B. T. Carlson

43.8k total citations
11 papers, 150 citations indexed

About

B. T. Carlson is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, B. T. Carlson has authored 11 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in B. T. Carlson's work include Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (4 papers) and Computational Physics and Python Applications (3 papers). B. T. Carlson is often cited by papers focused on Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (4 papers) and Computational Physics and Python Applications (3 papers). B. T. Carlson collaborates with scholars based in United States, Australia and Philippines. B. T. Carlson's co-authors include Marissa Ahlering, Michael C. Wimberly, T. M. Hong, F. Peter Guengerich, H. J. Stelzer, K. Hammond, M. Billing, Stefano De Santis, M. Palmer and Keith Parrish and has published in prestigious journals such as Nature Communications, Biological Conservation and Canadian Journal of Zoology.

In The Last Decade

B. T. Carlson

11 papers receiving 147 citations

Peers

B. T. Carlson

ECOLO

GPC

NHEP

NLC

Christiaan Meijer Netherlands

Kai Ikuta Japan

Melvin Varughese South Africa

M. Hempel Germany

C. Pellegrino Italy

R. Alfaro Mexico

Yingying Li China

Ming‐Xian Zhao China

Zhengyi Shao China

Christiaan Meijer Netherlands

B. T. Carlson

115 ×1.9

ECOLO

29 ×0.5

GPC

4 ×0.2

NHEP

20 ×1.0

NLC

64 ×4.3

Citations per year, relative to B. T. Carlson B. T. Carlson (= 1×) peers Christiaan Meijer

Countries citing papers authored by B. T. Carlson

Since Specialization

Citations

This map shows the geographic impact of B. T. Carlson'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 B. T. Carlson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. T. Carlson more than expected).

Fields of papers citing papers by B. T. Carlson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. T. Carlson. 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 B. T. Carlson. The network helps show where B. T. Carlson may publish in the future.

Co-authorship network of co-authors of B. T. Carlson

This figure shows the co-authorship network connecting the top 25 collaborators of B. T. Carlson. A scholar is included among the top collaborators of B. T. Carlson 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 B. T. Carlson. B. T. Carlson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Carlson, B. T., et al.. (2025). Nanosecond hardware regression trees in FPGA at the LHC. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1072. 170209–170209. 1 indexed citations

Carlson, B. T., et al.. (2024). Nanosecond anomaly detection with decision trees and real-time application to exotic Higgs decays. Nature Communications. 15(1). 3527–3527. 11 indexed citations

Carlson, B. T., et al.. (2022). Nanosecond machine learning regression with deep boosted decision trees in FPGA for high energy physics. Journal of Instrumentation. 17(9). P09039–P09039. 8 indexed citations

Hong, T. M., et al.. (2021). Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics. Journal of Instrumentation. 16(8). P08016–P08016. 18 indexed citations

Norman, Stephanie A., M. Bradley Hanson, Dyanna M. Lambourn, et al.. (2018). Conception, fetal growth, and calving seasonality of harbor porpoise (Phocoena phocoena) in the Salish Sea waters of Washington, USA, and southern British Columbia, Canada. Canadian Journal of Zoology. 96(6). 566–575. 8 indexed citations

Wimberly, Michael C., et al.. (2017). Grassland connectivity in fragmented agricultural landscapes of the north-central United States. Biological Conservation. 217. 121–130. 79 indexed citations

Carlson, B. T., et al.. (2017). 7,8-benzoflavone binding to human cytochrome P450 3A4 reveals complex fluorescence quenching, suggesting binding at multiple protein sites. Journal of Biomolecular Structure and Dynamics. 36(4). 841–860. 16 indexed citations

Carlson, B. T., et al.. (2014). Electron cloud density measurements in accelerator beam-pipe using resonant microwave excitation. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 754. 28–35. 4 indexed citations

Santis, Stefano De, et al.. (2010). Characterization of electron clouds in the Cornell Electron Storage Ring Test Accelerator usingTE-wave transmission. Physical Review Special Topics - Accelerators and Beams. 13(7). 3 indexed citations

10.

Glugla, M., S. Beloglazov, B. T. Carlson, et al.. (2007). Recent progress in ITER tritium plant systems design and layout. 1 indexed citations

11.

Parrish, Keith & B. T. Carlson. (1997). The use of high thermal conductivity composites in the satellite bus structure of the wide field infrared explorer. 573–580. 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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