Alejandra Piñero De Plaza

Driven by a focus on innovations that create lasting value, Dr Maria Alejandra Piñero de Plaza works at the intersection of evaluation, stakeholder alignment, and operational readiness. Through implementation science and caring science, she applies dynamic and adaptive strategies, artificial intelligence, and cross-disciplinary methods to move complex ideas beyond pilots and into sustainable adoption.

With a background in Marketing Science, Health Promotion, and Consumer Behaviour, and currently undertaking training in Applied Artificial Intelligence and Data Science at the Massachusetts Institute of Technology, she brings a distinctive perspective to understanding how people interact with technologies, environments, and information in complex health and socio-technical contexts. Her work combines behavioural insight, participatory approaches, and systems thinking to evaluate human behaviour, digital innovation, and the responsible integration of AI across disciplines, with proven applications in public health, healthcare interventions, and research and applications on evidence-informed system redesign.

Visit her research dissemination work at Springer Nature Research Communities:

Dr Piñero de Plaza leads the development of PROLIFERATE and PROLIFERATE_AI. These evaluation frameworks are co-designed with transdisciplinary teams to measure how people experience new technologies and services, as well as their likelihood of success in real-world settings.

Her research profile demonstrates strong alignment with these themes, with leading contributions in cardiac rehabilitation, transdisciplinary approaches to complex challenges, and caring science in nursing education and practice. According to SciVal analytics, her publication share and topic metrics highlight a distinctive cross-disciplinary reach and influence:

In addition, SciVal data show that her Field-Weighted Citation Impact (FWCI) has steadily increased over the last several years, now reaching 2.87 (with a median of 1.60). This indicates her publications are cited almost three times more often than the global average in the same fields, reflecting the visibility and influence of her work. The yearly breakdown demonstrates a consistent upward trajectory in scholarly impact, underscoring the translational value of her contributions.