Irem Boybat

5.9k citations
41 papers · 4.1k · 5 hit papers · h-index 19

Impact in

Papers in

Irem Boybat

40 papers receiving 4.0k citations

Irem Boybat's Hit Papers

Accurate deep neural network inference using computational phase-change memory 2020 · 300 citations
3000+3+7Years since publication250500750

Peers

Irem Boybat
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 3.9k
  • Cellular and Molecular Neuroscience 1.2k
  • Polymers and Plastics 447
  • Artificial Intelligence 1.0k
  • Cognitive Neuroscience 581
Replace Wenqiang Zhang with:
Wenqiang Zhang China
Qingtian Zhang China
Stefano Ambrogio United States
Mohammed A. Zidan Saudi Arabia
Peng Yao China
Mingyi Rao United States
M. Prezioso United States
Yunning Li United States
Ning Ge China
Catherine E. Graves United States
Irem Boybat relative to Wenqiang Zhang China Wenqiang Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Irem Boybat

Since Specialization
Citations

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

Fields of papers citing papers by Irem Boybat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Irem Boybat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irem Boybat Line = papers co-authored together Irem Boybat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neuromorphic computing using non-volatile memory
Hit paper breakdown →
2016818
2
Equivalent-accuracy accelerated neural-network training using analogue memory
Hit paper breakdown →
2018770
3
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
Hit paper breakdown →
2015741
4
Neuromorphic computing with multi-memristive synapses
Hit paper breakdown →
2018637
5
Accurate deep neural network inference using computational phase-change memory
Hit paper breakdown →
2020300
6 2015124
7 2018118
8 201886
9 202076
10 202057
11 201844
12 201636
13 202228
14 202226
15 201925
16 202224
17 202023
18 202122
19 202220
20 201916

About Irem Boybat

Irem Boybat is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience, Materials Chemistry and Cognitive Neuroscience, having authored 41 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Ferroelectric and Negative Capacitance Devices (25 papers), Neural Networks and Reservoir Computing (13 papers), Neural dynamics and brain function (6 papers), Phase-change materials and chalcogenides (5 papers), CCD and CMOS Imaging Sensors (5 papers), Neuroscience and Neural Engineering (4 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.9k citations), Cellular and Molecular Neuroscience (1.2k citations), Polymers and Plastics (447 citations), Artificial Intelligence (1.0k citations) and Cognitive Neuroscience (581 citations). Irem Boybat has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Abu Sebastian, Manuel Le Gallo, Geoffrey W. Burr, R. M. Shelby, Pritish Narayanan, Severin Sidler, S. R. Nandakumar, Evangelos Eleftheriou, Bipin Rajendran and Yusuf Leblebici. Their work appears in journals such as Nature Communications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Scientific Reports, Frontiers in Neuroscience and Nature Computational Science.

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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