Bradley K. Alpert

3.5k total citations
48 papers, 1.9k citations indexed

About

Bradley K. Alpert is a scholar working on Electrical and Electronic Engineering, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Bradley K. Alpert has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 11 papers in Astronomy and Astrophysics and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Bradley K. Alpert's work include Superconducting and THz Device Technology (11 papers), Electromagnetic Scattering and Analysis (9 papers) and Physics of Superconductivity and Magnetism (6 papers). Bradley K. Alpert is often cited by papers focused on Superconducting and THz Device Technology (11 papers), Electromagnetic Scattering and Analysis (9 papers) and Physics of Superconductivity and Magnetism (6 papers). Bradley K. Alpert collaborates with scholars based in United States, Singapore and Egypt. Bradley K. Alpert's co-authors include Vladimir Rokhlin, Gregory Beylkin, Leslie Greengard, Thomas Hagstrom, Ronald R. Coifman, L. Vozovoi, Ronald C. Wittmann, Dylan F. Williams, Joel N. Ullom and David H. Sharp and has published in prestigious journals such as Applied Physics Letters, Journal of Computational Physics and Optics Express.

In The Last Decade

Bradley K. Alpert

44 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bradley K. Alpert United States 19 667 639 352 322 292 48 1.9k
Wei Cai United States 28 1.1k 1.6× 847 1.3× 164 0.5× 496 1.5× 296 1.0× 148 2.5k
A. G. Yagola Russia 16 250 0.4× 293 0.5× 166 0.5× 377 1.2× 321 1.1× 152 2.5k
June‐Yub Lee South Korea 20 371 0.6× 272 0.4× 119 0.3× 442 1.4× 201 0.7× 47 1.6k
Yu. A. Brychkov Russia 15 683 1.0× 696 1.1× 53 0.2× 123 0.4× 263 0.9× 59 3.3k
O. I. Marichev United States 11 1.5k 2.3× 716 1.1× 66 0.2× 112 0.3× 251 0.9× 17 3.9k
Bernie D. Shizgal Canada 30 438 0.7× 1.4k 2.2× 71 0.2× 702 2.2× 210 0.7× 163 3.4k
A. P. Prudnikov Russia 14 826 1.2× 885 1.4× 72 0.2× 169 0.5× 414 1.4× 27 3.9k
V. S. Vladimirov Russia 17 284 0.4× 539 0.8× 139 0.4× 358 1.1× 562 1.9× 48 4.7k
A. L. Bello United Kingdom 6 989 1.5× 1.1k 1.7× 62 0.2× 116 0.4× 192 0.7× 10 3.4k
J. A. C. Weideman South Africa 22 389 0.6× 481 0.8× 68 0.2× 616 1.9× 279 1.0× 49 2.7k

Countries citing papers authored by Bradley K. Alpert

Since Specialization
Citations

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

Fields of papers citing papers by Bradley K. Alpert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley K. Alpert. 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 Bradley K. Alpert. The network helps show where Bradley K. Alpert may publish in the future.

