The Econometric Analysis of Time Series.
- Authors
- L. G. GodfreyAndrew Harvey
- Journal
- Economica
In The Last Decade
doi.org/10.2307/2554072 →Countries where authors are citing The Econometric Analysis of Time Series.
This map shows the geographic impact of The Econometric Analysis of Time Series.. 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 The Econometric Analysis of Time Series. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Econometric Analysis of Time Series. more than expected).
Fields of papers citing The Econometric Analysis of Time Series.
This network shows the impact of The Econometric Analysis of Time Series.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Econometric Analysis of Time Series..
About The Econometric Analysis of Time Series.
This paper, published in 1983, received 657 indexed citations . Written by L. G. Godfrey and Andrew Harvey. It is primarily cited by scholars working on Economics and Econometrics (396 citations), General Economics, Econometrics and Finance (289 citations), Finance (171 citations), Statistics and Probability (50 citations) and Management Science and Operations Research (44 citations). Published in Economica.
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/10.2307/2554072.