Mahmut E. Sinangil

2.1k citations

34 papers · 1.5k · 1 hit paper · h-index 18

Impact in

Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- VLSI and Analog Circuit Testing
Electrical and Electronic Engineering top 5%
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Low-power high-performance VLSI design
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design

Papers in

Electrical and Electronic Engineering 27
- Low-power high-performance VLSI design 19
- Advancements in Semiconductor Devices and Circuit Design 10
- Advanced Memory and Neural Computing 8
- Semiconductor materials and devices 7
- Ferroelectric and Negative Capacitance Devices 6
- VLSI and FPGA Design Techniques 6
Hardware and Architecture 13
- VLSI and Analog Circuit Testing 6
- Parallel Computing and Optimization Techniques 6

Co-authors: Anantha P. Chandrakasan (20 shared papers)Hung-Jen Liao (6 shared papers)Yih Wang (4 shared papers)Dar Sun (4 shared papers)Naveen Verma (4 shared papers)Jonathan Chang (6 shared papers)Win-San Khwa (2 shared papers)Burak Erbagci (2 shared papers)
Journals: IEEE Journal of Solid-State Circuits (9 papers)Proceedings of the IEEE (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)IEEE Conference Proceedings (1 paper)
Partner nations: United States Taiwan United Kingdom

In The Last Decade

Mahmut E. Sinangil

32 papers receiving 1.5k citations

Mahmut E. Sinangil's Hit Papers

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16.4 An 89TOPS/W and 16.3TOPS/mm² All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications 2021 · 227 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 16.4 An 89TOPS/W and 16.3TOPS/mm² All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications

Peers

Countries citing papers authored by Mahmut E. Sinangil

Since Specialization

Citations

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

Fields of papers citing papers by Mahmut E. Sinangil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahmut E. Sinangil. 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 Mahmut E. Sinangil. The network helps show where Mahmut E. Sinangil may publish in the future.

