John A. Rice

12.3k citations
84 papers · 8.7k indexed · 4 hit papers · h-index 29
Topics
Musicology and Musical Analysis (14 papers)Statistical Methods and Inference (8 papers)Ion channel regulation and function (7 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationTechnometrics

In The Last Decade

John A. Rice

69 papers receiving 8.1k citations

Hit Papers

Mathematical Statistics and Data Analysis1989202620012013198920021991199850010001.5k2.0k

Peers

John A. Rice
Comparison fields: 5 of 221
  • Psychiatry and Mental health 2.3k
  • Statistics and Probability 1.4k
  • Artificial Intelligence 983
  • Clinical Psychology 860
  • Pharmacology 811
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John A. Rice relative to Sabine Landau United Kingdom Sabine Landau's profile →
Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by John A. Rice

Since Specialization
Citations

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

Fields of papers citing papers by John A. Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Rice

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Rice. A scholar is included among the top collaborators of John A. Rice 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 John A. Rice. John A. Rice 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 0
2
Ceramic electrical insulation for electrical coils, transformers, and magnets
0
3 1
4 0
5 42
6
The Long-term Natural History of the Weekly Symptomatic Status of Bipolar I Disorderbreakdown →
1555
7 263
8 296
9
Empirical Comparison of Travel Time Estimation Methods
7
10 77
11 484
12
A Prospective 12-Year Study of Subsyndromal and Syndromal Depressive Symptoms in Unipolar Major Depressive Disordersbreakdown →
597
13 35
14 4
15 22
16 122
17 95
18 9
19 15
20 1

About John A. Rice

John A. Rice is a scholar working on Music, Statistics and Probability and Signal Processing, having authored 84 papers that have together received 8.7k indexed citations. Recurring topics across this work include Musicology and Musical Analysis (14 papers), Statistical Methods and Inference (8 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Statistics and Probability (1.4k citations), Psychiatry and Mental health (2.3k citations) and Biological Psychiatry (338 citations). John A. Rice has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Larry Rabinowitz, B. W. Silverman, Hagop S. Akiskal, Lewis L. Judd, Jack D. Maser, Andrew C. Leon, Martin B. Keller, D. R. Fredkin, David A. Solomon and Pamela J. Schettler. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

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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