Metrics in research refer to various quantitative measures that are used to evaluate the impact, quality, and performance of research outputs. Some common research area metrics include: 1. Citation count: The number of times a research article has been cited by other researchers is an important measure of the impact and influence of the work. 2. Impact factor: A measure of the frequency with which the average article in a journal has been cited in a particular year, the impact factor is often used to evaluate the prestige and quality of a journal. 3. H-index: A metric that combines the number of publications with the number of citations received by those publications, the H-index is used to measure the overall impact and productivity of a researcher. 4. Altmetrics: Alternative metrics that take into account social media mentions, downloads, and other non-traditional indicators of research impact, altmetrics provide a more diverse and comprehensive view of research impact. 5. Collaboration metrics: Metrics that evaluate the extent to which researchers collaborate with others in their field, collaboration metrics can include co-authorship networks, interdisciplinary collaborations, and institutional partnerships. Overall, research area metrics are important tools for assessing the quality, impact, and reach of research outputs, and can help researchers, institutions, and funding agencies make informed decisions about research priorities and strategies.