Visual attention problems as a predictor of vehicle crashes in older drivers.
Impact in
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In The Last Decade
doi.org/w76867517 →Countries where authors are citing Visual attention problems as a predictor of vehicle crashes in older drivers.
This map shows the geographic impact of Visual attention problems as a predictor of vehicle crashes in older drivers.. 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 Visual attention problems as a predictor of vehicle crashes in older drivers. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Visual attention problems as a predictor of vehicle crashes in older drivers. more than expected).
Fields of papers citing Visual attention problems as a predictor of vehicle crashes in older drivers.
This network shows the impact of Visual attention problems as a predictor of vehicle crashes in older drivers.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Visual attention problems as a predictor of vehicle crashes in older drivers..
About Visual attention problems as a predictor of vehicle crashes in older drivers.
This paper, published in 1993, received 634 indexed citations . Written by Karlene Ball, Cynthia Owsley, Michael E. Sloane, Daniel L. Roenker and John Bruni covering the research area of Physical Therapy, Sports Therapy and Rehabilitation, Epidemiology and Safety, Risk, Reliability and Quality. It is primarily cited by scholars working on Physical Therapy, Sports Therapy and Rehabilitation (422 citations), Safety, Risk, Reliability and Quality (285 citations), Transportation (234 citations), Social Psychology (169 citations) and Cognitive Neuroscience (144 citations). Published in PubMed.
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/w76867517.