Correlation theory of stationary and related random functions

556 indexed citations
published 1987
Authors
A. M. Iaglom
Journal
Springer eBooks

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doi.org/w11211639 →

Countries where authors are citing Correlation theory of stationary and related random functions

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This map shows the geographic impact of Correlation theory of stationary and related random functions. 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 Correlation theory of stationary and related random functions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Correlation theory of stationary and related random functions more than expected).

Fields of papers citing Correlation theory of stationary and related random functions

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Correlation theory of stationary and related random functions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Correlation theory of stationary and related random functions.

About Correlation theory of stationary and related random functions

This paper, published in 1987, received 556 indexed citations . Written by A. M. Iaglom. It is primarily cited by scholars working on Environmental Engineering (179 citations), Economics and Econometrics (89 citations) and Finance (77 citations). Published in Springer eBooks.

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/w11211639.

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