Joseph O’Connor

475 total citations
21 papers, 335 citations indexed

About

Joseph O’Connor is a scholar working on Computational Mechanics, Ecology and Environmental Engineering. According to data from OpenAlex, Joseph O’Connor has authored 21 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 3 papers in Ecology and 3 papers in Environmental Engineering. Recurrent topics in Joseph O’Connor's work include Lattice Boltzmann Simulation Studies (11 papers), Fluid Dynamics and Vibration Analysis (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Joseph O’Connor is often cited by papers focused on Lattice Boltzmann Simulation Studies (11 papers), Fluid Dynamics and Vibration Analysis (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). Joseph O’Connor collaborates with scholars based in United Kingdom, United States and Spain. Joseph O’Connor's co-authors include Alistair Revell, Benedict D. Rogers, Adrian Harwood, Chunlin Gong, Philip J. Day, Gang Chen, Parthasarathi Mandal, John F. Seymour, Sylvain Laizet and Andrew Wynn and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Biomechanics and Computer Physics Communications.

In The Last Decade

Joseph O’Connor

19 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph O’Connor United Kingdom 11 227 68 47 44 30 21 335
Dionysios Angelidis United States 9 231 1.0× 166 2.4× 55 1.2× 19 0.4× 20 0.7× 16 386
Angelantonio Tafuni United States 13 425 1.9× 35 0.5× 40 0.9× 79 1.8× 27 0.9× 32 531
Yan Zheng China 12 241 1.1× 59 0.9× 16 0.3× 22 0.5× 26 0.9× 48 324
Iman Lashgari Sweden 12 376 1.7× 25 0.4× 26 0.6× 23 0.5× 31 1.0× 13 431
P. Lombardi Italy 5 180 0.8× 29 0.4× 33 0.7× 42 1.0× 31 1.0× 8 314
Michael Sherry Australia 8 221 1.0× 203 3.0× 17 0.4× 9 0.2× 20 0.7× 12 330
Kangping Liao China 10 328 1.4× 89 1.3× 11 0.2× 64 1.5× 41 1.4× 33 403
Leon Chan Australia 12 456 2.0× 163 2.4× 46 1.0× 31 0.7× 20 0.7× 41 552
Yuzuru Eguchi Japan 11 177 0.8× 169 2.5× 10 0.2× 12 0.3× 24 0.8× 55 332
Cathal Cummins United Kingdom 9 113 0.5× 47 0.7× 8 0.2× 47 1.1× 9 0.3× 15 238

Countries citing papers authored by Joseph O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Joseph O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph O’Connor. A scholar is included among the top collaborators of Joseph O’Connor 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 Joseph O’Connor. Joseph O’Connor 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
1.
Colquhoun, Iain, Joseph O’Connor, Michael J. Hageman, et al.. (2025). Identification of a series of pyrrolo-pyrimidine-based SARS-CoV-2 Mac1 inhibitors that repress coronavirus replication. mBio. 16(6). e0386524–e0386524.
2.
Couture, Heather D., Jeremy Freeman, Joseph O’Connor, et al.. (2024). Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning. Remote Sensing. 16(7). 1290–1290. 4 indexed citations
3.
O’Connor, Joseph, et al.. (2023). Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer. Flow Turbulence and Combustion. 110(4). 993–1021. 3 indexed citations
4.
Freeman, Jeremy, André C. Ferreira, Jeyavinoth Jeyaratnam, et al.. (2023). Inferring Carbon Dioxide Emissions From Power Plants Using Satellite Imagery and Machine Learning. 3. 4911–4914. 1 indexed citations
5.
6.
O’Connor, Joseph, Andrew Wynn, Sylvain Laizet, et al.. (2022). Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics. Frontiers in Applied Mathematics and Statistics. 8. 20 indexed citations
7.
O’Connor, Joseph & Benedict D. Rogers. (2021). A fluid–structure interaction model for free-surface flows and flexible structures using smoothed particle hydrodynamics on a GPU. Journal of Fluids and Structures. 104. 103312–103312. 84 indexed citations
8.
O’Connor, Joseph, et al.. (2021). When using a closed and automated manufacturing platform, is there an option to maintain flexibility?. Cell and Gene Therapy Insights. 7(7). 857–869. 1 indexed citations
9.
O’Connor, Joseph, José M. Domínguez, Benedict D. Rogers, Steven Lind, & Peter Stansby. (2021). Eulerian incompressible smoothed particle hydrodynamics on multiple GPUs. Computer Physics Communications. 273. 108263–108263. 17 indexed citations
10.
Gong, Chunlin, et al.. (2021). Fluid–structure interaction of a vegetation canopy in the mixing layer. Journal of Fluids and Structures. 109. 103467–103467. 10 indexed citations
11.
O’Connor, Joseph & John F. Seymour. (2019). Introducing NLP: Psychological Skills for Understanding and Influencing People. International Coaching Psychology Review. 14(1). 70–71. 9 indexed citations
12.
O’Connor, Joseph & Alistair Revell. (2019). Dynamic interactions of multiple wall-mounted flexible flaps. Journal of Fluid Mechanics. 870. 189–216. 46 indexed citations
13.
Gong, Chunlin, et al.. (2019). Passive separation control of a NACA0012 airfoil via a flexible flap. Physics of Fluids. 31(10). 46 indexed citations
14.
Cioncolini, Andrea, et al.. (2019). An Experimental and Computational Study on Inverted Flag Dynamics for Simultaneous Wind–Solar Energy Harvesting. Fluids. 4(2). 87–87. 19 indexed citations
15.
O’Connor, Joseph, et al.. (2019). Coaching the Brain. 1 indexed citations
16.
Harwood, Adrian, et al.. (2018). LUMA: A many-core, Fluid–Structure Interaction solver based on the Lattice-Boltzmann Method. SoftwareX. 7. 88–94. 15 indexed citations
17.
Revell, Alistair, Joseph O’Connor, Abhishek Sarkar, et al.. (2016). The PELskin project: part II—investigating the physical coupling between flexible filaments in an oscillating flow. Meccanica. 52(8). 1781–1795. 3 indexed citations
18.
O’Connor, Joseph, Philip J. Day, Parthasarathi Mandal, & Alistair Revell. (2016). Computational fluid dynamics in the microcirculation and microfluidics: what role can the lattice Boltzmann method play?. Integrative Biology. 8(5). 589–602. 12 indexed citations
19.
20.
O’Connor, Joseph, Alistair Revell, Parthasarathi Mandal, & Philip J. Day. (2015). Application of a lattice Boltzmann-immersed boundary method for fluid-filament dynamics and flow sensing. Journal of Biomechanics. 49(11). 2143–2151. 18 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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