Google Trends in Infodemiology and Infoveillance: Methodology Framework
In The Last Decade
doi.org/10.2196/13439 →Countries where authors are citing Google Trends in Infodemiology and Infoveillance: Methodology Framework
This map shows the geographic impact of Google Trends in Infodemiology and Infoveillance: Methodology Framework. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Google Trends in Infodemiology and Infoveillance: Methodology Framework with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Google Trends in Infodemiology and Infoveillance: Methodology Framework more than expected).
Fields of papers citing Google Trends in Infodemiology and Infoveillance: Methodology Framework
This network shows the impact of Google Trends in Infodemiology and Infoveillance: Methodology Framework. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Google Trends in Infodemiology and Infoveillance: Methodology Framework.
About Google Trends in Infodemiology and Infoveillance: Methodology Framework
This paper, published in 2019, received 274 indexed citations . Written by Amaryllis Mavragani and Gabriela Ochoa covering the research area of Epidemiology and Health. It is primarily cited by scholars working on Epidemiology (196 citations), Sociology and Political Science (75 citations) and Modeling and Simulation (63 citations). Published in JMIR Public Health and Surveillance.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.2196/13439.