David F. Findley

1.6k citations
50 papers · 1.1k indexed · h-index 15
Topics
Forecasting Techniques and Applications (12 papers)Financial Risk and Volatility Modeling (11 papers)Monetary Policy and Economic Impact (10 papers)

In The Last Decade

David F. Findley

46 papers receiving 882 citations

Peers

David F. Findley
Comparison fields: 5 of 132
  • Economics and Econometrics 288
  • General Economics, Econometrics and Finance 275
  • Management Science and Operations Research 266
  • Finance 183
  • Statistics and Probability 165
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Citations per year

Countries citing papers authored by David F. Findley

Since Specialization
Citations

This map shows the geographic impact of David F. Findley's research. 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 David F. Findley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Findley more than expected).

Fields of papers citing papers by David F. Findley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Findley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David F. Findley. The network helps show where David F. Findley may publish in the future.

Co-authorship network of co-authors of David F. Findley

This figure shows the co-authorship network connecting the top 25 collaborators of David F. Findley. A scholar is included among the top collaborators of David F. Findley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David F. Findley. David F. Findley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 22
2 8
3 10
4 2
5
Modeling stock trading day effects under flow day-of-week effect constraints
13
6
Frequency Domain Analyses of SEATS and X-11/12-ARIMA Seasonal Adjustment Filters for Short and Moderate-Length Time Series
25
7
Some Recent Developments and Directions in Seasonal Adjustment
22
8 25
9 1
10 7
11 7
12 3
13 55
14 21
15 1
16 10
17 1
18 1
19 1
20 85

About David F. Findley

David F. Findley is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Finance, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (12 papers), Financial Risk and Volatility Modeling (11 papers) and Monetary Policy and Economic Impact (10 papers). The work is most often cited by research in General Economics, Econometrics and Finance (275 citations), Management Science and Operations Research (266 citations) and Statistics and Probability (165 citations). David F. Findley has collaborated with scholars based in United States, Taiwan and Austria. Frequent co-authors include Brian C. Monsell, Mark C. Otto, William R. Bell, J. K. Ord, Chris Chatfield, Ching-Zong Wei, Kellie Wills, Tucker McElroy, Holly B. Shulman and Benedikt M. Pötscher. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.

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.

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