This paper presents the gateway of the domain-specific Knowledge Graph (KG), which was built based on related data sources and by exploiting the OpenAIRE ecosystem and EOSC services. These enabled it to offer services for integrated KG smart browsing based on impact and reproducibility using AI by also serving several categories of stakeholders. Following the current trends and stakeholders’ needs, the areas of highest interest were identified and gaps in data and knowledge were also detected. On top of that knowledge space, transport research-inspired information retrieval scenarios were implemented by tuning the use of individual AI-assisted services or combinations of them. More specifically, scenarios were built around different use case directions including reproducibility/reusability reports for publications and/or datasets in the transport research sector which were automatically identified and they included information about the ease to reproduce/reuse them and the extent to which the work has already been reproduced by meta-analysis studies.