H. W. Peers

689 citations
11 papers · 489 indexed · h-index 7
Topics
Advanced Statistical Methods and Models (5 papers)Statistical and numerical algorithms (3 papers)Statistical Distribution Estimation and Applications (3 papers)
Partner nations
United Kingdom

In The Last Decade

H. W. Peers

11 papers receiving 416 citations

Peers

H. W. Peers
Comparison fields: 5 of 54
  • Statistics and Probability 421
  • Artificial Intelligence 125
  • Statistics, Probability and Uncertainty 83
  • Management Science and Operations Research 41
  • Finance 35
Replace Louis A. Jaeckel with:
Louis A. Jaeckel United States
Jiunn Tzon Hwang United States
Alvin Baranchik United States
J. Oosterhoff Netherlands
Pi‐Erh Lin United States
Ann F. S. Mitchell United Kingdom
Georg Neuhaus Germany
M. Safiul Haq Canada
C. B. Bell United States
Somesh Das Gupta United States
H. W. Peers relative to Louis A. Jaeckel United States Louis A. Jaeckel's profile →
Citations per field
00.5×1.5×2.0×
Louis A. Jaeckel · 1×
Citations per year

Countries citing papers authored by H. W. Peers

Since Specialization
Citations

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

Fields of papers citing papers by H. W. Peers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. W. Peers. 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 H. W. Peers. The network helps show where H. W. Peers may publish in the future.

Co-authorship network of co-authors of H. W. Peers

This figure shows the co-authorship network connecting the top 25 collaborators of H. W. Peers. A scholar is included among the top collaborators of H. W. Peers 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 H. W. Peers. H. W. Peers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 1
3 21
4 6
5 41
6 10
7 5
8 66
9 10
10 102
11 225

About H. W. Peers

H. W. Peers is a scholar working on Statistics and Probability, Applied Mathematics and Finance, having authored 11 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical and numerical algorithms (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Statistics and Probability (421 citations), Statistics, Probability and Uncertainty (83 citations) and Artificial Intelligence (125 citations). H. W. Peers has collaborated with scholars based in United Kingdom. Frequent co-authors include B. L. Welch, Peter Harris, D. N. Joanes, I. M. Chakravarti, J. R. Donnison and L. I. Pettit. Their work appears in journals such as Journal of the American Statistical Association, Monthly Notices of the Royal Astronomical Society and Biometrika.

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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