John A. Quinn

4.2k total citations
108 papers, 2.8k citations indexed

About

John A. Quinn is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, John A. Quinn has authored 108 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 14 papers in Mechanical Engineering and 12 papers in Computational Mechanics. Recurrent topics in John A. Quinn's work include Advancements in Transdermal Drug Delivery (9 papers), Membrane Separation and Gas Transport (7 papers) and Smart Agriculture and AI (6 papers). John A. Quinn is often cited by papers focused on Advancements in Transdermal Drug Delivery (9 papers), Membrane Separation and Gas Transport (7 papers) and Smart Agriculture and AI (6 papers). John A. Quinn collaborates with scholars based in United States, Uganda and United Kingdom. John A. Quinn's co-authors include John L. Anderson, Peter Staffeld, N.C. Otto, Jorge López, Douglas R. Smith, James Anderson, Neil McIntosh, Howard Goldfine, Douglas A. Lauffenburger and Stephen L. Matson and has published in prestigious journals such as Nature, Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

John A. Quinn

104 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Quinn United States 30 987 509 276 268 239 108 2.8k
Santosh K. Gupta India 33 876 0.9× 857 1.7× 213 0.8× 309 1.2× 259 1.1× 259 4.4k
Theodoros E. Karakasidis Greece 30 979 1.0× 353 0.7× 439 1.6× 147 0.5× 247 1.0× 141 2.6k
Rutherford Aris United States 31 851 0.9× 848 1.7× 981 3.6× 207 0.8× 371 1.6× 125 5.2k
H. Luther Germany 15 558 0.6× 606 1.2× 596 2.2× 92 0.3× 272 1.1× 42 3.4k
Osamu Watanabe Japan 31 701 0.7× 433 0.9× 175 0.6× 74 0.3× 719 3.0× 392 3.7k
Brice Carnahan United States 8 557 0.6× 675 1.3× 575 2.1× 93 0.3× 269 1.1× 19 2.9k
James Wilkes United States 15 842 0.9× 879 1.7× 978 3.5× 112 0.4× 288 1.2× 45 3.4k
Robert Hooke United States 12 295 0.3× 531 1.0× 219 0.8× 139 0.5× 501 2.1× 39 4.5k
Yuying Li China 19 471 0.5× 381 0.7× 344 1.2× 238 0.9× 593 2.5× 101 4.7k
K. G. Denbigh United Kingdom 22 627 0.6× 340 0.7× 211 0.8× 53 0.2× 113 0.5× 42 2.4k

Countries citing papers authored by John A. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by John A. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Quinn. 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 John A. Quinn. The network helps show where John A. Quinn may publish in the future.

Co-authorship network of co-authors of John A. Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Quinn. A scholar is included among the top collaborators of John A. Quinn 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 John A. Quinn. John A. Quinn 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.
Kamper, Herman, et al.. (2021). Feature learning for efficient ASR-free keyword spotting in low-resource languages. Computer Speech & Language. 71. 101275–101275. 12 indexed citations
2.
Zufiria, Pedro J., David Pastor-Escuredo, Alfredo J. Morales, et al.. (2018). Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security. PLoS ONE. 13(4). e0195714–e0195714. 23 indexed citations
3.
Munabi, Ian G., William Buwembo, Francis Bajunirwe, et al.. (2015). Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey. BMC Research Notes. 8(1). 54–54. 1 indexed citations
4.
Booysen, M.J., et al.. (2014). An adaptive transportation prediction model for the informal public transport sector in Africa. SUNScholar (Stellenbosch University). 2572–2577. 9 indexed citations
5.
Quinn, John A., et al.. (2010). Traffic Flow Monitoring in Crowded Cities.. National Conference on Artificial Intelligence. 9 indexed citations
6.
Mwebaze, Ernest, et al.. (2010). Causal Structure Learning for Famine Prediction. National Conference on Artificial Intelligence. 7 indexed citations
7.
Mwebaze, Ernest, et al.. (2010). Automated Vision-Based Diagnosis of Cassava Mosaic Disease.. 114–122. 19 indexed citations
8.
Eagle, Nathan, Aaron Clauset, & John A. Quinn. (2009). Location Segmentation, Inference and Prediction for Anticipatory Computing.. National Conference on Artificial Intelligence. 20–25. 19 indexed citations
9.
Quinn, John A., Christopher K. I. Williams, & Neil McIntosh. (2008). Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(9). 1537–1551. 63 indexed citations
10.
Capocasale, Renold J., Nicole Stowell, John A. Quinn, et al.. (2008). Myelodysplasia and anemia of chronic disease in human tumor necrosis factor‐α transgenic mice. Cytometry Part A. 73A(2). 148–159. 11 indexed citations
11.
Fox, Charles W. & John A. Quinn. (2007). HOW TO BE LOST: PRINCIPLED PRIMING AND PRUNING WITH PARTICLES IN SCORE FOLLOWING. The Journal of the Abraham Lincoln Association. 2007. 1 indexed citations
12.
13.
Williams, Christopher K. I., John A. Quinn, & Neil McIntosh. (2005). Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. ERA. 18. 1513–1520. 15 indexed citations
14.
Law, Anna S., Yvonne Freer, Jim Hunter, et al.. (2005). A Comparison of Graphical and Textual Presentations of Time Series Data to Support Medical Decision Making in the Neonatal Intensive Care Unit. Journal of Clinical Monitoring and Computing. 19(3). 183–194. 70 indexed citations
15.
16.
Neufeld, Gordon R., et al.. (1988). Skin blood flow from gas transport: Helium xenon and laser Doppler compared. Microvascular Research. 35(2). 143–152. 9 indexed citations
17.
Graves, David J., et al.. (1973). Bubble formation resulting from counterdiffusion supersaturation: a possible explanation for isobaric inert gas 'urticaria' and vertigo. Physics in Medicine and Biology. 18(2). 256–264. 9 indexed citations
18.
Anderson, James & John A. Quinn. (1970). Bubble columns: flow transitions in the presence of trace contaminants. Chemical Engineering Science. 25(3). 373–380. 35 indexed citations
19.
Quinn, John A., et al.. (1968). Measurement of Small Density Differences: Solutions of Slightly Soluble Gases. Review of Scientific Instruments. 39(1). 75–77. 13 indexed citations
20.
Quinn, John A., et al.. (1966). The effect of monomolecular films on the rate of gas absorption into a quiescent liquid. AIChE Journal. 12(5). 894–902. 62 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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