Gregory Rice

1.3k citations
44 papers · 709 · h-index 14

Impact in

Papers in

    • Complex Systems and Time Series Analysis 13
    • Market Dynamics and Volatility 11
    • Spatial and Panel Data Analysis 3
    • Financial Risk and Volatility Modeling 22

Gregory Rice

40 papers receiving 696 citations

Peers

Gregory Rice
Comparison fields: 5 of 90
  • Statistics and Probability 286
  • Finance 301
  • Economics and Econometrics 334
  • General Economics, Econometrics and Finance 98
  • Statistics, Probability and Uncertainty 50
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Citations per year

Countries citing papers authored by Gregory Rice

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory Rice. 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 Gregory Rice. The network helps show where Gregory Rice may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory Rice, 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 Gregory Rice Line = papers co-authored together Gregory Rice links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013138
2 201482
3 201767
4 201244
5 201637
6 201734
7 201328
8 202027
9 201523
10 201517
11 201616
12 202016
13 201415
14 202014
15 201413
16 202013
17
Addressing barriers to perinatal care: a case study of the Access to Maternity Care Committee in Washington State.
199112
18 202411
19 201911
20 202111

About Gregory Rice

Gregory Rice is a scholar working on Economics and Econometrics, Finance, Statistics and Probability, General Economics, Econometrics and Finance and Molecular Biology, having authored 44 papers that have together received 709 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (22 papers), Statistical Methods and Inference (16 papers), Complex Systems and Time Series Analysis (13 papers), Monetary Policy and Economic Impact (11 papers), Market Dynamics and Volatility (11 papers), Advanced Statistical Methods and Models (7 papers), Bayesian Methods and Mixture Models (3 papers) and Spatial and Panel Data Analysis (3 papers). The work is most often cited by research in Statistics and Probability (286 citations), Finance (301 citations), Economics and Econometrics (334 citations), General Economics, Econometrics and Finance (98 citations) and Statistics, Probability and Uncertainty (50 citations). Gregory Rice has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lajos Horváth, Piotr Kokoszka, Alexander Aue, I. Berkés, Yuqian Zhao, Marie Hušková, Tony S. Wirjanto, Han Lin Shang, Zhenya Liu and Chi Zhang. Their work appears in journals such as Journal of Multivariate Analysis, Journal of Time Series Analysis, Journal of Econometrics, Computational Statistics & Data Analysis and Test.

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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