Our data is useful for governments and NGOs for a wide range of purposes: ranging from generating invite lists for deep tech conferences or monitoring performance of national researchers in fields such as artificial intellgence and computing technologies.
Governments and NGOs play a vital role in shaping national and global research agendas, and their need for accurate, up-to-date, and actionable intelligence on research activity is greater than ever. Scientometrics.ai delivers precisely this intelligence by offering curated, field-specific datasets focused on deep tech disciplines such as artificial intelligence, quantum computing, and robotics. These datasets include structured rankings of researchers based on bibliometric indicators (e.g., h-index, citation count, and normalized impact metrics), enabling evidence-based decision-making in science policy and programmatic funding.
In sum, the scientometrics.ai dataset is not just a rankings engine - it is a strategic intelligence layer for any public-interest entity engaging with deep tech science.
NGOs
For NGOs, particularly those involved in scientific diplomacy, global education, and research capacity building, the platform supports stakeholder mapping, collaboration identification, and program targeting. For instance, an NGO planning a global AI ethics conference can use our data to generate invite lists based on a regionally diverse and academically rigorous researcher pool. Similarly, NGOs evaluating gender equity in computing research across low- and middle-income countries can leverage our structured author-level data to analyze participation and impact across demographics and geographies.
Furthermore, the platform’s emphasis on deep tech ensures relevance in mission-critical domains. These fields often lack mature commercial pipelines and require long-term policy support - yet they are also where frontier innovation occurs. By providing fine-grained researcher-level insights, scientometrics.ai empowers public and third-sector institutions to make high-stakes decisions - such as talent migration tracking, fellowship allocation, or cross-border R&D partnerships - backed by rigorous data.
Government agencies
For government agencies, the product enables strategic oversight of national research output and performance benchmarking across institutions. For example, ministries of science and technology can track the progress of publicly funded AI researchers, identify rising stars, and ensure alignment between national investment and scientific impact. This aligns with broader trends: countries such as the U.S., China, and Germany regularly publish national AI strategies that rely heavily on performance metrics to guide policy. Scientometrics.ai supplements this process by offering disambiguated, structured, and high-resolution data that overcomes the common pitfalls of raw bibliometric scraping - such as author name ambiguity and field misclassification.