Danny Luu

795 total citations
32 papers, 634 citations indexed

About

Danny Luu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Danny Luu has authored 32 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Danny Luu's work include Advancements in PLL and VCO Technologies (20 papers), Analog and Mixed-Signal Circuit Design (13 papers) and Photonic and Optical Devices (9 papers). Danny Luu is often cited by papers focused on Advancements in PLL and VCO Technologies (20 papers), Analog and Mixed-Signal Circuit Design (13 papers) and Photonic and Optical Devices (9 papers). Danny Luu collaborates with scholars based in Switzerland, United States and South Korea. Danny Luu's co-authors include Lukas Kull, Pier Andrea Francese, Christian Menolfi, Thomas Morf, Thomas Toifl, Alessandro Cevrero, İlter Özkaya, Marcel Kossel, Matthias Bräendli and Matthias Brändli and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, BMC Bioinformatics and Electronics Letters.

In The Last Decade

Danny Luu

31 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Luu Switzerland 14 625 260 50 34 25 32 634
İlter Özkaya Switzerland 14 684 1.1× 259 1.0× 45 0.9× 33 1.0× 22 0.9× 35 694
Mónico Linares Aranda Mexico 9 420 0.7× 178 0.7× 55 1.1× 27 0.8× 15 0.6× 41 447
Rajesh Inti United States 16 670 1.1× 308 1.2× 47 0.9× 33 1.0× 7 0.3× 30 684
Tatsuji Matsuura Japan 12 457 0.7× 348 1.3× 44 0.9× 51 1.5× 15 0.6× 65 491
Shiro Sakiyama Japan 12 451 0.7× 346 1.3× 28 0.6× 32 0.9× 10 0.4× 23 474
Snorre Aunet Norway 14 657 1.1× 296 1.1× 84 1.7× 42 1.2× 40 1.6× 90 686
J.T. Stonick United States 11 409 0.7× 192 0.7× 43 0.9× 37 1.1× 9 0.4× 25 431
Wonsik Yu South Korea 10 467 0.7× 385 1.5× 26 0.5× 16 0.5× 8 0.3× 13 477
Behnam Sedighi United States 12 527 0.8× 128 0.5× 27 0.5× 66 1.9× 41 1.6× 50 556
Daehwa Paik Japan 5 340 0.5× 308 1.2× 26 0.5× 45 1.3× 9 0.4× 7 366

Countries citing papers authored by Danny Luu

Since Specialization
Citations

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

Fields of papers citing papers by Danny Luu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Luu

