John E. McFee

1.2k total citations
90 papers, 976 citations indexed

About

John E. McFee is a scholar working on Ocean Engineering, Radiation and Geophysics. According to data from OpenAlex, John E. McFee has authored 90 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ocean Engineering, 28 papers in Radiation and 26 papers in Geophysics. Recurrent topics in John E. McFee's work include Geophysical Methods and Applications (41 papers), Nuclear Physics and Applications (27 papers) and Radiation Detection and Scintillator Technologies (23 papers). John E. McFee is often cited by papers focused on Geophysical Methods and Applications (41 papers), Nuclear Physics and Applications (27 papers) and Radiation Detection and Scintillator Technologies (23 papers). John E. McFee collaborates with scholars based in Canada, United States and United Kingdom. John E. McFee's co-authors include Y. Das, Robert H. Chesney, E. T. H. Clifford, H. Ing, H. R. Andrews, Stéphane Gagnon, Jean-Robert Simard, Pierre Mathieu, Jim Ho and G. Roy and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Physics Letters B.

In The Last Decade

John E. McFee

86 papers receiving 863 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 E. McFee Canada 18 398 296 219 208 200 90 976
Stephen Billings Canada 18 463 1.2× 730 2.5× 118 0.5× 23 0.1× 208 1.0× 73 1.2k
Derek S. Bale United States 14 110 0.3× 48 0.2× 428 2.0× 269 1.3× 63 0.3× 36 966
N. R. Hill United States 15 439 1.1× 853 2.9× 142 0.6× 17 0.1× 214 1.1× 31 1.4k
John W. Grove United States 20 143 0.4× 151 0.5× 41 0.2× 25 0.1× 41 0.2× 38 1.6k
Yan Su China 21 447 1.1× 157 0.5× 73 0.3× 18 0.1× 34 0.2× 89 1.5k
Zebing Zhou China 20 475 1.2× 210 0.7× 247 1.1× 14 0.1× 65 0.3× 136 1.3k
Lu Ting United States 18 102 0.3× 44 0.1× 258 1.2× 21 0.1× 108 0.5× 97 1.5k
Tristan van Leeuwen Netherlands 17 621 1.6× 1.2k 3.9× 34 0.2× 43 0.2× 376 1.9× 111 1.5k
W. Schott Germany 18 48 0.1× 107 0.4× 242 1.1× 125 0.6× 42 0.2× 96 1.3k
Renaud Delannay France 26 524 1.3× 131 0.4× 52 0.2× 22 0.1× 158 0.8× 71 2.2k

Countries citing papers authored by John E. McFee

Since Specialization
Citations

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

Fields of papers citing papers by John E. McFee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John E. McFee

This figure shows the co-authorship network connecting the top 25 collaborators of John E. McFee. A scholar is included among the top collaborators of John E. McFee 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 E. McFee. John E. McFee 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.
2.
Elanique, A., et al.. (2019). Characterization of CsI(Tl) and LYSO(Ce) scintillator detectors by measurements and Monte Carlo simulations. Applied Radiation and Isotopes. 154. 108878–108878. 23 indexed citations
3.
McFee, John E., et al.. (2012). Photoneutron spectroscopy using monoenergetic gamma rays for bulk explosives detection. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 704. 131–139. 10 indexed citations
4.
Simard, Jean-Robert, et al.. (2008). WIDE AREA SPECTROMETRIC BIOAEROSOL MONITORING IN CANADA: FROM SINBAHD TO BIOSENSE. International Journal of High Speed Electronics and Systems. 18(3). 493–504. 4 indexed citations
5.
McFee, John E., et al.. (2007). Real-time airborne hyperspectral imaging of land mines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6553. 655315–655315. 3 indexed citations
6.
McFee, John E., et al.. (2003). Defence R&D Canada research on nuclear methods of landmine detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5089. 1–1. 4 indexed citations
7.
McFee, John E., et al.. (1997). <title>Remote performance prediction for infrared imaging of buried mines</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3079. 762–769. 9 indexed citations
8.
Ito, M.R., et al.. (1997). <title>Pipelined algorithm and parallel architecture for real-time detection of sparse small objects in images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3163. 150–161. 1 indexed citations
9.
McFee, John E., et al.. (1997). <title>Detection of buried land mines using a CASI hyperspectral imager</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3079. 738–749. 6 indexed citations
10.
McFee, John E., et al.. (1996). Detection and Remediation Technologies for Mines and Minelike Targets. International Conference on Multimedia Information Networking and Security. 2765. 49 indexed citations
11.
McFee, John E., et al.. (1993). Estimation of Depth, Orientation, Length and Diameter of Long, Horizontal Ferrous Rods Using a Fluxgate Magnetometer. Defense Technical Information Center (DTIC). 1 indexed citations
12.
Das, Y. & John E. McFee. (1991). A simple analysis of the electromagnetic response of buried conducting objects. IEEE Transactions on Geoscience and Remote Sensing. 29(2). 342–344. 15 indexed citations
13.
McFee, John E. & Y. Das. (1990). A multipole expansion model for compact ferrous object detection. 3 indexed citations
14.
Das, Y., et al.. (1990). Analysis of an electromagnetic induction detector for real-time location of buried objects. IEEE Transactions on Geoscience and Remote Sensing. 28(3). 278–288. 94 indexed citations
15.
McFee, John E.. (1989). Electromagnetic remote sensing. Low frequency electromagnetics. Defense Technical Information Center (DTIC). 89. 23761. 25 indexed citations
16.
Das, Y., et al.. (1988). Experiments on a detector array for real-time location of buried objects. 2 indexed citations
17.
McFee, John E. & Y. Das. (1986). Fast Nonrecursive Method for Estimating Location and Dipole Moment Components of a Static Magnetic Dipole. IEEE Transactions on Geoscience and Remote Sensing. GE-24(5). 663–673. 22 indexed citations
18.
McFee, John E., et al.. (1985). A magnetostatic signature measurement and analysis system. Journal of Physics E Scientific Instruments. 18(1). 54–60. 7 indexed citations
19.
Das, Y., John E. McFee, & Robert H. Chesney. (1985). Determination of Depth of Shallowly Buried Objects by Electromagnetic Induction. IEEE Transactions on Geoscience and Remote Sensing. GE-23(1). 60–66. 6 indexed citations
20.
Chesney, Robert H., Y. Das, John E. McFee, & M.R. Ito. (1984). Identification of Metallic Spheroids by Classification of Their Electromagnetic Induction Responses. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(6). 809–820. 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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