Conor Daly

411 total citations
10 papers, 280 citations indexed

About

Conor Daly is a scholar working on Computational Mechanics, Aerospace Engineering and Ecology. According to data from OpenAlex, Conor Daly has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 4 papers in Aerospace Engineering and 2 papers in Ecology. Recurrent topics in Conor Daly's work include Fluid Dynamics and Turbulent Flows (5 papers), Aerodynamics and Acoustics in Jet Flows (4 papers) and Plant Water Relations and Carbon Dynamics (2 papers). Conor Daly is often cited by papers focused on Fluid Dynamics and Turbulent Flows (5 papers), Aerodynamics and Acoustics in Jet Flows (4 papers) and Plant Water Relations and Carbon Dynamics (2 papers). Conor Daly collaborates with scholars based in United Kingdom, United States and Switzerland. Conor Daly's co-authors include N. Peake, Stewart Glegg, William J. Devenport, Justin Jaworski, Ian Clark, William N. Alexander, Gordon MacGregor, Jaime Rubin, Philipp Schlatter and Tobias M. Schneider and has published in prestigious journals such as Journal of Fluid Mechanics, AIAA Journal and Journal of Sound and Vibration.

In The Last Decade

Conor Daly

10 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Conor Daly United Kingdom	7	167	109	89	75	65	10	280
Carsten Westergaard United States	8	103 0.6×	131 1.2×	52 0.6×	77 1.0×	16 0.2×	32	261
Giacomo Busco United States	7	138 0.8×	157 1.4×	27 0.3×	15 0.2×	130 2.0×	12	307
Carlos Schuler United States	11	76 0.5×	273 2.5×	31 0.3×	64 0.9×	30 0.5×	19	399
Solkeun Jee South Korea	12	173 1.0×	289 2.7×	63 0.7×	42 0.6×	19 0.3×	44	361
Guido Troiani Italy	15	120 0.7×	422 3.9×	54 0.6×	23 0.3×	5 0.1×	32	470
D. I. Greenwell United Kingdom	14	330 2.0×	310 2.8×	70 0.8×	16 0.2×	6 0.1×	34	421
Juan Uribe United Kingdom	9	186 1.1×	324 3.0×	131 1.5×	19 0.3×	5 0.1×	22	402
A. Smolyakov Russia	8	171 1.0×	174 1.6×	148 1.7×	48 0.6×	2 0.0×	24	267
Andreas Fischer Denmark	11	288 1.7×	140 1.3×	192 2.2×	106 1.4×		45	341
Clara M. Velte Denmark	12	330 2.0×	346 3.2×	61 0.7×	12 0.2×	13 0.2×	50	439

Countries citing papers authored by Conor Daly

Since Specialization

Citations

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

Fields of papers citing papers by Conor Daly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conor Daly. 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 Conor Daly. The network helps show where Conor Daly may publish in the future.

Co-authorship network of co-authors of Conor Daly

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Santo, Niccolò Dal, et al.. (2023). Improving CFD Simulations by Local Machine-Learned Corrections. 1 indexed citations

2.

Daly, Conor, et al.. (2023). Elexacaftor/tezacaftor/ivacaftor projected survival and long-term health outcomes in people with cystic fibrosis homozygous for F508del. Journal of Cystic Fibrosis. 22(4). 607–614. 69 indexed citations

3.

Kirschner, David, et al.. (2019). Detecting P- and S-wave arrivals with a recurrent neural network. 2659–2662. 7 indexed citations

4.

Daly, Conor. (2018). Kokesh v. Sec: The Supreme Court Redefines an Effective Securities Enforcement Tool. 77. 51. 1 indexed citations

5.

Clark, Ian, Conor Daly, William J. Devenport, et al.. (2016). Bio-inspired canopies for the reduction of roughness noise. Journal of Sound and Vibration. 385. 33–54. 44 indexed citations

6.

Clark, Ian, William N. Alexander, William J. Devenport, et al.. (2016). Bioinspired Trailing-Edge Noise Control. AIAA Journal. 55(3). 740–754. 84 indexed citations

7.

Clark, Ian, William N. Alexander, William J. Devenport, et al.. (2015). Bio-Inspired Trailing Edge Noise Control. 25 indexed citations

8.

Daly, Conor & N. Peake. (2015). Non-modal instability of annular Poiseuille–Couette flow. European Journal of Mechanics - B/Fluids. 53. 148–159. 2 indexed citations

9.

Daly, Conor, Tobias M. Schneider, Philipp Schlatter, & N. Peake. (2014). Secondary instability and tertiary states in rotating plane Couette flow. Journal of Fluid Mechanics. 761. 27–61. 11 indexed citations

10.

Clark, Ian, William J. Devenport, Justin Jaworski, et al.. (2014). The Noise Generating and Suppressing Characteristics of Bio-Inspired Rough Surfaces. 36 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.

Explore authors with similar magnitude of impact