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Colleyville, TX, United States of America

Thomas Francis Gianelle

Average Co-Inventor Count = 3.27

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 = 6

Thomas Francis GianelleMilan Shah (6 patents)Thomas Francis GianelleErnst Wilhelm Spannhake, Ii (6 patents)Thomas Francis GianelleGirish Wali (1 patent)Thomas Francis GianelleDeepali Tuteja (1 patent)Thomas Francis GianellePrasanth Babu Madakasira Ramakrishna (1 patent)Thomas Francis GianelleThomas Francis Gianelle (6 patents)Milan ShahMilan Shah (6 patents)Ernst Wilhelm Spannhake, IiErnst Wilhelm Spannhake, Ii (6 patents)Girish WaliGirish Wali (6 patents)Deepali TutejaDeepali Tuteja (6 patents)Prasanth Babu Madakasira RamakrishnaPrasanth Babu Madakasira Ramakrishna (4 patents)
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Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Citibank, N.a. (4 from 420 patents)

2. Citigroup Technology, Inc. (2 from 43 patents)


6 patents:

1. 12333395 - Systems and methods for cohort-based predictions in clustered time-series data in order to detect significant rate-of-change events

2. 12164525 - Systems and methods for aggregating time-series data streams based on potential state characteristics following aggregation

3. 12165035 - Systems and methods for responding to predicted events in time-series data using synthetic profiles created by artificial intelligence models trained on non-homogonous time-series data

4. 11948065 - Systems and methods for responding to predicted events in time-series data using synthetic profiles created by artificial intelligence models trained on non-homogeneous time-series data

5. 11868860 - Systems and methods for cohort-based predictions in clustered time-series data in order to detect significant rate-of-change events

6. 11704540 - Systems and methods for responding to predicted events in time-series data using synthetic profiles created by artificial intelligence models trained on non-homogenous time series-data

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as of
12/24/2025
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