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Fremont, CA, United States of America

Nikesh Padakanti

Average Co-Inventor Count = 5.08

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 = 19

Nikesh PadakantiAdam Jamison Oliner (9 patents)Nikesh PadakantiDayanand Pochugari (9 patents)Nikesh PadakantiAungon Nag Radon (8 patents)Nikesh PadakantiDipock Das (8 patents)Nikesh PadakantiAnand Srinivasabagavathar (7 patents)Nikesh PadakantiNeeraj Verma (7 patents)Nikesh PadakantiNamratha Sreekanta (2 patents)Nikesh PadakantiRoussi Roussev (2 patents)Nikesh PadakantiAungon Nag Radon (1 patent)Nikesh PadakantiDipock Das (1 patent)Nikesh PadakantiAnudeep Chennupati (1 patent)Nikesh PadakantiNikesh Padakanti (11 patents)Adam Jamison OlinerAdam Jamison Oliner (85 patents)Dayanand PochugariDayanand Pochugari (19 patents)Aungon Nag RadonAungon Nag Radon (19 patents)Dipock DasDipock Das (18 patents)Anand SrinivasabagavatharAnand Srinivasabagavathar (9 patents)Neeraj VermaNeeraj Verma (7 patents)Namratha SreekantaNamratha Sreekanta (4 patents)Roussi RoussevRoussi Roussev (2 patents)Aungon Nag RadonAungon Nag Radon (3 patents)Dipock DasDipock Das (2 patents)Anudeep ChennupatiAnudeep Chennupati (1 patent)
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Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Splunk Inc. (10 from 1,852 patents)

2. Cisco Technology, Inc. (1 from 20,399 patents)


11 patents:

1. 12189644 - Creating dashboards for viewing data in a data storage system based on natural language requests

2. 12135788 - Generating information technology incident risk score narratives

3. 11914588 - Determining a user-specific approach for disambiguation based on an interaction recommendation machine learning model

4. 11829378 - Automated generation of insights for machine generated data

5. 11494395 - Creating dashboards for viewing data in a data storage system based on natural language requests

6. 11461320 - Determining a user-specific approach for disambiguation based on an interaction recommendation machine learning model

7. 11170016 - Navigating hierarchical components based on an expansion recommendation machine learning model

8. 11120344 - Suggesting follow-up queries based on a follow-up recommendation machine learning model

9. 10885026 - Translating a natural language request to a domain-specific language request using templates

10. 10713269 - Determining a presentation format for search results based on a presentation recommendation machine learning model

11. 10565196 - Determining a user-specific approach for disambiguation based on an interaction recommendation machine learning model

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