Institution
Agilent Technologies
Company•Santa Clara, California, United States•
About: Agilent Technologies is a company organization based out in Santa Clara, California, United States. It is known for research contribution in the topics: Signal & Mass spectrometry. The organization has 7398 authors who have published 11518 publications receiving 262410 citations. The organization is also known as: Agilent Technologies, Inc..
Papers published on a yearly basis
Papers
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TL;DR: A cutaneous pathway displaying capabilities for serotonin biosynthesis and/or its metabolism to N-acetylserotonin in rodent skin is uncovered, as serotonin has powerful vasodilator, immunomodulator, and growth factor actions, and this pathway could be involved in skin physiology and/ or pathology.
69 citations
Patent•
31 Oct 2003TL;DR: In this article, a system for identifying calls traversing a packet network is presented, which includes an analysis device that correlates the first signaling information with the second signaling information to generate correlated records about calls that traverse both the packet switched network and the circuit network.
Abstract: A system for identifying calls traversing a packet network. The system includes an analysis device that receives first signaling information from a packet network and second signaling information from a circuit network. The analysis device correlates the first signaling information with the second signaling information to generate correlated records about calls that traverse both the packet switched network and the circuit network. A database system receives the correlated records and calculates statistics describing traffic that traversed both the packet network and the circuit network.
69 citations
TL;DR: In this article, the authors examined the effect of protein kinase CK2α-phosphorylation of maize SSRP1 protein on the C-terminal region next to the HMG box domain.
69 citations
01 Jun 2014
TL;DR: In this article, an active-source injection based waveform measurement HW/SW system built around an artificial neural network (ANN) training infrastructure for coupled electrothermal and trap-dependent model constitutive relations is presented.
Abstract: A complete nonlinear characterization and modeling flow for modern GaN transistors is presented. Features include a new active-source injection based waveform measurement HW/SW system built around an NVNA, an extended artificial neural network (ANN) training infrastructure for coupled electro-thermal and trap-dependent model constitutive relations, and the native implementation in a commercial simulator. The model is validated by detailed comparisons to measured data for an advanced mm-wave 150 nm 6×60μm GaN HFET manufactured by Raytheon Integrated Defense Systems. Excellent results are achieved for DC, S-parameters, harmonic and intermodulation distortion, and load-pull figures of merit, over a very wide range of bias conditions, complex loads, powers, and frequencies.
69 citations
TL;DR: A high diagnostic yield of genetic testing in children followed through three national networks with a clinical diagnosis of a renal tubulopathy is demonstrated, consistent with a predominantly genetic etiology in known disease genes.
69 citations
Authors
Showing all 7402 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Hongjie Dai | 197 | 570 | 182579 |
| Zhuang Liu | 149 | 535 | 87662 |
| Jie Liu | 131 | 1531 | 68891 |
| Thomas Quertermous | 103 | 405 | 52437 |
| John E. Bowers | 102 | 1767 | 49290 |
| Roy G. Gordon | 89 | 449 | 31058 |
| Masaru Tomita | 76 | 677 | 40415 |
| Stuart Lindsay | 74 | 347 | 22224 |
| Ron Shamir | 74 | 319 | 23670 |
| W. Richard McCombie | 71 | 144 | 64155 |
| Tomoyoshi Soga | 71 | 392 | 21209 |
| Michael R. Krames | 65 | 321 | 18448 |
| Shabaz Mohammed | 64 | 188 | 17254 |
| Geert Leus | 62 | 609 | 19492 |
| Giuseppe Gigli | 61 | 541 | 15159 |