Lillian Pentecost
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 5
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- Advanced Neural Network Applications 6
- Software top 10%
- Artificial Intelligence top 10%
- Topic Modeling 3
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- Advanced Memory and Neural Computing 9
- Ferroelectric and Negative Capacitance Devices 6
- Semiconductor materials and devices 3
- Radiation Effects in Electronics 2
- CCD and CMOS Imaging Sensors 1
- Co-authors
- Gu-Yeon WeiPaul N. WhatmoughUdit GuptaBrandon ReagenSae Kyu LeeD. BrooksDavid BrooksMarco Donato
- Journals
- IEEE Micro (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Lillian Pentecost
15 papers receiving 397 citations
Peers
Comparison fields: 5 of 42
- Hardware and Architecture 80
- Computer Vision and Pattern Recognition 142
- Software 26
- Artificial Intelligence 190
- Electrical and Electronic Engineering 285
Countries citing papers authored by Lillian Pentecost
This map shows the geographic impact of Lillian Pentecost'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 Lillian Pentecost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lillian Pentecost more than expected).
Fields of papers citing papers by Lillian Pentecost
This network shows the impact of papers produced by Lillian Pentecost. 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 Lillian Pentecost. The network helps show where Lillian Pentecost may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Lillian Pentecost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 60 | |
| 5 | EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. | 2020 | 7 |
| 6 | 2019 | 18 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 114 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 155 | |
| 14 | 2018 | 14 | |
| 15 | 2015 | 1 |
About Lillian Pentecost
Lillian Pentecost is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (5 papers), Topic Modeling (3 papers), Semiconductor materials and devices (3 papers), Radiation Effects in Electronics (2 papers) and CCD and CMOS Imaging Sensors (1 paper). The work is most often cited by research in Hardware and Architecture (80 citations), Computer Vision and Pattern Recognition (142 citations), Software (26 citations), Artificial Intelligence (190 citations) and Electrical and Electronic Engineering (285 citations). Lillian Pentecost has collaborated with scholars based in United States and South Korea. Frequent co-authors include Gu-Yeon Wei, Paul N. Whatmough, Udit Gupta, Brandon Reagen, Sae Kyu Lee, D. Brooks, David Brooks, Marco Donato, Coleman Hooper and En-Yu Yang. Their work appears in journals such as IEEE Micro.
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.