K. Segall

746 total citations
39 papers, 448 citations indexed

About

K. Segall is a scholar working on Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, K. Segall has authored 39 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 15 papers in Atomic and Molecular Physics, and Optics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in K. Segall's work include Superconducting and THz Device Technology (15 papers), Physics of Superconductivity and Magnetism (12 papers) and Neural Networks and Reservoir Computing (6 papers). K. Segall is often cited by papers focused on Superconducting and THz Device Technology (15 papers), Physics of Superconductivity and Magnetism (12 papers) and Neural Networks and Reservoir Computing (6 papers). K. Segall collaborates with scholars based in United States, Spain and Sweden. K. Segall's co-authors include C. M. Wilson, Dan Schult, S. H. Moseley, M. C. Gaidis, S. Friedrich, D. E. Prober, Patrick Crotty, Andrew E. Szymkowiak, Michael L. Schneider and D. E. Prober and has published in prestigious journals such as Nano Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

K. Segall

37 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Segall United States 12 200 165 162 141 140 39 448
Manuel Castellanos-Beltran United States 14 532 2.7× 75 0.5× 177 1.1× 623 4.4× 1.1k 7.9× 28 1.3k
K. Ilin Germany 9 91 0.5× 55 0.3× 143 0.9× 74 0.5× 186 1.3× 16 352
Edward Wasige United Kingdom 16 672 3.4× 118 0.7× 171 1.1× 105 0.7× 295 2.1× 106 804
Michael Metcalfe United States 10 401 2.0× 42 0.3× 109 0.7× 647 4.6× 1.2k 8.4× 13 1.3k
A. B. Cawthorne United States 10 144 0.7× 99 0.6× 241 1.5× 37 0.3× 283 2.0× 19 570
I. Zapata Spain 10 32 0.2× 42 0.3× 113 0.7× 83 0.6× 546 3.9× 23 722
Nicola Bartolo France 11 48 0.2× 78 0.5× 48 0.3× 309 2.2× 715 5.1× 18 825
Uri Vool United States 15 144 0.7× 46 0.3× 191 1.2× 896 6.4× 1.1k 8.2× 26 1.4k
M. Kiviranta Finland 15 258 1.3× 439 2.7× 349 2.2× 21 0.1× 222 1.6× 74 637
David Andrieux Belgium 12 24 0.1× 46 0.3× 27 0.2× 111 0.8× 353 2.5× 19 773

Countries citing papers authored by K. Segall

Since Specialization
Citations

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

Fields of papers citing papers by K. Segall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Segall

This figure shows the co-authorship network connecting the top 25 collaborators of K. Segall. A scholar is included among the top collaborators of K. Segall 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 K. Segall. K. Segall 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.
Schneider, Michael L., Émilie Jué, Matthew R. Pufall, K. Segall, & Charles W. Anderson. (2025). A self-training spiking superconducting neuromorphic architecture. PubMed. 2(1). 5–5.
2.
Segall, K., et al.. (2023). A superconducting synapse exhibiting spike-timing dependent plasticity. Applied Physics Letters. 122(24). 8 indexed citations
3.
Crotty, Patrick, K. Segall, & Dan Schult. (2023). Biologically Realistic Behaviors From a Superconducting Neuron Model. IEEE Transactions on Applied Superconductivity. 33(4). 1–6. 7 indexed citations
4.
Toomey, Emily, et al.. (2020). Superconducting Nanowire Spiking Element for Neural Networks. Nano Letters. 20(11). 8059–8066. 41 indexed citations
5.
Segall, K., et al.. (2017). Synchronization dynamics on the picosecond time scale in coupled Josephson junction neurons. Physical review. E. 95(3). 32220–32220. 61 indexed citations
6.
Segall, K., et al.. (2015). Thermal depinning of fluxons in ratchet discrete Josephson rings. The European Physical Journal B. 88(7). 1 indexed citations
7.
Segall, K., et al.. (2014). Phase-flip bifurcation in a coupled Josephson junction neuron system. Physica B Condensed Matter. 455. 71–75. 21 indexed citations
8.
Segall, K., Jack T. Moyer, & J. J. Mazo. (2008). Subgap biasing of superconducting tunnel junctions without a magnetic field. Journal of Applied Physics. 104(4). 1 indexed citations
9.
Mazo, J. J., et al.. (2008). Thermal depinning of fluxons in discrete Josephson rings. Physical Review B. 78(17). 5 indexed citations
10.
Segall, K., J. J. Mazo, & T. P. Orlando. (2005). Numerical Simulation of Multi-Junction Bias Circuits for Superconducting Detectors. IEEE Transactions on Applied Superconductivity. 15(2). 583–586. 3 indexed citations
11.
Segall, K., J. Lee, Terry P. Orlando, et al.. (2003). Experimental characterization of the two current states in a Nb persistent-current qubit. IEEE Transactions on Applied Superconductivity. 13(2). 1009–1012. 4 indexed citations
12.
Segall, K., Lin Tian, Janice Lee, et al.. (2002). Two-state Dynamics in a Superconducting Persistent Current Qubit. APS March Meeting Abstracts. 1 indexed citations
13.
Segall, K., K. W. Lehnert, Thomas R. Stevenson, et al.. (2002). A high-performance cryogenic amplifier based on a radio-frequency single electron transistor. Applied Physics Letters. 81(25). 4859–4861. 15 indexed citations
14.
Falo, F., Pedro J. Martínez, J. J. Mazo, et al.. (2002). Fluxon ratchet potentials in superconducting circuits. Applied Physics A. 75(2). 263–269. 22 indexed citations
15.
Segall, K., C. M. Wilson, Luigi Frunzio, et al.. (2001). Noise mechanisms in single photon superconducting tunnel junction detectors. Applied Physics Letters. 76. 1 indexed citations
16.
Stevenson, Thomas R., A. Aassime, Per Delsing, et al.. (2001). RF single electron transistor readout amplifiers for superconducting astronomical detectors of X-ray to sub-mm wavelengths. IEEE Transactions on Applied Superconductivity. 11(1). 692–695. 5 indexed citations
17.
Segall, K., C. M. Wilson, Luigi Frunzio, et al.. (2000). Noise mechanisms in superconducting tunnel-junction detectors. Applied Physics Letters. 76(26). 3998–4000. 26 indexed citations
18.
Wilson, C. M., K. Segall, Luigi Frunzio, et al.. (2000). Optical/UV single-photon imaging spectrometers using superconducting tunnel junctions. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 444(1-2). 449–452. 17 indexed citations
19.
Friedrich, S., K. Segall, M. C. Gaidis, et al.. (1997). Experimental quasiparticle dynamics in a superconducting, imaging x-ray spectrometer. Applied Physics Letters. 71(26). 3901–3903. 44 indexed citations
20.
Arrington, Kyle J., J. Kennedy, R. P. Pisani, et al.. (1994). Cerenkov fiber sampling calorimeters. IEEE Transactions on Nuclear Science. 41(4). 840–844. 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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