Co-authorship network of co-authors of Bradley K. Alpert

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley K. Alpert. A scholar is included among the top collaborators of Bradley K. Alpert 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 Bradley K. Alpert. Bradley K. Alpert 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.
Levine, Zachary H., Bradley K. Alpert, Joseph W. Fowler, et al.. (2023). A tabletop X-ray tomography instrument for nanometer-scale imaging: reconstructions. Microsystems & Nanoengineering. 9(1). 47–47. 3 indexed citations
2.
Liu, Zhiguang, George Barbastathis, Qihang Zhang, et al.. (2023). Noise-resilient deep learning for integrated circuit tomography. Optics Express. 31(10). 15355–15355. 2 indexed citations
3.
Fowler, Joseph W., Bradley K. Alpert, G. C. O’Neil, Daniel S. Swetz, & Joel N. Ullom. (2022). Energy Calibration of Nonlinear Microcalorimeters with Uncertainty Estimates from Gaussian Process Regression. Journal of Low Temperature Physics. 209(5-6). 1047–1054. 3 indexed citations
4.
Barbastathis, George, et al.. (2022). Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. Electronic Imaging. 34(5). 202–1. 1 indexed citations
5.
Bell, Ian H. & Bradley K. Alpert. (2018). Exceptionally reliable density-solving algorithms for multiparameter mixture models from Chebyshev expansion rootfinding. Fluid Phase Equilibria. 476. 89–102. 9 indexed citations
6.
Fowler, Joseph W., Christine G. Pappas, Bradley K. Alpert, et al.. (2018). Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses. Journal of Low Temperature Physics. 193(3-4). 539–546. 4 indexed citations
7.
Bell, Ian H., et al.. (2018). ChebTools: C++11 (and Python) tools for working with Chebyshev expansions. The Journal of Open Source Software. 3(22). 569–569. 9 indexed citations
8.
O’Neil, G. C., Luis Miaja‐Avila, Young Il Joe, et al.. (2017). Ultrafast Time-Resolved X-ray Absorption Spectroscopy of Ferrioxalate Photolysis with a Laser Plasma X-ray Source and Microcalorimeter Array. The Journal of Physical Chemistry Letters. 8(5). 1099–1104. 29 indexed citations
9.
Alpert, Bradley K., W. B. Doriese, G. C. Hilton, et al.. (2017). A Reassessment of Absolute Energies of X-ray L Lines of Lanthanide Metals | NIST. Physical Review Applied. 54(4).
10.
Fowler, Joseph W., Bradley K. Alpert, W. B. Doriese, et al.. (2016). When “Optimal Filtering” Isn’t. IEEE Transactions on Applied Superconductivity. 27(4). 1–4. 5 indexed citations
11.
Fowler, Joseph W., Bradley K. Alpert, W. B. Doriese, et al.. (2015). The Practice of Pulse Processing. Journal of Low Temperature Physics. 184(1-2). 374–381. 40 indexed citations
12.
Fowler, Joseph W., Bradley K. Alpert, W. B. Doriese, et al.. (2015). MICROCALORIMETER SPECTROSCOPY AT HIGH PULSE RATES: A MULTI-PULSE FITTING TECHNIQUE. The Astrophysical Journal Supplement Series. 219(2). 35–35. 18 indexed citations
13.
Alpert, Bradley K., D. A. Bennett, W. B. Doriese, et al.. (2013). Note: Operation of gamma-ray microcalorimeters at elevated count rates using filters with constraints. Review of Scientific Instruments. 84(5). 56107–56107. 14 indexed citations
14.
Williams, Dylan F., Bradley K. Alpert, Uwe Arz, David K. Walker, & H. Grabinski. (2003). Causal characteristic impedance of planar transmission lines. IEEE Transactions on Advanced Packaging. 26(2). 165–171. 17 indexed citations
15.
Williams, Dylan F. & Bradley K. Alpert. (2001). Causality and waveguide circuit theory. IEEE Transactions on Microwave Theory and Techniques. 49(4). 615–623. 17 indexed citations
16.
Alpert, Bradley K.. (1995). High-order quadratures for integral operators with singular kernels. Journal of Computational and Applied Mathematics. 60(3). 367–378. 20 indexed citations
17.
Alpert, Bradley K.. (1993). A Class of Bases in $L^2$ for the Sparse Representation of Integral Operators. SIAM Journal on Mathematical Analysis. 24(1). 246–262. 328 indexed citations
18.
Alpert, Bradley K.. (1991). Construction of Simple Multiscale Bases for Fast Matrix Operations. eScholarship (California Digital Library). 4 indexed citations
19.
Alpert, Bradley K.. (1990). Rapidly-Convergent Quadratures for Integral Operators with Singular Kernels. eScholarship (California Digital Library). 2 indexed citations
20.
Mjolsness, Eric, David H. Sharp, & Bradley K. Alpert. (1989). Scaling, machine learning, and genetic neural nets. Advances in Applied Mathematics. 10(2). 137–163. 53 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wei Cai Breakdown of academic impact, for papers by A. G. Yagola Breakdown of academic impact, for papers by June‐Yub Lee Breakdown of academic impact, for papers by Yu. A. Brychkov Breakdown of academic impact, for papers by O. I. Marichev Breakdown of academic impact, for papers by Bernie D. Shizgal Breakdown of academic impact, for papers by A. P. Prudnikov Breakdown of academic impact, for papers by V. S. Vladimirov Breakdown of academic impact, for papers by A. L. Bello Breakdown of academic impact, for papers by J. A. C. Weideman
Rankless by CCL
2026