Causal Diagrams for Epidemiologic Research
Impact in
Classified as
- Journal
- Epidemiology
In The Last Decade
doi.org/10.1097/00001648-199901000-00008 →Countries where authors are citing Causal Diagrams for Epidemiologic Research
This map shows the geographic impact of Causal Diagrams for Epidemiologic Research. 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 Causal Diagrams for Epidemiologic Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Causal Diagrams for Epidemiologic Research more than expected).
Fields of papers citing Causal Diagrams for Epidemiologic Research
This network shows the impact of Causal Diagrams for Epidemiologic Research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Causal Diagrams for Epidemiologic Research.
About Causal Diagrams for Epidemiologic Research
This paper, published in 1999, received 2.7k indexed citations . Written by Sander Greenland, Judea Pearl and James M. Robins covering the research area of Statistics and Probability. It is primarily cited by scholars working on Statistics and Probability (462 citations), Health, Toxicology and Mutagenesis (280 citations), Public Health, Environmental and Occupational Health (193 citations), Economics and Econometrics (188 citations) and Epidemiology (172 citations). Published in Epidemiology.
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/10.1097/00001648-199901000-00008.