Terence J. O’Neill

1.4k citations
78 papers · 920 indexed · h-index 18
Topics
Statistical Methods and Bayesian Inference (15 papers)Advanced Statistical Methods and Models (15 papers)Statistical Methods and Inference (13 papers)

In The Last Decade

Terence J. O’Neill

75 papers receiving 861 citations

Peers

Terence J. O’Neill
Comparison fields: 5 of 139
  • Statistics and Probability 207
  • Artificial Intelligence 184
  • Accounting 136
  • Economics and Econometrics 99
  • Small Animals 73
Replace Richard Goldstein with:
Richard Goldstein United States
Pulak Ghosh India
E. J. Snell United Kingdom
Robert D. Anderson Australia
Kamran Abbas Pakistan
Yu‐Sung Su China
Matthew S. Goldberg United States
Stoyan V. Stoyanov United States
Daniel Freeman United States
Bryan S. Graham United States
Terence J. O’Neill relative to Richard Goldstein United States Richard Goldstein's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Terence J. O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Terence J. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terence J. O’Neill. 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 Terence J. O’Neill. The network helps show where Terence J. O’Neill may publish in the future.

Co-authorship network of co-authors of Terence J. O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Terence J. O’Neill. A scholar is included among the top collaborators of Terence J. O’Neill 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 Terence J. O’Neill. Terence J. O’Neill 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 1
2 9
3 9
4 4
5 77
6 4
7 12
8 3
9 11
10 30
11 35
12 37
13 17
14 31
15 0
16 2
17 6
18 8
19 2
20
Gamma rays of 0.3-30 MeV from PSR0833 - 45
1

About Terence J. O’Neill

Terence J. O’Neill is a scholar working on Statistics and Probability, General Decision Sciences and Accounting, having authored 78 papers that have together received 920 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (15 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Inference (13 papers). The work is most often cited by research in Statistics and Probability (207 citations), Accounting (136 citations) and Small Animals (73 citations). Terence J. O’Neill has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Adrian Gepp, Steven Stern, Rui Xue, Bruce Vanstone, Helen C. O’Neill, Michael A. Martin, Steven Roberts, Simon C. Barry, Paula Menzies and A. Mederos. Their work appears in journals such as Nature, Journal of the American Statistical Association and PLoS ONE.

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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