Mark S. Bandstra

507 total citations
50 papers, 302 citations indexed

About

Mark S. Bandstra is a scholar working on Radiation, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark S. Bandstra has authored 50 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiation, 13 papers in Nuclear and High Energy Physics and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark S. Bandstra's work include Radiation Detection and Scintillator Technologies (31 papers), Nuclear Physics and Applications (15 papers) and Particle Detector Development and Performance (12 papers). Mark S. Bandstra is often cited by papers focused on Radiation Detection and Scintillator Technologies (31 papers), Nuclear Physics and Applications (15 papers) and Particle Detector Development and Performance (12 papers). Mark S. Bandstra collaborates with scholars based in United States, Taiwan and France. Mark S. Bandstra's co-authors include Tenzing H. Y. Joshi, K. Vetter, Brian J. Quiter, R.J. Cooper, Andreas Zoglauer, M. Salathe, Steven E. Boggs, C. Wunderer, M. Amman and P.N. Luke and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Mark S. Bandstra

46 papers receiving 296 citations

Peers

Mark S. Bandstra
Tenzing H. Y. Joshi United States
R.J. Cooper United States
Andrew Haefner United States
Douglas E. Peplow United States
C Michotte France
Todd S. Palmer United States
Iván Lux Hungary
Jeffrey Favorite United States
Sunghwan Moon South Korea
Tenzing H. Y. Joshi United States
Mark S. Bandstra
Citations per year, relative to Mark S. Bandstra Mark S. Bandstra (= 1×) peers Tenzing H. Y. Joshi

Countries citing papers authored by Mark S. Bandstra

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Bandstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Bandstra. 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 Mark S. Bandstra. The network helps show where Mark S. Bandstra may publish in the future.

Co-authorship network of co-authors of Mark S. Bandstra

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Bandstra. A scholar is included among the top collaborators of Mark S. Bandstra 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 Mark S. Bandstra. Mark S. Bandstra 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.
Lee, Jaewon, Tenzing H. Y. Joshi, Mark S. Bandstra, et al.. (2024). Radiation image reconstruction and uncertainty quantification using a Gaussian process prior. Scientific Reports. 14(1). 22958–22958.
3.
Bandstra, Mark S., et al.. (2023). Explaining machine-learning models for gamma-ray detection and identification. PLoS ONE. 18(6). e0286829–e0286829. 10 indexed citations
4.
Cooper, R.J., et al.. (2022). An Ensemble Approach to Computationally Efficient Radiological Anomaly Detection and Isotope Identification. IEEE Transactions on Nuclear Science. 69(10). 2168–2178. 1 indexed citations
5.
Salathe, M., Brian J. Quiter, Mark S. Bandstra, et al.. (2022). A multi-modal scanning system to digitize CBRNE emergency response scenes. eScholarship (California Digital Library). 74–79. 1 indexed citations
6.
Peplow, Douglas E., et al.. (2022). Threat Sources for Detection Algorithm Testing Developed with SCALE. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 136–139. 1 indexed citations
7.
Quiter, Brian J., Mark S. Bandstra, Joshua W. Cates, et al.. (2022). Ongoing advancement of free-moving radiation imaging and mapping. eScholarship (California Digital Library). 11114. 33–33. 1 indexed citations
8.
Bandstra, Mark S., Brian J. Quiter, K. Meehan, et al.. (2021). Improved Gamma-Ray Point Source Quantification in Three Dimensions by Modeling Attenuation in the Scene. arXiv (Cornell University). 10 indexed citations
9.
Joshi, Tenzing H. Y., et al.. (2021). Neural Network Approaches for Mobile Spectroscopic Gamma-Ray Source Detection. SHILAP Revista de lepidopterología. 2(2). 190–206. 13 indexed citations
10.
Bandstra, Mark S., et al.. (2020). Modeling Aerial Gamma-Ray Backgrounds Using Non-negative Matrix Factorization. IEEE Transactions on Nuclear Science. 67(5). 777–790. 7 indexed citations
11.
Bandstra, Mark S., et al.. (2020). Reconstructing the Position and Intensity of Multiple Gamma-Ray Point Sources With a Sparse Parametric Algorithm. IEEE Transactions on Nuclear Science. 67(11). 2421–2430. 14 indexed citations
12.
Joshi, Tenzing H. Y., et al.. (2019). Non-negative Matrix Factorization of Gamma-Ray Spectra for Background Modeling, Detection, and Source Identification. IEEE Transactions on Nuclear Science. 66(5). 827–837. 18 indexed citations
13.
Bandstra, Mark S., et al.. (2019). Correlations between Panoramic Imagery and Gamma-Ray Background in an Urban Area. 12. 1–5. 2 indexed citations
14.
Bandstra, Mark S., E. Brubaker, R.J. Cooper, et al.. (2016). RadMAP: The Radiological Multi-sensor Analysis Platform. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 840. 59–68. 26 indexed citations
15.
Bandstra, Mark S., et al.. (2015). Impact of detector efficiency and energy resolution on gamma-ray background rejection in mobile spectroscopy and imaging systems. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 789. 128–133. 2 indexed citations
16.
Quiter, Brian J., Mark S. Bandstra, Tenzing H. Y. Joshi, et al.. (2015). Characterization of an advanced airborne radiation detector system for the ARES project. 1–3.
17.
Bandstra, Mark S., et al.. (2014). Effects of Background on Gamma-Ray Detection for Mobile Spectroscopy and Imaging Systems. IEEE Transactions on Nuclear Science. 61(2). 985–991. 13 indexed citations
18.
Bellm, Eric C., Daniel Perez-Becker, J.M. Liang, et al.. (2009). Efficiency and polarimetric calibration of the Nuclear Compton Telescope. 444–448. 3 indexed citations
19.
Liu, Zong-Kai, Yuan-Hann Chang, Steven E. Boggs, et al.. (2009). Characterizing and Correcting the Cross-Talk Effect on Depth Measurement in the NCT Detectors. IEEE Transactions on Nuclear Science. 56(3). 1210–1214. 3 indexed citations
20.
Liu, Zong-Kai, Mark S. Bandstra, Daniel Perez-Becker, et al.. (2009). Energy, depth calibration, and imaging capability of Nuclear Compton Telescope. 472–476. 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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