D. A. Sprott

2.2k citations
79 papers · 1.5k indexed · h-index 17

Impact in

Papers in

D. A. Sprott

74 papers receiving 1.2k citations

Peers

D. A. Sprott
Comparison fields: 5 of 148
  • Statistics and Probability 736
  • Statistics, Probability and Uncertainty 162
  • General Decision Sciences 29
  • Management Science and Operations Research 193
  • Cognitive Neuroscience 167
Replace J. Pfanzagl with:
J. Pfanzagl Germany
Robert H. Berk United States
Juliet Popper Shaffer United States
Timothy R. C. Read United States
John I. Marden United States
Donald Bamber United States
Gottfried E. Noether United States
Rui Paulo United States
Julio Michael Stern Brazil
Heinz Linhart South Africa
D. A. Sprott relative to J. Pfanzagl Germany J. Pfanzagl's profile →
Citations per field
00.5×4.6×
J. Pfanzagl · 1×
Citations per year

Countries citing papers authored by D. A. Sprott

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Sprott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside D. A. Sprott, 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 D. A. Sprott Line = papers co-authored together D. A. Sprott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19992
2 199316
3 19892
4 19892
5 19876
6 19866
7 198421
8 19830
9 19837
10 197815
11 19787
12 197537
13 196910
14 19696
15 19681
16 19656
17 196418
18 19626
19 195620
20 195430

About D. A. Sprott

D. A. Sprott is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Applied Mathematics and Artificial Intelligence, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (18 papers), Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (8 papers), Optimal Experimental Design Methods (8 papers), Statistical Distribution Estimation and Applications (6 papers), Bayesian Methods and Mixture Models (5 papers), graph theory and CDMA systems (5 papers) and Statistical and numerical algorithms (4 papers). The work is most often cited by research in Statistics and Probability (736 citations), Statistics, Probability and Uncertainty (162 citations), General Decision Sciences (29 citations), Management Science and Operations Research (193 citations) and Cognitive Neuroscience (167 citations). D. A. Sprott has collaborated with scholars based in Canada, Mexico and Germany. Frequent co-authors include John D. Kalbfleisch, M. P. Bryden, V. P. Godambe, Vernon T. Farewell, R. G. Stanton, David Cox, J. G. Kalbfleisch, R. Viveros, Susan M. Smith and L. S. PENROSE. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, Biometrics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Canadian Journal of Statistics.

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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