Various research activities rely on citation-based impact indicators. However these indicators are usually globally computed, hindering their proper interpretation in applications like research assessment and knowledge discovery. In this work, we advocate for the use of topic-aware categorical impact indicators, to alleviate the aforementioned problem. In addition, we extend BIP! Services to support those indicators and showcase their benefits in real-world research activities.

翻译：各类研究活动依赖于基于引文的影响力指标。然而，这些指标通常在全球范围内计算，阻碍了其在研究评估和知识发现等应用中的合理解读。本文主张采用面向主题的分类影响力指标，以缓解上述问题。此外，我们对BIP!服务进行扩展以支持这些指标，并展示其在真实研究活动中的优势。