Madeleine Glick

2.1k total citations · 1 hit paper
75 papers, 1.4k citations indexed

About

Madeleine Glick is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Madeleine Glick has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 22 papers in Artificial Intelligence and 16 papers in Computer Networks and Communications. Recurrent topics in Madeleine Glick's work include Optical Network Technologies (50 papers), Photonic and Optical Devices (45 papers) and Advanced Optical Network Technologies (23 papers). Madeleine Glick is often cited by papers focused on Optical Network Technologies (50 papers), Photonic and Optical Devices (45 papers) and Advanced Optical Network Technologies (23 papers). Madeleine Glick collaborates with scholars based in United States, United Kingdom and Switzerland. Madeleine Glick's co-authors include Keren Bergman, Qixiang Cheng, Meisam Bahadori, Sébastien Rumley, Houman Rastegarfar, Nathan Abrams, Daniel C. Kilper, Pierre‐Alexandre Blanche, Gireeja Ranade and Amar Phanishayee and has published in prestigious journals such as Proceedings of the IEEE, Optics Express and Journal of Lightwave Technology.

In The Last Decade

Madeleine Glick

73 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent advances in optical technologies for data centers: a review

2018 408 citations Qixiang Cheng, Meisam Bahadori et al. profile →

Peers

Madeleine Glick

EEE

CNC

AI

AMPO

IS

Nicola Calabretta Netherlands

Odile Liboiron-Ladouceur Canada

Sébastien Rumley United States

Takehiro Tsuritani Japan

Dimitrios Klonidis Greece

Mahdi Nikdast United States

Hong Shick Min South Korea

Masahiko Jinno Japan

Fouad Kiamilev United States

M.D. Feuer United States

Nicola Calabretta Netherlands

Madeleine Glick

3.4k ×2.7

EEE

678 ×2.0

CNC

332 ×1.1

AI

549 ×1.9

AMPO

250 ×1.6

IS

Citations per year, relative to Madeleine Glick Madeleine Glick (= 1×) peers Nicola Calabretta

Countries citing papers authored by Madeleine Glick

Since Specialization

Citations

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

Fields of papers citing papers by Madeleine Glick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeleine Glick

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Dai, Liang, et al.. (2023). SiP Architecture For Accelerating Collective Communication in Distributed Deep Learning. W1G.1–W1G.1. 5 indexed citations

2.

Cheng, Qixiang, et al.. (2022). A Future Proof Reconfigurable Wireless and Fixed Converged Optical Fronthaul Network Using Silicon Photonic Switching Strategies. Journal of Lightwave Technology. 41(6). 1610–1618. 11 indexed citations

3.

Chen, Minjia, Anthony Rizzo, Zichen Wang, et al.. (2022). O-Band Microring Resonator Based Switch-and-Select Silicon Photonic Switch Fabric. Conference on Lasers and Electro-Optics. SF4M.7–SF4M.7. 3 indexed citations

4.

Glick, Madeleine, et al.. (2022). Performance trade-offs in reconfigurable networks for HPC. Journal of Optical Communications and Networking. 14(6). 454–454. 17 indexed citations

5.

Michelogiannakis, George, et al.. (2021). Maximizing the impact of emerging photonic switches at the system level. 32–32. 1 indexed citations

6.

Cheng, Qixiang, et al.. (2020). Silicon Photonics Codesign for Deep Learning. Proceedings of the IEEE. 108(8). 1261–1282. 61 indexed citations

7.

Abrams, Nathan, Qixiang Cheng, Madeleine Glick, et al.. (2020). Silicon Photonic 2.5D Integrated Multi-Chip Module Receiver. Conference on Lasers and Electro-Optics. SF1L.3–SF1L.3. 3 indexed citations

8.

Shalf, John, George Michelogiannakis, Brian Austin, et al.. (2020). Photonic Memory Disaggregation in Datacenters. PsW1F.5–PsW1F.5. 3 indexed citations

9.

Abrams, Nathan, Qixiang Cheng, Madeleine Glick, et al.. (2020). Silicon Photonic 2.5D Multi-Chip Module Transceiver for High-Performance Data Centers. Journal of Lightwave Technology. 38(13). 3346–3357. 50 indexed citations

10.

Cheng, Qixiang, et al.. (2019). High-resolution Silicon Microring based Architecture for Optical Matrix Multiplication. Conference on Lasers and Electro-Optics. 1–2. 3 indexed citations

11.

Shen, Yiwen, Xiang Meng, Qixiang Cheng, et al.. (2019). Silicon Photonics for Extreme Scale Systems. Journal of Lightwave Technology. 37(2). 245–259. 53 indexed citations

12.

Cheng, Qixiang, Meisam Bahadori, Madeleine Glick, & Keren Bergman. (2019). Scalable Space-And-Wavelength Selective Switch Architecture Using Microring Resonators. Conference on Lasers and Electro-Optics. 6 indexed citations

13.

Shen, Yiwen, Madeleine Glick, & Keren Bergman. (2019). Silicon photonic-enabled bandwidth steering for resource-efficient high performance computing. 3–3. 1 indexed citations

14.

Hung, Yu‐Han, et al.. (2019). Silicon photonic switch-based optical equalization for mitigating pulsewidth distortion. Optics Express. 27(14). 19426–19426. 9 indexed citations

15.

Wang, Guohui, David G. Andersen, Michael Kaminsky, et al.. (2018). Your Data Center Is a Router: The Case for Reconfigurable Optical Circuit Switched Paths. Figshare. 15 indexed citations

16.

Blanche, Pierre‐Alexandre, et al.. (2016). Optical implementation of probabilistic graphical models. 1–6. 5 indexed citations

17.

Rastegarfar, Houman, Stanley R. Johnson, Weiyang Mo, et al.. (2015). Traffic-aware non-uniform passband assignment in elastic optical networks. 7 1. 402–403. 1 indexed citations

18.

Glick, Madeleine, David G. Andersen, Michael Kaminsky, & Lily Mummert. (2009). Dynamically reconfigurable hybrid optical / electrical networks for high-bandwidth data centers. 64–65. 4 indexed citations

19.

Glick, Madeleine. (2008). Optical Interconnects in Next Generation Data Centers: An End to End View. 178–181. 21 indexed citations

20.

Moore, Andrew W., et al.. (2006). Physical Layer Impact upon Packet Errors. 14–7. 6 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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