Peter Sprent

6.5k citations
59 papers · 4.7k indexed · 3 hit papers · h-index 23

Peter Sprent

56 papers receiving 4.2k citations

Hit Papers

An Introduction to Categorical Data Analysis48419942026200420154008001.2k

Peers

Peter Sprent
Comparison fields: 5 of 220
  • Statistics and Probability 558
  • Ecology 1.5k
  • Ecological Modeling 249
  • Developmental Biology 115
  • Nature and Landscape Conservation 579
Replace Walter Zucchini with:
Walter Zucchini Germany
Ross Ihaka New Zealand
Geoffrey S. Watson United States
Christian Kleiber Germany
Russell V. Lenth United States
Julian J. Faraway United States
N. I. Fisher Australia
Clifford M. Hurvich United States
David J. Groggel United States
Adrienne W. Kemp United Kingdom
Peter Sprent relative to Walter Zucchini Germany Walter Zucchini's profile →
Citations per field
00.5×1.6×
Walter Zucchini · 1×
Citations per year

Countries citing papers authored by Peter Sprent

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sprent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20097
3
An Introduction to Categorical Data Analysisbreakdown →
2007484
4 200317
5 200318
6 200315
7 19966
8 19902
9 199090
10 198835
11 1983171
12 198210
13 198063
14
Statistics in action
19776
15 19777
16 197257
17 19705
18 196812
19 19657
20 196154

About Peter Sprent

Peter Sprent is a scholar working on Statistics and Probability, Geometry and Topology, Statistics, Probability and Uncertainty, Management Science and Operations Research and Aquatic Science, having authored 59 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Morphological variations and asymmetry (3 papers), Statistical Methods and Inference (2 papers), Optimal Experimental Design Methods (2 papers), Sensory Analysis and Statistical Methods (2 papers), Statistical Methods and Bayesian Inference (1 paper), Meta-analysis and systematic reviews (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Statistics and Probability (558 citations), Ecology (1.5k citations), Ecological Modeling (249 citations), Developmental Biology (115 citations) and Nature and Landscape Conservation (579 citations). Peter Sprent has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include S. T. Buckland, Jeffrey L. Laake, Kenneth P. Burnham, David R. Anderson, Janet I. Sprent, Joseph L. Gastwirth, J. Laurie Snell, Hrishikesh D. Vinod, Nigel Smeeton and Aman Ullah. Their work appears in journals such as Biometrics, Journal of Applied Ecology, Journal of the Royal Statistical Society Series A (Statistics in Society), International Statistical Review 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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