Roseland, NJ, United States of America

Dmitry Alexandrovich Tolstonogov

USPTO Granted Patents = 5 

Average Co-Inventor Count = 8.3

ph-index = 3

Forward Citations = 148(Granted Patents)


Company Filing History:


Years Active: 2017-2025

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5 patents (USPTO):Explore Patents

Title: Dmitry Alexandrovich Tolstonogov: Innovator in Job Level Prediction

Introduction

Dmitry Alexandrovich Tolstonogov is a notable inventor based in Roseland, NJ (US). He has made significant contributions to the field of technology, particularly in the area of job level prediction. With a total of four patents to his name, Tolstonogov has demonstrated his expertise and innovative spirit.

Latest Patents

One of his latest patents is focused on job level prediction. This invention involves a method, computer system, and computer program product designed to determine the job levels of employees within an organization. The computer system identifies employee data and determines whether an employee is a manager or a non-manager based on this data. If the employee is identified as a manager, the system applies a manager employee level model to ascertain the manager job level. Conversely, if the employee is a non-manager, a non-manager employee level model is utilized to determine the non-manager job level. Another patent involves a display screen or portion thereof with an animated graphical user interface.

Career Highlights

Tolstonogov is currently employed at ADP, Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on how organizations assess and categorize their employees.

Collaborations

Throughout his career, Tolstonogov has collaborated with talented individuals such as Xiaojing Wang and Min Xiao. These partnerships have contributed to the advancement of his projects and the successful development of his patents.

Conclusion

Dmitry Alexandrovich Tolstonogov is a distinguished inventor whose work in job level prediction showcases his innovative capabilities. His contributions to technology continue to influence the way organizations manage their workforce.

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