKelly Duggar Wiggins (5 patents)Paul Christopher CerdaThibault Pierre Seillier (5 patents)Paul Christopher CerdaPaul Kasper (5 patents)Paul Christopher CerdaLeo Parker Dirac (4 patents)Paul Christopher CerdaSean Michael Scott (4 patents)Paul Christopher CerdaBlair Livingstone Hotchkies (4 patents)Paul Christopher CerdaAnthony T Chor (4 patents)Paul Christopher CerdaWilliam Joseph Kaper (4 patents)Paul Christopher CerdaMin Chong (4 patents)Paul Christopher CerdaKevin Andrew Granade (4 patents)Paul Christopher CerdaUdip Pant (4 patents)Paul Christopher CerdaPallami Bhattacharjee (4 patents)Paul Christopher CerdaBradley Scott Bowman (4 patents)Paul Christopher CerdaJeremy Boynes (1 patent)Paul Christopher CerdaAman Agarwal (1 patent)Paul Christopher CerdaPaul Christopher Cerda (9 patents)Kelly Duggar WigginsKelly Duggar Wiggins (7 patents)Thibault Pierre SeillierThibault Pierre Seillier (6 patents)Paul KasperPaul Kasper (5 patents)Leo Parker DiracLeo Parker Dirac (50 patents)Sean Michael ScottSean Michael Scott (47 patents)Blair Livingstone HotchkiesBlair Livingstone Hotchkies (33 patents)Anthony T ChorAnthony T Chor (17 patents)William Joseph KaperWilliam Joseph Kaper (8 patents)Min ChongMin Chong (6 patents)Kevin Andrew GranadeKevin Andrew Granade (4 patents)Udip PantUdip Pant (4 patents)Pallami BhattacharjeePallami Bhattacharjee (4 patents)Bradley Scott BowmanBradley Scott Bowman (4 patents)Jeremy BoynesJeremy Boynes (55 patents)Aman AgarwalAman Agarwal (1 patent)
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Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Amazon Technologies, Inc. (9 from 22,475 patents)


9 patents:

1. 11457078 - Machine learning based content delivery

2. 10311371 - Machine learning based content delivery

3. 10311372 - Machine learning based content delivery

4. 10275459 - Source language content scoring for localizability

5. 10261995 - Semantic and natural language processing for content categorization and routing

6. 10235362 - Continuous translation refinement with automated delivery of re-translated content

7. 10229113 - Leveraging content dimensions during the translation of human-readable languages

8. 10223356 - Abstraction of syntax in localization through pre-rendering

9. 10225365 - Machine learning based content delivery

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as of
12/3/2025
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