Larry J. Schultz

1.3k total citations
25 papers, 781 citations indexed

About

Larry J. Schultz is a scholar working on Nuclear and High Energy Physics, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Larry J. Schultz has authored 25 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 10 papers in Radiation and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Larry J. Schultz's work include Particle Detector Development and Performance (15 papers), Particle physics theoretical and experimental studies (11 papers) and Radiation Detection and Scintillator Technologies (9 papers). Larry J. Schultz 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 (9 papers). Larry J. Schultz collaborates with scholars based in United States. Larry J. Schultz's co-authors include C. L. Morris, K. Borozdin, W. Priedhorsky, A. Saunders, Margaret E. Teasdale, Gary E. Hogan, J.J. Gómez, G. E. Hogan, J. McGill and Nicolas Hengartner and has published in prestigious journals such as Nature, IEEE Transactions on Image Processing and Review of Scientific Instruments.

In The Last Decade

Larry J. Schultz

25 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larry J. Schultz United States 11 627 451 124 119 109 25 781
R. Nolte Germany 20 381 0.6× 743 1.6× 132 1.1× 89 0.7× 53 0.5× 95 1.0k
M. Sumini Italy 12 139 0.2× 230 0.5× 52 0.4× 51 0.4× 40 0.4× 92 517
R. G. Alsmiller United States 15 204 0.3× 495 1.1× 63 0.5× 28 0.2× 54 0.5× 101 809
R. J. Ledoux United States 16 463 0.7× 356 0.8× 208 1.7× 9 0.1× 53 0.5× 38 735
W.W.M. Allison United Kingdom 13 434 0.7× 205 0.5× 108 0.9× 24 0.2× 18 0.2× 41 593
F. Arqueros Spain 14 292 0.5× 102 0.2× 109 0.9× 36 0.3× 24 0.2× 50 517
W. R. Zimmerman United States 12 350 0.6× 136 0.3× 179 1.4× 13 0.1× 43 0.4× 39 510
J. Kliman Slovakia 11 237 0.4× 290 0.6× 63 0.5× 13 0.1× 62 0.6× 54 537
Lu Wen China 7 645 1.0× 144 0.3× 421 3.4× 396 3.3× 46 0.4× 19 765
M. Ataç United States 12 347 0.6× 218 0.5× 121 1.0× 17 0.1× 64 0.6× 61 584

Countries citing papers authored by Larry J. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Larry J. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry J. Schultz. 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 Larry J. Schultz. The network helps show where Larry J. Schultz may publish in the future.

Co-authorship network of co-authors of Larry J. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Larry J. Schultz. A scholar is included among the top collaborators of Larry J. Schultz 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 Larry J. Schultz. Larry J. Schultz 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.
Espy, Michelle, et al.. (2014). Progress Toward a Deployable SQUID-Based Ultra-Low Field MRI System for Anatomical Imaging. IEEE Transactions on Applied Superconductivity. 25(3). 1–5. 25 indexed citations
2.
Espy, Michelle, Per E. Magnelind, Andrei Matlashov, et al.. (2011). Progress on Detection of Liquid Explosives Using Ultra-Low Field MRI. IEEE Transactions on Applied Superconductivity. 21(3). 530–533. 13 indexed citations
3.
Volegov, P. L., et al.. (2010). Noise Modeling From Conductive Shields Using Kirchhoff Equations. IEEE Transactions on Applied Superconductivity. 21(3). 489–492. 6 indexed citations
4.
Schultz, Larry J., et al.. (2010). SQUIDs vs. Induction Coils for Ultra-Low Field Nuclear Magnetic Resonance: Experimental and Simulation Comparison. IEEE Transactions on Applied Superconductivity. 21(3). 465–468. 20 indexed citations
5.
Borozdin, K., K.S. Chung, Nicolas Hengartner, et al.. (2010). A range muon tomography performance study. 67–69. 2 indexed citations
6.
Wang, Guobao, Larry J. Schultz, & Jinyi Qi. (2009). Bayesian Image Reconstruction for Improving Detection Performance of Muon Tomography. IEEE Transactions on Image Processing. 18(5). 1080–1089. 23 indexed citations
7.
Wang, Guobao, Larry J. Schultz, & Jinyi Qi. (2009). Statistical Image Reconstruction for Muon Tomography Using a Gaussian Scale Mixture Model. IEEE Transactions on Nuclear Science. 56(4). 2480–2486. 18 indexed citations
8.
Schultz, Larry J., Mark S. Wallace, M. Galassi, et al.. (2009). Hybrid coded aperture and Compton imaging using an active mask. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 608(2). 267–274. 21 indexed citations
9.
Borozdin, K., et al.. (2009). Soft cosmic ray tomography for detection of explosives. 968–970. 9 indexed citations
10.
Schultz, Larry J., K. Borozdin, Andrew M. Fraser, et al.. (2007). Statistical Reconstruction for Cosmic Ray Muon Tomography. IEEE Transactions on Image Processing. 16(8). 1985–1993. 107 indexed citations
11.
Klimenko, A., et al.. (2007). Exploring Signatures of Different Physical Processes for Fusion With Scattering Muon Tomography. IEEE Transactions on Nuclear Science. 54(1). 228–235. 5 indexed citations
12.
Klimenko, A., C. L. Morris, W. Priedhorsky, K. Borozdin, & Larry J. Schultz. (2006). Fusing Signatures of Different Physical Processes in Muon Tomography. 1. 307–311. 1 indexed citations
13.
Schultz, Larry J., K. Borozdin, Andrew M. Fraser, et al.. (2006). ML/EM Reconstruction Algorithm for Cosmic Ray Muon Tomography. 2006 IEEE Nuclear Science Symposium Conference Record. 2574–2577. 9 indexed citations
14.
Borozdin, K., Gary E. Hogan, C. L. Morris, et al.. (2003). Radiographic imaging with cosmic-ray muons. Nature. 422(6929). 277–277. 240 indexed citations
15.
Borozdin, K., J.J. Gómez, G. E. Hogan, et al.. (2003). Scattering muon radiography and its application to the detection of high-Z materials. 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). 46. 1061–1064 Vol.2. 3 indexed citations
16.
Priedhorsky, W., K. Borozdin, Gary E. Hogan, et al.. (2003). Detection of high-Z objects using multiple scattering of cosmic ray muons. Review of Scientific Instruments. 74(10). 4294–4297. 85 indexed citations
17.
Schultz, Larry J., K. Kwiatkowski, C. L. Morris, et al.. (2003). A narrow-gap ion chamber for beam motion correction in proton radiography experiments. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 508(3). 220–226. 1 indexed citations
18.
Lendaris, George G., et al.. (2002). Dual heuristic programming for fuzzy control. 1. 551–556. 10 indexed citations
19.
Schultz, Larry J., et al.. (2002). Using DHP adaptive critic methods to tune a fuzzy automobile steering controller. PDXScholar (Portland State University). 1. 557–562. 2 indexed citations
20.
Lendaris, G.G. & Larry J. Schultz. (2002). Controller design (from scratch) using approximate dynamic programming. PDXScholar (Portland State University). 31–36. 12 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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