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Rexford, NY, United States of America

Dhiraj Arora

Average Co-Inventor Count = 5.39

ph-index = 2

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 = 10

Dhiraj AroraScott Charles Evans (3 patents)Dhiraj AroraSamuel Davoust (2 patents)Dhiraj AroraFrederick Wilson Wheeler (1 patent)Dhiraj AroraGeorge Theodore Dalakos (1 patent)Dhiraj AroraLeonardo Cesar Kammer (20 patents)Dhiraj AroraSamuel Bryan Shartzer (3 patents)Dhiraj AroraBernard P Landa (1 patent)Dhiraj AroraAmeet Shridhar Deshpande (1 patent)Dhiraj AroraNurali Virani (1 patent)Dhiraj AroraDayu Huang (1 patent)Dhiraj AroraArunvenkataraman Subramanian (1 patent)Dhiraj AroraSu Liu (1 patent)Dhiraj AroraJoerg Wanink (1 patent)Dhiraj AroraSiyun Wang (1 patent)Dhiraj AroraSiyun Wang (0 patent)Dhiraj AroraDhiraj Arora (4 patents)Scott Charles EvansScott Charles Evans (61 patents)Samuel DavoustSamuel Davoust (12 patents)Frederick Wilson WheelerFrederick Wilson Wheeler (50 patents)George Theodore DalakosGeorge Theodore Dalakos (25 patents)Leonardo Cesar KammerLeonardo Cesar Kammer (20 patents)Samuel Bryan ShartzerSamuel Bryan Shartzer (14 patents)Bernard P LandaBernard P Landa (13 patents)Ameet Shridhar DeshpandeAmeet Shridhar Deshpande (11 patents)Nurali ViraniNurali Virani (9 patents)Dayu HuangDayu Huang (7 patents)Arunvenkataraman SubramanianArunvenkataraman Subramanian (4 patents)Su LiuSu Liu (2 patents)Joerg WaninkJoerg Wanink (1 patent)Siyun WangSiyun Wang (1 patent)Siyun WangSiyun Wang (0 patent)
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Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. General Electric Company (2 from 51,873 patents)

2. General Electric Renovables Espana, S.l. (2 from 168 patents)


4 patents:

1. 11661919 - Odometer-based control of a wind turbine power system

2. 11649804 - Systems and methods for controlling a wind turbine

3. 11231012 - Systems and methods for controlling a wind turbine

4. 11060504 - Systems and methods for continuous machine learning based control of wind turbines

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as of
12/4/2025
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