Growing community of inventors

Fremont, CA, United States of America

Anand Srinivasabagavathar

Average Co-Inventor Count = 6.75

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 = 33

Anand SrinivasabagavatharAungon Nag Radon (9 patents)Anand SrinivasabagavatharDayanand Pochugari (9 patents)Anand SrinivasabagavatharAdam Jamison Oliner (7 patents)Anand SrinivasabagavatharDipock Das (7 patents)Anand SrinivasabagavatharNikesh Padakanti (7 patents)Anand SrinivasabagavatharNeeraj Verma (7 patents)Anand SrinivasabagavatharXin Li (2 patents)Anand SrinivasabagavatharYow Han Moo (2 patents)Anand SrinivasabagavatharVenkat Mamdi (2 patents)Anand SrinivasabagavatharAnand Srinivasabagavathar (9 patents)Aungon Nag RadonAungon Nag Radon (19 patents)Dayanand PochugariDayanand Pochugari (19 patents)Adam Jamison OlinerAdam Jamison Oliner (85 patents)Dipock DasDipock Das (18 patents)Nikesh PadakantiNikesh Padakanti (11 patents)Neeraj VermaNeeraj Verma (7 patents)Xin LiXin Li (54 patents)Yow Han MooYow Han Moo (2 patents)Venkat MamdiVenkat Mamdi (2 patents)
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Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Splunk Inc. (9 from 1,852 patents)


9 patents:

1. 11914588 - Determining a user-specific approach for disambiguation based on an interaction recommendation machine learning model

2. 11886430 - Intent-based natural language processing system

3. 11461320 - Determining a user-specific approach for disambiguation based on an interaction recommendation machine learning model

4. 11269872 - Intent-based natural language processing system

5. 11170016 - Navigating hierarchical components based on an expansion recommendation machine learning model

6. 11120344 - Suggesting follow-up queries based on a follow-up recommendation machine learning model

7. 10885026 - Translating a natural language request to a domain-specific language request using templates

8. 10713269 - Determining a presentation format for search results based on a presentation recommendation machine learning model

9. 10565196 - Determining a user-specific approach for disambiguation based on an interaction recommendation machine learning model

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