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Luu. A scholar is included among the top collaborators of Danny Luu 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 Danny Luu. Danny Luu 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.
Luu, Danny, et al.. (2022). Graph4Med: a web application and a graph database for visualizing and analyzing medical databases. BMC Bioinformatics. 23(1). 537–537.
2.
Kossel, Marcel, Alessandro Cevrero, İlter Özkaya, et al.. (2019). A 161-mW 56-Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14-nm FinFET. IEEE Journal of Solid-State Circuits. 55(1). 38–48. 43 indexed citations
3.
Cevrero, Alessandro, İlter Özkaya, Pier Andrea Francese, et al.. (2019). 6.1 A 100Gb/s 1.1pJ/b PAM-4 RX with Dual-Mode 1-Tap PAM-4 / 3-Tap NRZ Speculative DFE in 14nm CMOS FinFET. 112–114. 55 indexed citations
4.
Bräendli, Matthias, Andreas Burg, Giovanni Cherubini, et al.. (2018). Design Techniques for High-Speed Multi-Level Viterbi Detectors and Trellis-Coded-Modulation Decoders. IEEE Transactions on Circuits and Systems I Regular Papers. 65(10). 3529–3542. 14 indexed citations
5.
Kull, Lukas, Danny Luu, Christian Menolfi, et al.. (2018). A 10-Bit 20–40 GS/S ADC with 37 dB SNDR at 40 GHz Input Using First Order Sampling Bandwidth Calibration. 275–276. 21 indexed citations
6.
Kull, Lukas, Danny Luu, Christian Menolfi, et al.. (2018). A 24-to-72GS/s 8b time-interleaved SAR ADC with 2.0-to-3.3pJ/conversion and >30dB SNDR at nyquist in 14nm CMOS FinFET. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 358–360. 28 indexed citations
7.
Menolfi, Christian, Thomas Toifl, Matthias Bräendli, et al.. (2018). A 112Gb/S 2.6pJ/b 8-Tap FFE PAM-4 SST TX in 14nm CMOS. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 104–106. 67 indexed citations
8.
Kull, Lukas, Danny Luu, Christian Menolfi, et al.. (2018). A 24–72-GS/s 8-b Time-Interleaved SAR ADC With 2.0–3.3-pJ/Conversion and >30 dB SNDR at Nyquist in 14-nm CMOS FinFET. IEEE Journal of Solid-State Circuits. 53(12). 3508–3516. 64 indexed citations
9.
Toifl, Thomas, Christian Menolfi, Matthias Bräendli, et al.. (2018). A 0.3PJ/Bit 112GB/S PAM4 1+0.5D TX-DFE Precoder and 8-Tap FFE in 14NM CMOS. 53–54. 6 indexed citations
10.
Francese, Pier Andrea, Alessandro Cevrero, İlter Özkaya, et al.. (2018). A 50GB/S 1.6PJ/B RX Data-Path with Quarter-Rate 3-Tap Speculative DFE. 267–268. 6 indexed citations
11.
Kull, Lukas, Danny Luu, Matthias Bräendli, et al.. (2018). Parallel Implementation Technique of Digital Equalizer for Ultra-High-Speed Wireline Receiver. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5. 3 indexed citations
12.
Francese, Pier Andrea, Matthias Brändli, Christian Menolfi, et al.. (2017). A 5Gb/s 7.1fJ/b/mm 8× multi-drop on-chip 10mm data link in 14nm FinFET CMOS SOI at 0.5V. Lirias (KU Leuven). C54–C55. 3 indexed citations
13.
Luu, Danny, Lukas Kull, Thomas Toifl, et al.. (2017). Background calibration using noisy reference ADC for a 12 b 600 MS/s 2 × TI SAR ADC in 14nm CMOS FinFET. 183–186. 5 indexed citations
14.
Özkaya, İlter, Alessandro Cevrero, Pier Andrea Francese, et al.. (2017). A 64-Gb/s 1.4-pJ/b NRZ Optical Receiver Data-Path in 14-nm CMOS FinFET. IEEE Journal of Solid-State Circuits. 52(12). 3458–3473. 70 indexed citations
15.
Cevrero, Alessandro, İlter Özkaya, Pier Andrea Francese, et al.. (2017). A 60 Gb/s 1.9 pJ/bit NRZ optical-receiver with low latency digital CDR in 14nm CMOS FinFET. C320–C321. 5 indexed citations
16.
Luu, Danny, Lukas Kull, Thomas Toifl, et al.. (2017). A 12b 61dB SNDR 300MS/s SAR ADC with inverter-based preamplifier and common-mode-regulation DAC in 14nm CMOS FinFET. C276–C277. 12 indexed citations
17.
Cevrero, Alessandro, İlter Özkaya, Pier Andrea Francese, et al.. (2017). 29.1 A 64Gb/s 1.4pJ/b NRZ optical-receiver data-path in 14nm CMOS FinFET. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 482–483. 15 indexed citations
18.
Kull, Lukas, Danny Luu, Christian Menolfi, et al.. (2017). 28.5 A 10b 1.5GS/s pipelined-SAR ADC with background second-stage common-mode regulation and offset calibration in 14nm CMOS FinFET. 474–475. 78 indexed citations
19.
Kull, Lukas, Danny Luu, Pier Andrea Francese, et al.. (2016). CMOS ADCs Towards 100 GS/s and Beyond. 7 indexed citations
20.
Francese, Pier Andrea, Matthias Brändli, Christian Menolfi, et al.. (2016). 23.6 A 30Gb/s 0.8pJ/b 14nm FinFET receiver data-path. 408–409. 7 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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