Matthew A. Stott

828 total citations
33 papers, 578 citations indexed

About

Matthew A. Stott is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Matthew A. Stott has authored 33 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 12 papers in Electrical and Electronic Engineering and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Matthew A. Stott's work include Photonic and Optical Devices (10 papers), Biosensors and Analytical Detection (9 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Matthew A. Stott is often cited by papers focused on Photonic and Optical Devices (10 papers), Biosensors and Analytical Detection (9 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Matthew A. Stott collaborates with scholars based in United States and United Kingdom. Matthew A. Stott's co-authors include Aaron R. Hawkins, Holger Schmidt, Thomas A. Wall, Hong Cai, Joshua W. Parks, Joseph W. Parks, Richard A. Mathies, Anthony Griffiths, Kendra J. Alfson and Jean L. Patterson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Matthew A. Stott

32 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew A. Stott United States 14 427 179 159 101 47 33 578
Matthew Mancuso United States 7 475 1.1× 116 0.6× 294 1.8× 99 1.0× 21 0.4× 10 602
Thomas A. Wall United States 9 254 0.6× 139 0.8× 108 0.7× 66 0.7× 30 0.6× 14 380
İsa Navruz Türkiye 11 367 0.9× 192 1.1× 252 1.6× 103 1.0× 39 0.8× 23 606
В. И. Кукушкин Russia 13 357 0.8× 53 0.3× 276 1.7× 158 1.6× 73 1.6× 51 525
Seungri Song South Korea 8 323 0.8× 95 0.5× 260 1.6× 83 0.8× 22 0.5× 14 521
Aurel Ymeti Netherlands 11 288 0.7× 328 1.8× 189 1.2× 37 0.4× 20 0.4× 16 564
Lindsay A. Legendre United States 7 817 1.9× 142 0.8× 223 1.4× 38 0.4× 14 0.3× 13 914
Jesús Maldonado Mexico 8 163 0.4× 130 0.7× 156 1.0× 30 0.3× 9 0.2× 16 321
Huachuan Huang China 10 262 0.6× 80 0.4× 207 1.3× 46 0.5× 25 0.5× 27 438
Karan Syal United States 8 241 0.6× 31 0.2× 148 0.9× 60 0.6× 70 1.5× 9 478

Countries citing papers authored by Matthew A. Stott

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Stott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Stott

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Stott. A scholar is included among the top collaborators of Matthew A. Stott 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 Matthew A. Stott. Matthew A. Stott 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.
Stott, Matthew A., et al.. (2023). Machine learning at the edge for AI-enabled multiplexed pathogen detection. Scientific Reports. 13(1). 4744–4744. 13 indexed citations
2.
Wall, Thomas A., et al.. (2022). Fast custom wavelet analysis technique for single molecule detection and identification. Nature Communications. 13(1). 1035–1035. 15 indexed citations
3.
Yuzvinsky, Thomas D., et al.. (2021). Optical trapping assisted label-free and amplification-free detection of SARS-CoV-2 RNAs with an optofluidic nanopore sensor. Biosensors and Bioelectronics. 194. 113588–113588. 25 indexed citations
4.
Parks, Joshua W., et al.. (2021). Optofluidic multiplex detection of single SARS-CoV-2 and influenza A antigens using a novel bright fluorescent probe assay. Proceedings of the National Academy of Sciences. 118(20). 34 indexed citations
5.
Stott, Matthew A., Manasi Tamhankar, Ricardo Carrion, et al.. (2020). Optofluidic Amplification-Free Multiplex Detection of Viral Hemorrhagic Fevers. IEEE Journal of Selected Topics in Quantum Electronics. 27(4). 1–6. 6 indexed citations
6.
Wall, Thomas A., et al.. (2020). 7X multiplexed, optofluidic detection of nucleic acids for antibiotic-resistance bacterial screening. Optics Express. 28(22). 33019–33019. 13 indexed citations
7.
Stott, Matthew A., et al.. (2019). Single Particle Detection Enhancement with Wavelet-based Signal Processing Technique. Conference on Lasers and Electro-Optics. STu3H.4–STu3H.4. 3 indexed citations
8.
Stott, Matthew A., et al.. (2019). Optical trapping assisted detection rate enhancement of single molecules on a nanopore optofluidic chip. Optica. 6(9). 1130–1130. 12 indexed citations
9.
Stott, Matthew A., Laura Lancaster, Thomas D. Yuzvinsky, et al.. (2019). On demand delivery and analysis of single molecules on a programmable nanopore-optofluidic device. Nature Communications. 10(1). 3712–3712. 22 indexed citations
10.
Stott, Matthew A., et al.. (2018). Buried Rib SiO2 Multimode Interference Waveguides for Optofluidic Multiplexing. IEEE Photonics Technology Letters. 30(16). 1487–1490. 2 indexed citations
11.
Stott, Matthew A., et al.. (2018). Optimized ARROW-Based MMI Waveguides for High Fidelity Excitation Patterns for Optofluidic Multiplexing. IEEE Journal of Quantum Electronics. 54(3). 1–7. 8 indexed citations
12.
Parks, Joshua W., et al.. (2018). Optofluidic detection of Zika nucleic acid and protein biomarkers using multimode interference multiplexing. Biomedical Optics Express. 9(8). 3725–3725. 25 indexed citations
13.
Du, Ke, Hong Cai, Thomas A. Wall, et al.. (2017). Multiplexed efficient on-chip sample preparation and sensitive amplification-free detection of Ebola virus. Biosensors and Bioelectronics. 91. 489–496. 89 indexed citations
14.
Jain, Aadhar, et al.. (2017). Scalable Spatial-Spectral Multiplexing of Single-Virus Detection Using Multimode Interference Waveguides. Scientific Reports. 7(1). 12199–12199. 27 indexed citations
15.
Stott, Matthew A., et al.. (2017). Multimodal Multiplexing of Single-Virus Detection Using Multi-Mode Interference Waveguides. Conference on Lasers and Electro-Optics. 5. SM4C.5–SM4C.5. 1 indexed citations
16.
Stott, Matthew A., et al.. (2015). Signal-to-Noise Enhancement in Optical Detection of Single Viruses With Multispot Excitation. IEEE Journal of Selected Topics in Quantum Electronics. 22(4). 6–11. 22 indexed citations
17.
Cai, Hong, Joseph W. Parks, Thomas A. Wall, et al.. (2015). Optofluidic analysis system for amplification-free, direct detection of Ebola infection. Scientific Reports. 5(1). 14494–14494. 98 indexed citations
18.
Stott, Matthew A., et al.. (2015). Silicate Spin-on-Glass as an Overcoat Layer for SiO2 Ridge Waveguides. 14. JTh2A.29–JTh2A.29. 2 indexed citations
19.
Stott, Matthew A., et al.. (2015). Silicate overcoat layers for the improvement of PECVD SiO<inf>2</inf> optofluidic waveguides. 24. 1–4. 1 indexed citations
20.
Holmes, R & Matthew A. Stott. (1968). Analysis of multiple relaxation processes. Journal of Physics D Applied Physics. 1(5). 607–615. 4 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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