Introduction to Time Series and Forecasting
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/10.1007/b97391 →Countries where authors are citing Introduction to Time Series and Forecasting
This map shows the geographic impact of Introduction to Time Series and Forecasting. 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 Introduction to Time Series and Forecasting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Introduction to Time Series and Forecasting more than expected).
Fields of papers citing Introduction to Time Series and Forecasting
This network shows the impact of Introduction to Time Series and Forecasting. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Introduction to Time Series and Forecasting.
About Introduction to Time Series and Forecasting
This paper, published in 2002, received 2.5k indexed citations . Written by Peter J. Brockwell and Richard A. Davis covering the research area of Applied Mathematics, Economics and Econometrics and Signal Processing. It is primarily cited by scholars working on Artificial Intelligence (403 citations), Management Science and Operations Research (390 citations) and Economics and Econometrics (385 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/10.1007/b97391.