Terence J. O’Neill

129 total papers · 1.4k total citations
78 papers, 917 citations indexed

About

Terence J. O’Neill is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Terence J. O’Neill has authored 78 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. Recurrent topics in Terence J. O’Neill's work include Advanced Statistical Methods and Models (15 papers), Statistical Methods and Bayesian Inference (15 papers) and Statistical Methods and Inference (13 papers). Terence J. O’Neill is often cited by papers focused on Advanced Statistical Methods and Models (15 papers), Statistical Methods and Bayesian Inference (15 papers) and Statistical Methods and Inference (13 papers). Terence J. O’Neill collaborates with scholars based in Australia, United States and China. Terence J. O’Neill's co-authors include Adrian Gepp, Steven Stern, Bruce Vanstone, Rui Xue, Helen C. O’Neill, Michael A. Martin, Steven Roberts, Simon C. Barry, Laura C. Falzon and John VanLeeuwen and has published in prestigious journals such as Nature, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Terence J. O’Neill

75 papers receiving 858 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Terence J. O’Neill	207	184	135	99	72	78	917
Vicente Núñez‐Antón	363 1.8×	71 0.4×	27 0.2×	103 1.0×	13 0.2×	55	1.1k
Matthew S. Goldberg	66 0.3×	31 0.2×	24 0.2×	157 1.6×	10 0.1×	63	1.2k
Nicola Torelli	88 0.4×	403 2.2×	45 0.3×	171 1.7×	7 0.1×	35	1.2k
José M. Pavía	91 0.4×	63 0.3×	32 0.2×	134 1.4×	3 0.0×	142	1.2k
Keying Ye	305 1.5×	155 0.8×	11 0.1×	114 1.2×	39 0.5×	67	1.2k
Yu‐Sung Su	256 1.2×	119 0.6×	16 0.1×	203 2.1×	8 0.1×	24	1.1k
Michael Parzen	538 2.6×	127 0.7×	32 0.2×	104 1.1×	4 0.1×	36	1.0k
Giovanna Menardi	55 0.3×	414 2.3×	46 0.3×	64 0.6×	7 0.1×	24	1.0k
Halina Frydman	296 1.4×	202 1.1×	359 2.7×	183 1.8×	2 0.0×	44	1.1k
Tan Wang	26 0.1×	33 0.2×	124 0.9×	554 5.6×	15 0.2×	46	1.2k

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

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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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