Co-authors

The 25 scholars most cited alongside Mahmut E. Sinangil, 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 Mahmut E. Sinangil Line = papers co-authored together Mahmut E. Sinangil links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	15.3 A 351TOPS/W and 372.4GOPS Compute-in-Memory SRAM Macro in 7nm FinFET CMOS for Machine-Learning Applications Qing Dong, Mahmut E. Sinangil, Burak Erbagci, Dar Sun, Win-San Khwa, Hung-Jen Liao, Yih Wang, Jonathan Chang	2020	255
2	16.4 An 89TOPS/W and 16.3TOPS/mm² All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications Yu-Der Chih, Po-Hao Lee, Hidehiro Fujiwara, Yi-Chun Shih, Chia-Fu Lee, Rawan Naous, Yulin Chen, Chieh-Pu Lo, C.W. Lu, H. Mori, Wei-Chang Zhao, Dar Sun, Mahmut E. Sinangil, Yen-Huei Chen, Tan‐Li Chou, Kerem Akarvardar, Hung-Jen Liao, Yih Wang, Meng‐Fan Chang, Tsung-Yung Jonathan Chang Hit paper breakdown →	2021	227
3	A 5-nm 254-TOPS/W 221-TOPS/mm² Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous MAC and Write Operations 2022 IEEE International Solid- State Circuits Conference (ISSCC) ·Hidehiro Fujiwara, H. Mori, Wei-Chang Zhao, Mei‐Chen Chuang, Rawan Naous, Chao-Kai Chuang, Takeshi Hashizume, Dar Sun, Chia-Fu Lee, Kerem Akarvardar, Saman Adham, Tan‐Li Chou, Mahmut E. Sinangil, Yih Wang, Yu-Der Chih, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang	2022	142
4	A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS IEEE Journal of Solid-State Circuits ·Mahmut E. Sinangil, Burak Erbagci, Rawan Naous, Kerem Akarvardar, Dar Sun, Win-San Khwa, Hung-Jen Liao, Yih Wang, Jonathan Chang	2020	125
5	A Reconfigurable 8T Ultra-Dynamic Voltage Scalable (U-DVS) SRAM in 65 nm CMOS IEEE Journal of Solid-State Circuits ·Mahmut E. Sinangil, Naveen Verma, Anantha P. Chandrakasan	2009	99
6	Technologies for Ultradynamic Voltage Scaling Proceedings of the IEEE ·Anantha P. Chandrakasan, Denis C. Daly, Daniel Finchelstein, Joyce Kwong, Yogesh Ramadass, Mahmut E. Sinangil, Vivienne Sze, Naveen Verma	2010	89
7	Challenges and Directions for Low-Voltage SRAM IEEE Design & Test of Computers ·Masood Qazi, Mahmut E. Sinangil, Anantha P. Chandrakasan	2010	61
8	A 28nm high-density 6T SRAM with optimized peripheral-assist circuits for operation down to 0.6V Mahmut E. Sinangil, Hugh Mair, Anantha P. Chandrakasan	2011	60
9	Self-aware computing in the Angstrom processor DSpace@MIT (Massachusetts Institute of Technology) ·Henry Hoffmann, Jim Holt, George Thomas Kurian, Eric Lau, Martina Maggio, Jason Miller, Sabrina M. Neuman, Mahmut E. Sinangil, Yildiz Sinangil, Anant Agarwal, Anantha P. Chandrakasan, Srinivas Devadas	2012	59
10	A 28 nm 0.6 V Low Power DSP for Mobile Applications IEEE Journal of Solid-State Circuits ·Nathan Ickes, Gordon Gammie, Mahmut E. Sinangil, Rahul Rithe, Jie Gu, A. Wang, H. Mair, Satyendra Datla, Bo Rong, Sushma Honnavara-Prasad, L. Ho, Greg Baldwin, D.D. Buss, Anantha P. Chandrakasan, U. Ko	2011	47
11	A 1-Mb 28-nm 1T1MTJ STT-MRAM With Single-Cap Offset-Cancelled Sense Amplifier and <italic>In Situ</italic> Self-Write-Termination IEEE Journal of Solid-State Circuits ·Qing Dong, Zhehong Wang, Jongyup Lim, Yiqun Zhang, Mahmut E. Sinangil, Yi-Chun Shih, Yu-Der Chih, Jonathan Chang, David Blaauw, Dennis Sylvester	2018	41
12	Application-Specific SRAM Design Using Output Prediction to Reduce Bit-Line Switching Activity and Statistically Gated Sense Amplifiers for Up to 1.9$\times$ Lower Energy/Access IEEE Journal of Solid-State Circuits ·Mahmut E. Sinangil, Anantha P. Chandrakasan	2013	40
13	A 0.7-V 1.8-mW H.264/AVC 720p Video Decoder IEEE Journal of Solid-State Circuits ·Vivienne Sze, Daniel Finchelstein, Mahmut E. Sinangil, Anantha P. Chandrakasan	2009	39
14	Cost and Coding Efficient Motion Estimation Design Considerations for High Efficiency Video Coding (HEVC) Standard IEEE Journal of Selected Topics in Signal Processing ·Mahmut E. Sinangil, Vivienne Sze, Minhua Zhou, Anantha P. Chandrakasan	2013	35
15	A 28 nm 2 Mbit 6 T SRAM With Highly Configurable Low-Voltage Write-Ability Assist Implementation and Capacitor-Based Sense-Amplifier Input Offset Compensation IEEE Journal of Solid-State Circuits ·Mahmut E. Sinangil, John W. Poulton, Matthew Fojtik, Thomas H. Greer, Stephen G. Tell, Andreas J. Gotterba, Jesse Wang, J. Golbus, Brian Zimmer, William J. Dally, C. Thomas Gray	2015	30
16	Application-Specific SRAM Design Using Output Prediction to Reduce Bit-Line Switching Activity and Statistically Gated Sense Amplifiers for Up to 1.9x Lower Energy/Access DSpace@MIT (Massachusetts Institute of Technology) ·Mahmut E. Sinangil, Anantha P. Chandrakasan	2013	29
17	A reconfigurable 65nm SRAM achieving voltage scalability from 0.25–1.2V and performance scalability from 20kHz–200MHz Mahmut E. Sinangil, Naveen Verma, Anantha P. Chandrakasan	2008	25
18	A 28nm 0.6V low-power DSP for mobile applications Gordon Gammie, Nathan Ickes, Mahmut E. Sinangil, Rahul Rithe, Jie Gu, Alice Wang, Hugh Mair, Satyendra Datla, Bing Rong, Sushma Honnavara-Prasad, Lam Si Tung Ho, Greg Baldwin, D.D. Buss, Anantha P. Chandrakasan, Uming Ko	2011	25
19	A 45nm 0.5V 8T column-interleaved SRAM with on-chip reference selection loop for sense-amplifier DSpace@MIT (Massachusetts Institute of Technology) ·Mahmut E. Sinangil, Naveen Verma, Anantha P. Chandrakasan	2009	16
20	A self-aware processor SoC using energy monitors integrated into power converters for self-adaptation Yildiz Sinangil, Sabrina M. Neuman, Mahmut E. Sinangil, Nathan Ickes, George Bezerra, Eric Lau, Jason Miller, Henry Hoffmann, Srini Devadas, Anantha P. Chandraksan	2014	14

About Mahmut E. Sinangil

Mahmut E. Sinangil is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (19 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers), Advanced Memory and Neural Computing (8 papers), Semiconductor materials and devices (7 papers), Ferroelectric and Negative Capacitance Devices (6 papers), VLSI and FPGA Design Techniques (6 papers), VLSI and Analog Circuit Testing (6 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Hardware and Architecture (396 citations), Electrical and Electronic Engineering (1.3k citations), Signal Processing (101 citations), Computer Vision and Pattern Recognition (182 citations) and Computer Networks and Communications (176 citations). Mahmut E. Sinangil has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Anantha P. Chandrakasan, Hung-Jen Liao, Yih Wang, Dar Sun, Naveen Verma, Jonathan Chang, Win-San Khwa, Burak Erbagci, Qing Dong and Vivienne Sze. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Proceedings of the IEEE, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Journal of Selected Topics in Signal Processing and IEEE Conference Proceedings.

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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Mahmut E. Sinangil

Mahmut E. Sinangil's Hit Papers

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Fields of papers citing papers by Mahmut E. Sinangil

All Works

About Mahmut E. Sinangil

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