Ralph D. Snyder

52 papers receiving 3.2k citations

Hit Papers

A state space framework for automatic forecasting using e...2002202620102018200220112008200400600

Peers

Ralph D. Snyder
Comparison fields: 5 of 149
  • Management Science and Operations Research 2.0k
  • Electrical and Electronic Engineering 798
  • Economics and Econometrics 550
  • Signal Processing 389
  • Artificial Intelligence 386
Replace Michèle Hibon with:
Michèle Hibon France
Vassilios Assimakopoulos Greece
Everette S. Gardner United States
Fotios Petropoulos United Kingdom
Nikolaos Kourentzes United Kingdom
Charles C. Holt United States
George Athanasopoulos Greece
Evangelos Spiliotis Greece
G. E. P. Box United States
B. Eddy Patuwo United States
Ralph D. Snyder relative to Michèle Hibon France Michèle Hibon's profile →
Citations per field
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Michèle Hibon · 1×
Citations per year

Countries citing papers authored by Ralph D. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by Ralph D. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph D. Snyder. 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 Ralph D. Snyder. The network helps show where Ralph D. Snyder may publish in the future.

Co-authorship network of co-authors of Ralph D. Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph D. Snyder. A scholar is included among the top collaborators of Ralph D. Snyder 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 Ralph D. Snyder. Ralph D. Snyder 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
Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothingbreakdown →
683
2 25
3 83
4 7
5 4
6
Forecasting with Exponential Smoothing: The State Space Approachbreakdown →
576
7 4
8 193
9 83
10 42
11
A state space framework for automatic forecasting using exponential smoothing methodsbreakdown →
718
12 72
13 16
14 13
15 20
16 1
17 7
18 1
19 10
20 40

About Ralph D. Snyder

Ralph D. Snyder is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 55 papers that have together received 3.4k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (27 papers), Financial Risk and Volatility Modeling (10 papers) and Monetary Policy and Economic Impact (9 papers). The work is most often cited by research in Management Science and Operations Research (2.0k citations), Statistics, Probability and Uncertainty (321 citations) and Management Information Systems (325 citations). Ralph D. Snyder has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rob J. Hyndman, Anne B. Koehler, J. Keith Ord, Alysha De Livera, Simone D. Grose, Maxwell L. King, Baki Billah, James W. Taylor, William T. M. Dunsmuir and Keith Ord. Their work appears in journals such as Journal of the American Statistical Association, Management Science and European Journal of Operational 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.

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