SMOG Grading - A New Readability Formula.

1.5k indexed citations

Abstract

loading...

About

This paper, published in 1969, received 1.5k indexed citations. Written by G. Harry McLaughlin covering the research area of Artificial Intelligence and Statistics, Probability and Uncertainty. It is primarily cited by scholars working on Artificial Intelligence (646 citations), General Health Professions (613 citations) and Sociology and Political Science (177 citations). Published in The Journal of Reading.

In The Last Decade

doi.org/w4133874 →

Countries where authors are citing SMOG Grading - A New Readability Formula.

Specialization
Citations

This map shows the geographic impact of SMOG Grading - A New Readability Formula.. 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 SMOG Grading - A New Readability Formula. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SMOG Grading - A New Readability Formula. more than expected).

Fields of papers citing SMOG Grading - A New Readability Formula.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of SMOG Grading - A New Readability Formula.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the SMOG Grading - A New Readability Formula..

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/w4133874.

Explore hit-papers with similar magnitude of impact

Breakdown of academic impact, for the paper Improving fluid intelligence with training on working memory Breakdown of academic impact, for the paper Methods in cell physiology Breakdown of academic impact, for the paper The scaling laws of human travel Breakdown of academic impact, for the paper Adverse effects of immune-checkpoint inhibitors: epidemiology, management and surveillance Breakdown of academic impact, for the paper Unconventional quantum Hall effect and Berry’s phase of 2π in bilayer graphene Breakdown of academic impact, for the paper Backbone dynamics of proteins as studied by nitrogen-15 inverse detected heteronuclear NMR spectroscopy: application to staphylococcal nuclease Breakdown of academic impact, for the paper SYNTHETIC ANALGESICS. II. DITHIENYLBUTENYL- AND DITHIENYLBUTYLAMINES Breakdown of academic impact, for the paper Molecular mechanisms of caspase regulation during apoptosis Breakdown of academic impact, for the paper The Bayesian brain: the role of uncertainty in neural coding and computation Breakdown of academic impact, for the paper A SOCIAL CAPITAL THEORY OF CAREER SUCCESS.
Rankless by CCL
2026