Jeffrey Bacon

583 total citations
20 papers, 240 citations indexed

About

Jeffrey Bacon is a scholar working on Nuclear and High Energy Physics, Radiation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jeffrey Bacon has authored 20 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 11 papers in Radiation and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jeffrey Bacon's work include Particle Detector Development and Performance (15 papers), Particle physics theoretical and experimental studies (11 papers) and Radiation Detection and Scintillator Technologies (11 papers). Jeffrey Bacon is often cited by papers focused on Particle Detector Development and Performance (15 papers), Particle physics theoretical and experimental studies (11 papers) and Radiation Detection and Scintillator Technologies (11 papers). Jeffrey Bacon collaborates with scholars based in United States and Japan. Jeffrey Bacon's co-authors include C. L. Morris, E. Guardincerri, J. M. Durham, K. Borozdin, Haruo Miyadera, John Oliver Perry, D. J. Morley, Adam Hecht, E.C. Milner and Zarija Lukić and has published in prestigious journals such as Journal of Applied Physics, Review of Scientific Instruments and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Jeffrey Bacon

19 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Bacon United States 10 212 158 50 27 24 20 240
J. M. Durham United States 7 130 0.6× 93 0.6× 19 0.4× 18 0.7× 13 0.5× 19 147
E. Guardincerri United States 8 133 0.6× 93 0.6× 21 0.4× 20 0.7× 18 0.8× 22 165
D. Naumburger Germany 4 92 0.4× 76 0.5× 29 0.6× 27 1.0× 33 1.4× 6 151
C. Shearer United Kingdom 8 115 0.5× 81 0.5× 19 0.4× 16 0.6× 4 0.2× 13 134
H. Szymanowski Germany 7 81 0.4× 229 1.4× 44 0.9× 36 1.3× 28 1.2× 13 302
Kunihiro Morishima Japan 8 160 0.8× 78 0.5× 21 0.4× 14 0.5× 8 0.3× 36 206
L Dauffy United States 6 77 0.4× 89 0.6× 23 0.5× 16 0.6× 21 0.9× 18 128
A. Do United States 8 103 0.5× 63 0.4× 33 0.7× 33 1.2× 7 0.3× 18 128
S. Procureur France 10 200 0.9× 149 0.9× 24 0.5× 22 0.8× 17 0.7× 24 218
C. Jewett United States 7 109 0.5× 92 0.6× 13 0.3× 34 1.3× 10 0.4× 17 143

Countries citing papers authored by Jeffrey Bacon

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Bacon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Bacon

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Bacon. A scholar is included among the top collaborators of Jeffrey Bacon 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 Jeffrey Bacon. Jeffrey Bacon 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.
Bonneville, Alain, R. T. Kouzes, C. A. Rowe, et al.. (2017). A novel muon detector for borehole density tomography. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 851. 108–117. 13 indexed citations
3.
Durham, J. M., E. Guardincerri, C. L. Morris, et al.. (2016). Cosmic ray muon computed tomography of spent nuclear fuel in dry storage casks. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 842. 48–53. 39 indexed citations
4.
Guardincerri, E., J. M. Durham, C. L. Morris, et al.. (2016). Imaging the inside of thick structures using cosmic rays. AIP Advances. 6(1). 5 indexed citations
5.
Freeman, M. S., W. Wei, E. Guardincerri, et al.. (2016). A study of CR-39 plastic charged-particle detector replacement by consumer imaging sensors. Review of Scientific Instruments. 87(11). 11E706–11E706. 1 indexed citations
6.
Miyadera, Haruo, C. L. Morris, Jeffrey Bacon, et al.. (2016). Muon trackers for imaging a nuclear reactor. Journal of Instrumentation. 11(9). P09008–P09008. 10 indexed citations
7.
Durham, J. M., E. Guardincerri, C. L. Morris, et al.. (2016). Cosmic Ray Muon Imaging of Spent Nuclear Fuel in Dry Storage Casks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 44(3). 17 indexed citations
8.
Guardincerri, E., et al.. (2015). Cosmic-ray imaging of spent fuel casks. APS. 2015. 1 indexed citations
9.
Durham, J. M., et al.. (2015). Tests of cosmic ray radiography for power industry applications. AIP Advances. 5(6). 21 indexed citations
10.
Guardincerri, E., Jeffrey Bacon, K. Borozdin, et al.. (2015). Detecting special nuclear material using muon-induced neutron emission. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 789. 109–113. 15 indexed citations
11.
Miyadera, Haruo, K. Fujita, Yoshiji Karino, et al.. (2014). Noninvasive Reactor Imaging Using Cosmic-Ray Muons. 177–186. 1 indexed citations
12.
Morris, C. L., et al.. (2014). Horizontal cosmic ray muon radiography for imaging nuclear threats. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 330. 42–46. 21 indexed citations
13.
Perry, John Oliver, et al.. (2014). Analysis of the multigroup model for muon tomography based threat detection. Journal of Applied Physics. 115(6). 7 indexed citations
14.
Wang, ‪Zhehui, et al.. (2014). A double-helix neutron detector using micron-size 10B powder. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 764. 261–267. 4 indexed citations
15.
Perry, John Oliver, Jeffrey Bacon, K. Borozdin, et al.. (2013). Imaging a nuclear reactor using cosmic ray muons. Journal of Applied Physics. 113(18). 40 indexed citations
16.
Morris, C. L., Jeffrey Bacon, K. Borozdin, et al.. (2013). A new method for imaging nuclear threats using cosmic ray muons. AIP Advances. 3(8). 11 indexed citations
17.
Salvat, D. J., C. L. Morris, ‪Zhehui Wang, et al.. (2012). A boron-coated ionization chamber for ultra-cold neutron detection. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 691. 109–112. 3 indexed citations
18.
Morris, C. L., K. Borozdin, Jeffrey Bacon, et al.. (2012). Obtaining material identification with cosmic ray radiography. AIP Advances. 2(4). 28 indexed citations
19.
Borozdin, K., K.S. Chung, Nicolas Hengartner, et al.. (2010). A range muon tomography performance study. 67–69. 2 indexed citations
20.
Borozdin, K., et al.. (2010). A range muon tomography performance study for the detection of explosives. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 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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