Ray D. Nelson

20 papers receiving 2.0k citations

Ray D. Nelson's Hit Papers

Violin Plots: A Box Plot-Density Trace Synergism 1998 · 1.3k citations
1.3k0+9+18Years since publication4008001.2k

Peers

Ray D. Nelson
Comparison fields: 5 of 200
  • Statistics and Probability 147
  • Management Science and Operations Research 206
  • Finance 111
  • Environmental Engineering 145
  • Artificial Intelligence 347
Replace William W. S. Wei with:
William W. S. Wei United States
Yulia R. Gel United States
Larry Rabinowitz United States
I. M. Chakravarti United States
Gyo Kitagawa Japan
Jay L. Devore United States
Reid A. Johnson United States
Gareth J. Janacek United Kingdom
W. Alan Nicewander United States
Scott D. Grimshaw United States
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Citations per year

Countries citing papers authored by Ray D. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Ray D. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Ray D. Nelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ray D. Nelson Line = papers co-authored together Ray D. Nelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Violin Plots: A Box Plot-Density Trace Synergism
Hit paper breakdown →
19981272
2 1998281
3 1997113
4 1999109
5 199073
6 200236
7 200326
8 200424
9 199122
10 198521
11 198920
12
State Tax Revenue Growth and Volatility
201017
13 198811
14 198511
15 199310
16 20109
17 20167
18 19862
19 19982
20
Should commercial grain farmers use futures markets to hedge against price risk
19811

About Ray D. Nelson

Ray D. Nelson is a scholar working on Finance, Management Science and Operations Research, Statistics and Probability, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (4 papers), Financial Risk and Volatility Modeling (4 papers), Advanced Statistical Methods and Models (4 papers), Neural Networks and Applications (4 papers), Fiscal Policy and Economic Growth (4 papers), Statistical Methods and Inference (3 papers), Monetary Policy and Economic Impact (3 papers) and Fiscal Policies and Political Economy (2 papers). The work is most often cited by research in Statistics and Probability (147 citations), Management Science and Operations Research (206 citations), Finance (111 citations), Environmental Engineering (145 citations) and Artificial Intelligence (347 citations). Ray D. Nelson has collaborated with scholars based in United States. Frequent co-authors include Jerry L. Hintze, James V. Hansen, James B. McDonald, Gary C. Cornia, Richard Butler, Rulon D. Pope, Robert A. Collins, Scott D. Grimshaw and Lawrence C. Walters. Their work appears in journals such as The American Statistician, American Journal of Agricultural Economics, The Review of Economics and Statistics, Neurocomputing and Journal of Statistical Computation and Simulation.

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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