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Announcements
28 April 2021
Book Builder—Compile a Customized E-Book from Your Favorite MDPI Open Access Content
MDPI Books recently released Book Builder, a new online tool to conveniently arrange, design and produce an eBook from any content published in MDPI journals. Book Builder offers two functions: on the one hand (1) Selections, available to every registered user of MDPI; on the other hand (2) Special Issue Reprints, which can be used exclusively by Guest Editors of Special Issues.
Selections
In just a matter of a few clicks, all users are now able to assemble books from MDPI articles and receive instantaneous feedback in the form of a fully produced and compiled book (PDF), which can be downloaded or ordered as print copy. Selections can include any paper published with MDPI, picking and combining content from different journals and special issues.
This way, the user may for example choose to compile an ebook focusing around a particular topic, or assemble articles from a group of others.
We invite you to make yourself familiar with the new tool! The Book Builder can be found here: https://www.mdpi.com/books/book_builder.
Special Issue Reprints
The Book Builder allows Guest Editors of MDPI journals to create a reprint from a successfully completed Special Issue or Topical Collection in book format. If you are a Guest Editor for an MDPI journal, you can use the new tool to create an PDF document which includes all articles published in the Special Issue as well as a book cover and table of contents.
For Special Issues containing a minimum of 5 articles, the Guest Editor can request its publication on the MDPI Book platform. Published reprints are assigned an ISBN and DOI.
In addition to the PDF copy of the Reprint Book, as a token of our gratitude, MDPI offers every Guest Editor one (1) complimentary print copy (via print-on-demand). All contributors benefit from a discount on orders of any additional print copies, to share with colleagues or libraries or others.
In line with our organization's values, MDPI Books publishes all content in open access, promoting the exchange of ideas and knowledge in a globalized world. MDPI Books encompasses all the benefits of open access—high availability and visibility, as well as wide and rapid dissemination. MDPI Books are distributed under the terms and conditions of the Creative Commons Attribution License, meaning as an author you retain the copyright for your work. In addition, with MDPI Books you can complement the digital version of your work with a high-quality printed counterpart.
If you are interested in editing a book volume or series, or have a monograph manuscript to be considered for publication, please submit your proposal online and look at our Information for Authors.
Contact: Laura Wagner, MDPI Books Manager (email)
15 April 2021
MDPI Celebrates Company Milestone With 25th Anniversary Page
"We exist to help scientists achieve their own objectives"

In June of this year, MDPI will celebrate the 25th anniversary of its foundation. To mark this significant milestone, we have created a 25th Anniversary page on our website that evokes the development of our company over the past quarter-century.
MDPI has been a pioneer of Open Access publishing ever since the concept was first created.
In a wide-ranging interview, our CEO Delia Mihaila reflects on the company’s 25th anniversary and its contribution to the world of scientific publishing.
Delia considers how MDPI has evolved since starting life in 1996 as a visionary ‘project’ run out of an apartment in Basel, Switzerland, by Dr. Shu-Kun Lin. A chemist who was passionate about the long-term preservation of rare chemical sample, Dr. Lin was determined to help scholars publish their findings as quickly as possible and make their research results available to as wide a readership as possible worldwide. That determination remains unchanged 25 years later.
Today, MDPI is an international organization with over 4,000 employees based on three continents and in ten countries, and ranks among the world's top four academic publishers.
MDPI's mission is to accelerate access to new scientific research, delivering insight faster for researchers worldwide. Read more here about the company's remarkable success story and what the Open Access publishing model can offer the global scientific community.
10 March 2021
Journal Selector: Helping to Find the Right MDPI Journal for Your Article
At MDPI, we strive to make your online publication process seamless and efficient. To achieve this, our team is continuously developing tools and features to make the user experience useful and convenient.
As the number of academic papers continues to grow, so does the need to analyze and work with them on a large scale. This prompted us to design a new feature aimed at helping researchers find journals that are relevant to their publication by matching their abstract topic. In this regard, we designed a similarity model that automatically identifies the most suitable academic journals for your paper.
We are pleased to introduce Journal Selector, a new feature that measures similarity in academic contexts. By simply entering the title and/or abstract into our Journal Selector, the author will see a list of the most related scientific journals published by MDPI. This method helps authors select the correct journals for their papers, highlighting the time of publication and citability.
The methodology is known as representation learning, where words are represented as vectors in hyperspace. Representation helps us differentiate between different concepts within articles, and in turn, helps us identify similarities between them.
We used an advanced machine learning model to better capture the semantic meanings of words. This helps the algorithm make better predictions by leveraging scientific text representation. In turn, this ensures high precision, helping authors decide which journal they should submit their paper to.
The goal is to support authors to publish their work in the most suitable journal for their research, as fast as possible, accelerating their career progress.
Contact: Andrea Perlato, Head of Data Analytics, MDPI (email)