Michael O’Neill

414 total citations
13 papers, 305 citations indexed

About

Michael O’Neill is a scholar working on Molecular Biology, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Michael O’Neill has authored 13 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Numerical Analysis and 4 papers in Computational Mechanics. Recurrent topics in Michael O’Neill's work include Sparse and Compressive Sensing Techniques (4 papers), Advanced Optimization Algorithms Research (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). Michael O’Neill is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Advanced Optimization Algorithms Research (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). Michael O’Neill collaborates with scholars based in United States and United Kingdom. Michael O’Neill's co-authors include Takeaki Taniguchi, Benoît De Crombrugghe, Richard C. Strohman, Stephen J. Wright, Sabine J. Rundle, Andrew J. Hartung, Frank E. Curtis, Daniel P. Robinson, Claire Domoney and Tracey Welham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Cellular Physiology and Plant Molecular Biology.

In The Last Decade

Michael O’Neill

13 papers receiving 274 citations

Peers

Michael O’Neill
А. В. Селиверстов Russia
Susanne Toepfer Germany
Oliver Serang United States
Toni Kazic United States
Alexander Georgiev Sweden
Edward J. Hancock Australia
Yiannis Kourmpetis Netherlands
Pavel P. Kuksa United States
Oliver Purcell United States
Anastasiya Belyaeva United States
А. В. Селиверстов Russia
Michael O’Neill
Citations per year, relative to Michael O’Neill Michael O’Neill (= 1×) peers А. В. Селиверстов

Countries citing papers authored by Michael O’Neill

Since Specialization
Citations

This map shows the geographic impact of Michael 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 Michael 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 Michael O’Neill more than expected).

Fields of papers citing papers by Michael O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael O’Neill

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

All Works

13 of 13 papers shown
1.
Berahas, Albert S., Frank E. Curtis, Michael O’Neill, & Daniel P. Robinson. (2023). A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear-Equality-Constrained Optimization with Rank-Deficient Jacobians. Mathematics of Operations Research. 49(4). 2212–2248. 8 indexed citations
2.
Curtis, Frank E., Michael O’Neill, & Daniel P. Robinson. (2023). Worst-case complexity of an SQP method for nonlinear equality constrained stochastic optimization. Mathematical Programming. 205(1-2). 431–483. 16 indexed citations
3.
O’Neill, Michael & Stephen J. Wright. (2020). A log-barrier Newton-CG method for bound constrained optimization with complexity guarantees. IMA Journal of Numerical Analysis. 41(1). 84–121. 12 indexed citations
4.
O’Neill, Michael & Stephen J. Wright. (2018). Behavior of accelerated gradient methods near critical points of nonconvex functions. Mathematical Programming. 176(1-2). 403–427. 12 indexed citations
5.
O’Neill, Michael. (2013). Democratizing Flow Cytometry. Genetic Engineering & Biotechnology News. 33(6). 12, 14–15. 1 indexed citations
6.
Jackson, Mark, et al.. (2003). Equal pay for equal work in accounting?: an analysis of gender differences in accountants' remuneration. RMIT Research Repository (RMIT University Library). 16(1). 33–47. 4 indexed citations
7.
O’Neill, Michael, et al.. (2003). An Always Convergent Method for finding the Spectral Radius of a Non-Negative Matrix.. 1 indexed citations
8.
O’Neill, Michael, et al.. (2002). Using The Spectral Radius to Determine whether a Leontief System Has a Unique Positive Solution. Asia Pacific Journal of Operational Research. 19(2). 233–247. 4 indexed citations
9.
Welham, Tracey, et al.. (1998). Expression patterns of genes encoding seed trypsin inhibitors in Pisum sativum. Plant Science. 131(1). 13–24. 23 indexed citations
10.
Rundle, Sabine J., et al.. (1995). Characterization of a cDNA encoding the 55 kDa B regulatory subunit of Arabidopsis protein phosphatase 2A. Plant Molecular Biology. 28(2). 257–266. 26 indexed citations
11.
O’Neill, Michael. (1986). Some Limitations of Calculator or Computer.. ˜The œAustralian mathematics teacher. 42(1). 19–21. 1 indexed citations
12.
Taniguchi, Takeaki, Michael O’Neill, & Benoît De Crombrugghe. (1979). Interaction site of Escherichia coli cyclic AMP receptor protein on DNA of galactose operon promoters.. Proceedings of the National Academy of Sciences. 76(10). 5090–5094. 132 indexed citations
13.
O’Neill, Michael & Richard C. Strohman. (1969). Changes in DNA polymerase activity associated with cell fusion in cultures of embryonic muscle. Journal of Cellular Physiology. 73(1). 61–68. 65 indexed citations

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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