James Alexander
24Patents
3h-index
18Co-inventors
56Inventor score
Filing activity: Oct 23, 2008 → Dec 9, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10417401B2 | Dynamic digital consent | Physics | 224 | Active |
| US8190122B1 | Method and system for managing mobile telephone numbers and mobile telephone subscribers' data without geography-based restriction | Electricity | 150 | Active |
| US8693982B2 | Method and system for managing mobile telephone numbers and mobile telephone subscribers' data without geography-based restriction | Electricity | 4 | Active |
| US10706704B1 | Utilizing a high generation cellular network for identifying devices associated with unauthorized activities and notifying enterprise facilities | Electricity | 3 | Active |
| US11605041B2 | Machine learning based decision model to open and close enterprise facilities | Physics | 2 | Active |
| US11356462B2 | Detecting and identifying devices at enterprise locations to protect enterprise-managed information and resources | Electricity | 1 | Active |
| US11337144B2 | Multicomputer signal processing to dynamically generate customized output and control functions | Electricity | 1 | Active |
| US11250680B2 | Utilizing a high generation cellular network for identifying devices associated with unauthorized activities and notifying enterprise facilities | Electricity | 0 | Active |
| US11763548B2 | Monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources | Physics | 0 | Active |
| US10678948B2 | Restricted multiple-application user experience via single-application mode | Physics | 0 | Active |
| US11436547B2 | Wearable device for operational compliance | Electricity | 0 | Active |
| US11763547B2 | Monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources | Physics | 0 | Active |
| US11044254B2 | Document orchestration system for processing digital consent information | Electricity | 0 | Active |
| US12346863B2 | Machine learning based decision model to open and close enterprise facilities | Physics | 0 | Active |
| US10853789B2 | Dynamic digital consent | Electricity | 0 | Active |
| US10567380B2 | Document orchestration system for processing digital consent information | Electricity | 0 | Active |
| US10733273B2 | Dynamic digital consent | Physics | 0 | Active |
| US11288494B2 | Monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources | Physics | 0 | Active |
| US11238180B2 | Restricted multiple-application user experience via single-application mode | Physics | 0 | Active |
| US10728760B2 | Frictionless hardening of digital consent | Electricity | 0 | Active |
| US11790638B2 | Monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources | Physics | 0 | Active |
| US11330006B2 | Detecting and identifying devices at enterprise locations to protect enterprise-managed information and resources | Electricity | 0 | Active |
| US10747858B2 | Dynamic digital consent | Physics | 0 | Active |
| US11778117B2 | Intelligent scanner device | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.