Evangelos Eleftheriou

Electrical and Electronic Engineering · 1986–2022

A researcher in the Science corpus: 15 papers; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 184 citations into it; #2,948 of 16,539 by trust here, #2,811 by citations
• Artificial Intelligence — 52 citations into it
• Computer Networks and Communications — 33 citations into it; #2,977 of 9,886 by trust here, #3,993 by citations
• Atomic and Molecular Physics, and Optics — 16 citations into it; #2,647 of 7,135 by trust here, #4,183 by citations
• Control and Systems Engineering — 12 citations into it; #3,585 of 8,257 by trust here, #3,865 by citations
• Biomedical Engineering — 9 citations into it; #3,498 of 10,734 by trust here, #7,279 by citations

Whom Evangelos Eleftheriou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. T. Richardson
2. Sae-Young Chung
3. Rüdiger L. Urbanke
4. H. Jin
5. Claude E. Shannon
6. Abu Sebastian
7. Andrew J. Fleming
8. Jinghu Chen
9. Xiao-Yu Hu
10. Alexander Barg

Who trusts Evangelos Eleftheriou overall

1. Andrew J. Fleming
2. Dariush Divsalar
3. Georg Schitter
4. David Declercq
5. Guoying Gu
6. Marc P. C. Fossorier
7. Xiao-Yu Hu
8. S. Dolinar
9. Charly Poulliat
10. Henk Wymeersch

Papers from Evangelos Eleftheriou's perspective

Ordered by how strongly the researchers Evangelos Eleftheriou trusts endorse each paper. Same corpus, a different order for every researcher.

1. The capacity of low-density parity-check codes under message-passing decoding (IEEE Transactions on Information Theory)
2. On the construction of some capacity-approaching coding schemes
3. Irregular repeat accumulate codes
4. Low-Density Parity-Check Codes
5. In-datacenter performance analysis of a tensor processing unit
6. Bleu: a Method for Automatic Evaluation of Machine Translation
7. Creep, hysteresis, and vibration compensation for piezoactuators: atomic force microscopy application (Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334))
8. Vector quantization and signal compression
9. ImageNet classification with deep convolutional neural networks
10. High bandwidth nano-positioner: A robust control approach

Their papers

• Mixed-precision in-memory computing (2017) — 420 citations
• Memory devices and applications for in-memory computing (2020) — 2,015 citations
• Neuromorphic computing with multi-memristive synapses (2017) — 751 citations
• Stochastic phase-change neurons. (2016) — 980 citations
• Reduced-complexity decoding of LDPC codes (2005) — 970 citations
• A Survey of Control Issues in Nanopositioning (2007) — 1,092 citations
• Accurate deep neural network inference using computational phase-change memory (2019) — 474 citations
• Efficient implementations of the sum-product algorithm for decoding LDPC codes (2001) — 388 citations
• Recent Progress in Phase-Change Memory Technology (2016) — 336 citations
• Progressive edge-growth Tanner graphs (2001) — 506 citations
• Write amplification analysis in flash-based solid state drives (2009) — 358 citations
• "Millipede": a MEMS-based scanning-probe data-storage system (2002) — 250 citations
• Regular and irregular progressive edge-growth tanner graphs (2005) — 1,485 citations
• A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference (2022) — 314 citations
• Tracking properties and steady-state performance of RLS adaptive filter algorithms (1986)