D. A. Sprott

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

Impact in

Papers in

D. A. Sprott

74 papers receiving 1.2k citations

Peers

D. A. Sprott
Comparison fields: 5 of 147
  • Statistics and Probability 734
  • Statistics, Probability and Uncertainty 161
  • General Decision Sciences 30
  • Management Science and Operations Research 194
  • Cognitive Neuroscience 167
Replace J. Pfanzagl with:
J. Pfanzagl Germany
Robert H. Berk United States
Juliet Popper Shaffer United States
Donald Bamber United States
John I. Marden United States
Gottfried E. Noether United States
Rui Paulo Spain
Frank Lad New Zealand
Fortunato Pesarin Italy
Julio Michael Stern Brazil
D. A. Sprott relative to J. Pfanzagl Germany J. Pfanzagl's profile →
Citations per field
00.5×4.8×
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-authors

The 23 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

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970269
2 1981171
3 1973104
4 1972101
5 200062
6 196954
7 198049
8 195847
9 198844
10 197537
11 195430
12 198323
13 198421
14 195620
15 197019
16 196418
17 196517
18 199316
19 198115
20 195815

About D. A. Sprott

D. A. Sprott is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Artificial Intelligence and Electrical and Electronic Engineering, 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 Control Systems and Identification (4 papers). The work is most often cited by research in Statistics and Probability (734 citations), Statistics, Probability and Uncertainty (161 citations), General Decision Sciences (30 citations), Management Science and Operations Research (194 citations) and Cognitive Neuroscience (167 citations). D. A. Sprott has collaborated with scholars based in Canada, Mexico and United States. 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, L. S. PENROSE and Alexander L. Dounce. 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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