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New York, NY, United States of America

Elsevier, Inc.

USPTO Granted Patents = 25

EPO Patents = 1

Trademarks = 136

Forward Citations = 37

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62 inventors (with patents filed for the assignee):

Chi Yeung Cheung (3 out of 3 patents)

Corey A Harper (3 out of 3 patents)

Antony Jason Scerri (3 out of 3 patents)

4. Edwin Adriaansen (3 out of 3 patents)

5. Hans-Frederick Brown (2 out of 19 patents)

6. Susanne Marcy Cohen (2 out of 2 patents)

7. Atul Kakrana (2 out of 2 patents)

8. Kaushik Raha (2 out of 2 patents)

9. Sandra Merten (2 out of 2 patents)

10. Michelle Gregory (2 out of 2 patents)

11. Bob J A Schijvenaars (2 out of 2 patents)

12. Edward Michael Gies (2 out of 2 patents)

13. Nathan Scott Ross (2 out of 2 patents)

14. Keith Gutfreund (1 out of 2 patents)

15. Antonio Gulli (1 out of 4 patents)

Core Competencies:

Information Extraction

Knowledge Discovery

Content Summarization

Context Extraction

Geological Indexing

Natural Language Processing

Dynamic Search

Document Annotations

Data Compression

Research Recommendations

Flowchart Analysis

Material Properties

25 patents: Sort by Forward Citations

1. 11704922 - Systems, methods and computer program products for automatically extracting information from a flowchart image (2023-07-18),

2. 11687734 - Systems and methods to extract the context of scientific measurements using targeted question answering (2023-06-27),

3. 11550835 - Systems and methods for automatically generating content summaries for topics (2023-01-10),

4. 11550828 - Systems and methods for indexing geological features (2023-01-10),

5. 11537788 - Methods, systems, and storage media for automatically identifying relevant chemical compounds in patent documents (2022-12-27),

6. 11366814 - Systems and methods for federated search with dynamic selection and distributed relevance (2022-06-21),

7. 11226999 - Systems and methods for providing recommendations for academic and research entities (2022-01-18),

8. 11176315 - Comprehensive in-situ structured document annotations with simultaneous reinforcement and disambiguation (2021-11-16),

9. 11151372 - Systems, methods and computer program products for automatically extracting information from a flowchart image (2021-10-19),

10. 11061940 - Systems and methods for indexing geological features (2021-07-13),

11. 11061873 - Systems and methods for electronic searching of materials and material properties (2021-07-13),

12. 10826781 - Systems and methods for extracting structure from large, dense, and noisy networks (2020-11-03),

13. 10817582 - Systems and methods for providing concomitant augmentation via learning interstitials for books using a publishing platform (2020-10-27),

14. 10740560 - Systems and methods for extracting funder information from text (2020-08-11),

15. 9971974 - Methods and systems for knowledge discovery (2018-05-15),

Company Overview

Elsevier, Inc. is a global leader in providing information and analytics solutions for the academic and professional sectors. Specializing in scientific, technical, and medical content, the company develops a wide array of digital tools and resources that facilitate research and knowledge dissemination. With a strong emphasis on enhancing the research process, Elsevier supports various disciplines through its extensive portfolio of journals, books, and databases, catering to the needs of researchers, educators, and healthcare professionals worldwide.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

25 Patents

#339 in New York, NY

#788 in New York

#13,364 in US

#25,710 in the World

New York, NY, United States of America

Elsevier, Inc.

Forward Citations = 37

62 inventors:

Chi Yeung Cheung (3 out of 3 patents)

Corey A Harper (3 out of 3 patents)

Antony Jason Scerri (3 out of 3 patents)

4. Edwin Adriaansen (3 out of 3 patents)

5. Hans-Frederick Brown (2 out of 19 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Elsevier, Inc.. Retrieved from https://idiyas.com/company/elsevier

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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