The difficulty of searching papers is a source of stress for scientists and a waste of productivity for their employees. This issue will only worsen as scientific literature grows. We believe that addressing this issue is critical for the continuous development of science in the world. In our project, we develop a tool for interactive visual retrieval of academic literature that will significantly decrease the workload and increase the efficiency of scientists. In our project, we research the fields of Information Retrieval, Data Visualization, Natural Language Processing, Scientometrics, and Network Science.