The solutions proposed by the ARTIREV team adress the following issue :

When you have to quickly and reliably master a field of scientific research, when thousands of texts match the keywords you enter in a search engine, when you have very little time to investigate the subject that interests you, what can you do to speed up the process and produce a reliable literature review?

Bibliometrics that we use in our work, is a young science that has been developing exponentially over the past 20 years. Like us, many teams offer maps constructed from the automated analysis of all scientific publications.

What differentiates the ARTIREV solution compared to what is proposed elsewhere?

Most of the solutions proposed by other teams offer maps which are built on analyses of terms used in publications of the relevant field. It is the recurrence of the use of these terms that determine the areas of meaning and it is from these recurrences that works will be considered as dealing with the same theme, that is to say belonging to a cluster. If this approach is very useful to obtain a stylized and general view of a field of research, our own work tends to show that textual analysis is insufficient to help a researcher to find his way in the overwhelming mass of information that he faces. When a researcher explores the scientific literature, he must first target the most relevant articles before exploring the peripheral articles in more detail. In other words, without distinction of articles, the dilemma of choosing the point of entry into dense literature remains.

With the ARTIREV tool, we offer a different approach. Before looking at the content of the articles in a research field, we first analyze their citation schemes. We offer two maps of a research field that provide different points of entries in the field. The first map allows the identification of the major schools of thought competing in the field that is investigated, with their founding and the seminal texts, on which the field was built. The second map highlights the current and emerging research themes of the field, with the central texts in each theme. The construction of these maps and their results are based on 10 years of research in bibliometrics.

With the help of our maps and their detailed content, a researcher or practitioner wishing to enter a vast and dynamic field of research such as that which has been created for example around the Covid-19 in recent months, will thus be able to orient themselves more easily and prioritize readings. We illustrate in this website, some of the maps on which we are working in the field of COVID19 and which we have made readily available to medical doctors.