Elsevier provides faster access to engineering answers and insights through enhanced Knovel platform

New user interface and advanced search technology helps engineers increase productivity, build foundational knowledge and solve problems with high business impact

New York, October 17, 2017

Elsevier, the information analytics business specializing in science and health, is making it easier for engineers, researchers and students to find answers and insights into increasingly complex engineering problems, and build foundational knowledge, with enhancements to its flagship engineering decision support solution, Knovel.

Knovel’s enhanced platform delivers increased productivity and a faster path to relevant answers through new search and analytics capabilities, helping users sift through vast amounts of information. The new user interface delivers an intuitive and personalized user experience, especially for first time Knovel users. It supports users by:

  • Providing data-rich answers and insights in engineering best-practices and foundational knowledge from multiple sources and content types
  • Enabling faster results by applying machine learning to generate “auto-suggest,” “featured results” and “refine by suggestions”
  • Personalizing experience – engineers can save notes and search history, review their recent activity and enjoy seamless reading between computer and mobile device through the MyKnovel ToGo mobile app
  • Helping engineers find and apply engineering equations and validated data points to solve operational challenges
  • Introducing new analytics capabilities to allow engineers to quickly find material properties insights

“The problems facing engineers today are increasingly complex,” said Sumita Singh, Managing Director, Reference Solutions, Elsevier. “And, because of the vast amounts of information created at an ever-increasing rate, it’s becoming harder to find the relevant information required to tackle these challenges. If researchers and engineers are going to be successful in taking on the grand challenges of the 21st century, they need to have access to tools that are able to keep up with these changes and give them fast and continuous access to key insights.”

“By taking advantage of capabilities such as machine learning and analytics, Knovel now delivers targeted results and insights for the ever increasing number of digital native users entering the workforce. With people increasingly used to searching online for any information they need, workplaces now also need to meet this expectation in the same way.”

As the amount of engineering data in existence continues to rise, it’s important for engineers and researchers to have access to digital tools that can filter out irrelevant information, allowing for faster insights. The upgrades to the Knovel platform meet this demand through improved personalization, tailoring the experience to each user’s needs, and providing them with greater visibility of engineering data. The new version also offers better discoverability of related information, helping users to build up key foundational knowledge and concepts faster than before.


About Elsevier
Elsevier is a global information analytics business that helps scientists and clinicians to find new answers, reshape human knowledge, and tackle the most urgent human crises. For 140 years, we have partnered with the research world to curate and verify scientific knowledge. Today, we’re committed to bringing that rigor to a new generation of platforms. Elsevier provides digital solutions and tools in the areas of strategic research management, R&D performance, clinical decision support, and professional education; including ScienceDirect, Scopus, SciVal, ClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized journals, including The Lancet and Cell, 39,000 e-book titles and many iconic reference works, including Gray's Anatomy. Elsevier is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. www.elsevier.com

Christopher Capot
Global Communications, Elsevier
+1 917 704 5174