Bibliometric Analysis
3 researchers across 1 institution
Bibliometric analysis employs quantitative methods to study scholarly literature. Researchers in this area analyze patterns in publications, citations, and research collaborations to understand the evolution of scientific fields, identify emerging trends, and assess research impact. This work involves developing and applying statistical techniques to large datasets of academic papers, patents, and other scholarly outputs. Key areas of investigation include mapping scientific landscapes, evaluating the productivity and influence of researchers and institutions, and understanding the dynamics of knowledge creation and dissemination.
This research has direct relevance to Arkansas by informing strategic investments in its growing research and development sectors. Understanding citation patterns and research collaborations can help identify areas where Arkansas institutions are making significant contributions or where opportunities for growth exist, potentially aligning with the state's economic development goals in areas like advanced manufacturing, agriculture, and biotechnology. Analyzing the scholarly output related to public health challenges or environmental science can also provide insights valuable for state agencies and policymakers.
Scholars in bibliometric analysis collaborate with experts in information science, meta-analysis, health and medical research, and higher education studies. This interdisciplinary approach allows for a comprehensive understanding of research ecosystems and their broader societal impacts.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Lutishoor Salisbury | University of Arkansas | 7 | 193 | ||
| Jeremy J. Smith | University of Arkansas | 6 | 145 | ||
| Zayuris Atencio Mojica | University of Arkansas | 1 | 275 |