M. Dobbs

66.5k total citations
47 papers, 495 citations indexed

About

M. Dobbs is a scholar working on Astronomy and Astrophysics, Condensed Matter Physics and Electrical and Electronic Engineering. According to data from OpenAlex, M. Dobbs has authored 47 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 16 papers in Condensed Matter Physics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in M. Dobbs's work include Superconducting and THz Device Technology (28 papers), Radio Astronomy Observations and Technology (16 papers) and Physics of Superconductivity and Magnetism (14 papers). M. Dobbs is often cited by papers focused on Superconducting and THz Device Technology (28 papers), Radio Astronomy Observations and Technology (16 papers) and Physics of Superconductivity and Magnetism (14 papers). M. Dobbs collaborates with scholars based in Canada, United States and Japan. M. Dobbs's co-authors include J. B. Hansen, H. G. Spieler, T. Lanting, Hsiao-Mei Cho, A.D. Smith, John Clarke, P. L. Richards, Adrian T. Lee, W. L. Holzapfel and M. Lueker and has published in prestigious journals such as Applied Physics Letters, The Astrophysical Journal and Computer Physics Communications.

In The Last Decade

M. Dobbs

43 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Dobbs Canada 13 261 232 112 109 49 47 495
Larry R. D’Addario United States 12 304 1.2× 62 0.3× 75 0.7× 150 1.4× 84 1.7× 45 415
В. Б. Лебедев Russia 11 336 1.3× 384 1.7× 22 0.2× 70 0.6× 43 0.9× 41 498
Y.-M. Liang United States 8 325 1.2× 444 1.9× 18 0.2× 22 0.2× 41 0.8× 10 548
Abigail Hedden United States 12 200 0.8× 14 0.1× 30 0.3× 103 0.9× 23 0.5× 47 327
T. Reiter United Kingdom 11 82 0.3× 488 2.1× 9 0.1× 61 0.6× 94 1.9× 15 615
L. Taffarello Italy 11 243 0.9× 185 0.8× 21 0.2× 73 0.7× 291 5.9× 25 517
G. V. Pallottino Italy 12 223 0.9× 78 0.3× 24 0.2× 64 0.6× 76 1.6× 43 334
Arnold Rosenblum United States 10 260 1.0× 132 0.6× 7 0.1× 27 0.2× 73 1.5× 37 388
F. van Kann Australia 9 153 0.6× 55 0.2× 13 0.1× 49 0.4× 159 3.2× 29 342
G. V. Pallottino Italy 9 276 1.1× 64 0.3× 15 0.1× 24 0.2× 91 1.9× 28 338

Countries citing papers authored by M. Dobbs

Since Specialization
Citations

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

Fields of papers citing papers by M. Dobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Dobbs

This figure shows the co-authorship network connecting the top 25 collaborators of M. Dobbs. A scholar is included among the top collaborators of M. Dobbs 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 M. Dobbs. M. Dobbs 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.
Wang, Haochen, Kiyoshi W. Masui, Kevin Bandura, et al.. (2025). Demonstration of hybrid foreground removal on CHIME data. Physical review. D. 111(10). 1 indexed citations
2.
3.
Rafiei-Ravandi, Masoud, Kendrick M. Smith, Daniele Michilli, et al.. (2024). Statistical Association between the Candidate Repeating FRB 20200320A and a Galaxy Group. The Astrophysical Journal. 961(2). 177–177. 1 indexed citations
4.
Rouble, M., M. Dobbs, & A. Gilbert. (2023). WinterLab: Developing a Low-Cost, Portable Experiment Platform to Encourage Engagement in the Clectronics Lab. arXiv (Cornell University). 14(1). 11–22. 1 indexed citations
5.
Haan, T. de, et al.. (2022). Digital active nulling for frequency-multiplexed bolometer readout: performance and latency. 144–144. 1 indexed citations
6.
Rouble, M., et al.. (2020). Transformer-Coupled TES Frequency Domain Readout Prototype. Journal of Low Temperature Physics. 199(3-4). 780–788. 1 indexed citations
7.
Dobbs, M., et al.. (2017). Demonstration of cardiac rotor and source mapping techniques in embryonic chick monolayers. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(9). 93938–93938. 8 indexed citations
8.
Bandura, Kevin, A. N. Bender, Jean-François Cliche, et al.. (2016). ICE: A Scalable, Low-Cost FPGA-Based Telescope Signal Processing and Networking System. Journal of Astronomical Instrumentation. 5(4). 19 indexed citations
9.
Smecher, G., et al.. (2012). An automatic control interface for network-accessible embedded instruments. ACM SIGBED Review. 9(2). 23–27. 3 indexed citations
10.
Westbrook, B., A. Lee, Xiangchao Meng, et al.. (2012). Design Evolution of the Spiderweb TES Bolometer for Cosmology Applications. Journal of Low Temperature Physics. 167(5-6). 885–891. 10 indexed citations
11.
Aubin, François, et al.. (2011). A Biasing and Demodulation System for Kilopixel TES Bolometer Arrays. IEEE Transactions on Instrumentation and Measurement. 61(1). 251–260. 12 indexed citations
12.
Lueker, M., B. A. Benson, Hsiao-Mei Cho, et al.. (2009). Thermal Design and Characterization of Transition-Edge Sensor (TES) Bolometers for Frequency-Domain Multiplexing. IEEE Transactions on Applied Superconductivity. 19(3). 496–500. 11 indexed citations
13.
Dobbs, M., et al.. (2009). Multiplexed readout of CMB polarimeters. Journal of Physics Conference Series. 155. 12004–12004. 8 indexed citations
14.
Hubmayr, Johannes, François Aubin, M. Dobbs, et al.. (2008). Design and characterization of TES bolometers and SQUID readout electronics for a balloon-borne application. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7020. 70200J–70200J. 4 indexed citations
15.
Lanting, T., Kam Arnold, Hsiao-Mei Cho, et al.. (2006). Frequency-domain readout multiplexing of transition-edge sensor arrays. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 559(2). 793–795. 2 indexed citations
16.
Lanting, T., Hsiao-Mei Cho, John Clarke, et al.. (2005). Frequency-domain multiplexed readout of transition-edge sensor arrays with a superconducting quantum interference device. Applied Physics Letters. 86(11). 53 indexed citations
17.
Dobbs, M.. (2005). Prospects for Probing Triple Gauge-boson Couplings at the LHC. AIP conference proceedings. 753. 181–192. 9 indexed citations
18.
Lanting, T., Hsiao-Mei Cho, John Clarke, et al.. (2003). A frequency-domain SQUID multiplexer for arrays of transition-edge superconducting sensors. IEEE Transactions on Applied Superconductivity. 13(2). 626–629. 13 indexed citations
19.
Dobbs, M.. (2002). Phase space veto method for next-to-leading order event generators in hadronic collisions. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 65(9). 14 indexed citations
20.
Dobbs, M.. (2001). Incorporating next-to-leading order matrix elements for hadronic diboson production in showering event generators. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 64(3). 22 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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