Kevin Pratt

411 total citations
11 papers, 249 citations indexed

About

Kevin Pratt is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Kevin Pratt has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Condensed Matter Physics, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Cognitive Neuroscience. Recurrent topics in Kevin Pratt's work include Physics of Superconductivity and Magnetism (5 papers), Atomic and Subatomic Physics Research (3 papers) and Functional Brain Connectivity Studies (3 papers). Kevin Pratt is often cited by papers focused on Physics of Superconductivity and Magnetism (5 papers), Atomic and Subatomic Physics Research (3 papers) and Functional Brain Connectivity Studies (3 papers). Kevin Pratt collaborates with scholars based in United States, Germany and Finland. Kevin Pratt's co-authors include D. N. Paulson, Yoshio Okada, Shane A. Cybart, Ethan Y. Cho, Aapo Nummenmaa, R. C. Dynes, Chuong Huynh, Jussi Nurminen, Hao Li and Tommi Raij and has published in prestigious journals such as Blood, Applied Physics Letters and NeuroImage.

In The Last Decade

Kevin Pratt

11 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Pratt United States 8 95 94 60 55 35 11 249
Yasuhiro Haruta Japan 13 288 3.0× 100 1.1× 29 0.5× 48 0.9× 36 1.0× 27 459
S. J. Uftring United States 12 97 1.0× 126 1.3× 92 1.5× 190 3.5× 23 0.7× 18 417
Adam Li United States 9 197 2.1× 59 0.6× 27 0.5× 48 0.9× 23 0.7× 18 375
Masanori Higuchi Japan 10 355 3.7× 103 1.1× 35 0.6× 67 1.2× 72 2.1× 39 598
Kaoru Yamamoto Japan 10 54 0.6× 156 1.7× 37 0.6× 63 1.1× 47 1.3× 17 543
J. Schimmelpfennig Germany 4 73 0.8× 93 1.0× 22 0.4× 40 0.7× 15 0.4× 9 255
Lijie Guan United States 11 75 0.8× 136 1.4× 35 0.6× 31 0.6× 24 0.7× 32 331
M. S. Sercheli Brazil 8 208 2.2× 45 0.5× 92 1.5× 38 0.7× 8 0.2× 19 453
Christoph Pfeiffer Sweden 10 76 0.8× 114 1.2× 33 0.6× 47 0.9× 21 0.6× 22 212

Countries citing papers authored by Kevin Pratt

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Pratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Pratt

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

All Works

11 of 11 papers shown
1.
Li, Hao, et al.. (2020). Portable Solid Nitrogen Cooling System for High Transition Temperature Superconductive Electronics. IEEE Transactions on Applied Superconductivity. 30(7). 1–3. 9 indexed citations
2.
Lara, Lucia Navarro de, Mohammad Daneshzand, D. N. Paulson, et al.. (2020). A 3-axis coil design for multichannel TMS arrays. NeuroImage. 224. 117355–117355. 36 indexed citations
3.
Cho, Ethan Y., et al.. (2019). Series arrays of planar long Josephson junctions for high dynamic range magnetic flux detection. AIP Advances. 9(10). 17 indexed citations
5.
Sun, Limin, et al.. (2017). Versatile synchronized real-time MEG hardware controller for large-scale fast data acquisition. Review of Scientific Instruments. 88(5). 55110–55110. 4 indexed citations
6.
Okada, Yoshio, Matti Hämäläinen, Kevin Pratt, et al.. (2016). BabyMEG: A whole-head pediatric magnetoencephalography system for human brain development research. Review of Scientific Instruments. 87(9). 94301–94301. 56 indexed citations
7.
Edgar, J. Christopher, Rebecca Murray, Emily S. Kuschner, et al.. (2015). The maturation of auditory responses in infants and young children: a cross-sectional study from 6 to 59 months. Frontiers in Neuroanatomy. 9. 131–131. 20 indexed citations
8.
Cho, Ethan Y., Chuong Huynh, Kevin Pratt, et al.. (2015). YBa2Cu3O7−δ superconducting quantum interference devices with metallic to insulating barriers written with a focused helium ion beam. Applied Physics Letters. 106(25). 50 indexed citations
9.
Pakbaz, Zahra, Roland A. Fischer, Elliott Vichinsky, et al.. (2007). Liver Iron Measurement by SQUID Biosusceptometry Compared to Liver Biopsy: A More Accurate Definition of Optimal Iron Range.. Blood. 110(11). 2675–2675. 2 indexed citations
10.
Okada, Yoshio, et al.. (2006). BabySQUID: A mobile, high-resolution multichannel magnetoencephalography system for neonatal brain assessment. Review of Scientific Instruments. 77(2). 40 indexed citations
11.
Faley, M.I., Kevin Pratt, David Schurig, et al.. (2004). High temperature superconductor dc SQUID micro-susceptometer for room temperature objects. Superconductor Science and Technology. 17(5). S324–S327. 14 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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