M. McGuire

878 total citations
26 papers, 600 citations indexed

About

M. McGuire is a scholar working on Electrical and Electronic Engineering, Signal Processing and Atmospheric Science. According to data from OpenAlex, M. McGuire has authored 26 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 8 papers in Signal Processing and 8 papers in Atmospheric Science. Recurrent topics in M. McGuire's work include Indoor and Outdoor Localization Technologies (10 papers), Speech and Audio Processing (8 papers) and Atmospheric chemistry and aerosols (8 papers). M. McGuire is often cited by papers focused on Indoor and Outdoor Localization Technologies (10 papers), Speech and Audio Processing (8 papers) and Atmospheric chemistry and aerosols (8 papers). M. McGuire collaborates with scholars based in Canada, United States and Switzerland. M. McGuire's co-authors include Konstantinos N. Plataniotis, A.N. Venetsanopoulos, Greg J. Evans, Jay G. Slowik, Jonathan P. D. Abbatt, Cheol–Heon Jeong, A. Vlasenko, Rachel Chang, Peter Rehbein and Shao‐Meng Li and has published in prestigious journals such as Atmospheric chemistry and physics, AIChE Journal and IEEE Transactions on Vehicular Technology.

In The Last Decade

M. McGuire

25 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. McGuire Canada 11 303 268 236 115 111 26 600
Scott Beaver United States 8 145 0.5× 91 0.3× 186 0.8× 85 0.7× 93 0.8× 13 442
Haitao Zhou China 14 55 0.2× 104 0.4× 244 1.0× 26 0.2× 52 0.5× 36 619
Jairo Panetta Brazil 11 181 0.6× 54 0.2× 37 0.2× 174 1.5× 141 1.3× 45 487
Soon-Young Park South Korea 12 213 0.7× 123 0.5× 26 0.1× 137 1.2× 8 0.1× 61 443
Shu Li China 12 49 0.2× 19 0.1× 47 0.2× 40 0.3× 141 1.3× 47 433
Michael Mueller Germany 9 91 0.3× 173 0.6× 64 0.3× 36 0.3× 45 0.4× 25 480
Lei Yu China 12 13 0.0× 59 0.2× 89 0.4× 27 0.2× 56 0.5× 79 460
Mirela Damian United States 10 250 0.8× 100 0.4× 18 0.1× 145 1.3× 83 0.7× 38 480

Countries citing papers authored by M. McGuire

Since Specialization
Citations

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

Fields of papers citing papers by M. McGuire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. McGuire

This figure shows the co-authorship network connecting the top 25 collaborators of M. McGuire. A scholar is included among the top collaborators of M. McGuire 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 M. McGuire. M. McGuire 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.
Meador, William E., Cameron Smith, M. McGuire, et al.. (2023). Near‐Infrared Emissive Indolizine Squaraine Fluorophores as Strong Molecular Viscosity Sensors. ChemPhotoChem. 8(5). 4 indexed citations
2.
McGuire, M., Rachel Chang, Jay G. Slowik, et al.. (2014). Enhancing non-refractory aerosol apportionment from an urban industrial site through receptor modeling of complete high time-resolution aerosol mass spectra. Atmospheric chemistry and physics. 14(15). 8017–8042. 19 indexed citations
3.
Stroud, Craig, Michael D. Moran, Paul A. Makar, et al.. (2012). Evaluation of chemical transport model predictions of primary organic aerosol for air masses classified by particle component-based factor analysis. Atmospheric chemistry and physics. 12(18). 8297–8321. 11 indexed citations
4.
McGuire, M., Cheol–Heon Jeong, Jay G. Slowik, et al.. (2011). Elucidating determinants of aerosol composition through particle-type-based receptor modeling. Atmospheric chemistry and physics. 11(15). 8133–8155. 28 indexed citations
5.
Jeong, Cheol–Heon, M. McGuire, Krystal J. Godri Pollitt, et al.. (2011). Quantification of aerosol chemical composition using continuous single particle measurements. Atmospheric chemistry and physics. 11(14). 7027–7044. 58 indexed citations
6.
Slowik, Jay G., Jeffrey R. Brook, Rachel Chang, et al.. (2011). Photochemical processing of organic aerosol at nearby continental sites: contrast between urban plumes and regional aerosol. Atmospheric chemistry and physics. 11(6). 2991–3006. 50 indexed citations
7.
McGuire, M., et al.. (2011). Lower bounds on mobile terminal localisation in an urban area. IET Communications. 5(9). 1182–1191. 3 indexed citations
8.
Jeong, Cheol–Heon, Greg J. Evans, M. McGuire, et al.. (2010). Particle formation and growth at five rural and urban sites. Atmospheric chemistry and physics. 10(16). 7979–7995. 79 indexed citations
9.
Slowik, Jay G., A. Vlasenko, M. McGuire, Greg J. Evans, & Jonathan P. D. Abbatt. (2010). Simultaneous factor analysis of organic particle and gas mass spectra: AMS and PTR-MS measurements at an urban site. Atmospheric chemistry and physics. 10(4). 1969–1988. 73 indexed citations
10.
Slowik, Jay G., A. Vlasenko, M. McGuire, Greg J. Evans, & Jonathan P. D. Abbatt. (2009). Simultaneous factor analysis of organic particle and gas mass spectra: AMS and PTR-MS measurements at an urban site. 4 indexed citations
11.
McGuire, M. & Konstantinos N. Plataniotis. (2003). Dynamic model-based filtering for mobile terminal location estimation. IEEE Transactions on Vehicular Technology. 52(4). 1012–1031. 26 indexed citations
12.
McGuire, M. & Konstantinos N. Plataniotis. (2003). A multi-model filter for mobile terminal location tracking. 2. 1197–1201. 4 indexed citations
13.
McGuire, M., Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2003). Environment and Movement Model for Mobile Terminal Location Tracking. Wireless Personal Communications. 24(4). 483–505. 1 indexed citations
14.
McGuire, M., Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2003). Location of mobile terminals using time measurements and survey points. IEEE Transactions on Vehicular Technology. 52(4). 999–1011. 94 indexed citations
15.
McGuire, M., Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2002). Estimating position of mobile terminals from path loss measurements with survey data. Wireless Communications and Mobile Computing. 3(1). 51–62. 16 indexed citations
16.
McGuire, M., Konstantinos N. Plataniotis, & A.N. Venetsanopoulos. (2000). Robust estimation of mobile terminal position. Electronics Letters. 36(16). 1426–1428. 10 indexed citations
17.
West, Harry & M. McGuire. (1970). Dynamic programming approach to optimal feedback-feed-forward controller design. Journal of Engineering Mathematics. 4(3). 187–193. 1 indexed citations
18.
West, Harry & M. McGuire. (1969). Optimal Feedforward-Feedback Control of Dead Time Systems. Industrial & Engineering Chemistry Fundamentals. 8(2). 253–257. 2 indexed citations
19.
Luecke, Richard H. & M. McGuire. (1968). Dynamic optimization with constraints from wiener's techniques. AIChE Journal. 14(1). 173–180. 2 indexed citations
20.
Luecke, Richard H. & M. McGuire. (1965). Chemical reactor stability by Liapunov's direct method. AIChE Journal. 11(4). 749–763. 10 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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