Mahmut E. Sinangil

2.0k total citations · 1 hit paper
34 papers, 1.5k citations indexed

About

Mahmut E. Sinangil is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mahmut E. Sinangil has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 13 papers in Hardware and Architecture and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahmut E. Sinangil's work include Low-power high-performance VLSI design (19 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers) and Advanced Memory and Neural Computing (8 papers). Mahmut E. Sinangil is often cited by papers focused on Low-power high-performance VLSI design (19 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers) and Advanced Memory and Neural Computing (8 papers). Mahmut E. Sinangil collaborates with scholars based in United States, Taiwan and Sweden. Mahmut E. Sinangil's co-authors include Anantha P. Chandrakasan, Hung-Jen Liao, Dar Sun, Yuxiao Wang, Naveen Verma, Jonathan Chang, Burak Erbagci, Win-San Khwa, Qing Dong and Vivienne Sze and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal of Solid-State Circuits and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Mahmut E. Sinangil

32 papers receiving 1.5k citations

Hit Papers

16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mahmut E. Sinangil United States 18 1.3k 388 182 168 141 34 1.5k
Farhana Sheikh United States 16 616 0.5× 309 0.8× 185 1.0× 149 0.9× 201 1.4× 47 899
Seokhyeong Kang South Korea 19 1.2k 1.0× 506 1.3× 68 0.4× 144 0.9× 157 1.1× 113 1.4k
Minsu Choi United States 15 734 0.6× 185 0.5× 96 0.5× 105 0.6× 133 0.9× 137 985
Selçuk Köse United States 18 720 0.6× 571 1.5× 172 0.9× 134 0.8× 410 2.9× 104 1.1k
Mehdi Kamal Iran 20 1.4k 1.1× 536 1.4× 101 0.6× 184 1.1× 194 1.4× 98 1.7k
Ik‐Joon Chang South Korea 17 1.2k 0.9× 362 0.9× 93 0.5× 123 0.7× 62 0.4× 70 1.3k
Noriyuki Miura Japan 22 1.5k 1.2× 471 1.2× 98 0.5× 313 1.9× 280 2.0× 172 1.8k
Carlos Tokunaga United States 18 1.5k 1.2× 873 2.3× 199 1.1× 127 0.8× 268 1.9× 43 1.9k
Steven Hsu United States 19 868 0.7× 537 1.4× 150 0.8× 157 0.9× 269 1.9× 71 1.2k
N. Felber Switzerland 20 829 0.6× 210 0.5× 153 0.8× 556 3.3× 276 2.0× 62 1.3k

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-authorship network of co-authors of Mahmut E. Sinangil

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

All Works

20 of 20 papers shown
2.
Fujiwara, Hidehiro, H. Mori, Mei‐Chen Chuang, et al.. (2022). 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). 1–3. 134 indexed citations
3.
Chih, Yu-Der, Po-Hao Lee, Hidehiro Fujiwara, et al.. (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. 252–254. 206 indexed citations breakdown →
4.
Sinangil, Mahmut E., Burak Erbagci, Rawan Naous, et al.. (2020). 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. 56(1). 188–198. 119 indexed citations
5.
Dong, Qing, Mahmut E. Sinangil, Burak Erbagci, et al.. (2020). 15.3 A 351TOPS/W and 372.4GOPS Compute-in-Memory SRAM Macro in 7nm FinFET CMOS for Machine-Learning Applications. 242–244. 249 indexed citations
6.
Dong, Qing, Zhehong Wang, Jongyup Lim, et al.. (2018). 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. 54(1). 231–239. 41 indexed citations
7.
Sinangil, Mahmut E., Yen‐Ting Lin, Haijun Liao, & Jonathan Chang. (2018). A 290MV Ultra-Low Voltage One-Port SRAM Compiler Design Using a 12T Write Contention and Read Upset Free Bit-Cell in 7NM FinFET Technology. 13–14. 2 indexed citations
8.
Sinangil, Mahmut E., et al.. (2017). Energy-Efficient Reconfigurable SRAM: Reducing Read Power Through Data Statistics. IEEE Journal of Solid-State Circuits. 52(10). 2703–2711. 13 indexed citations
9.
Chang, Jonathan, Hung-Jen Liao, Yu-Der Chih, et al.. (2017). Embedded memories for mobile, IoT, automotive and high performance computing. T26–T27. 8 indexed citations
10.
Sinangil, Mahmut E., et al.. (2014). A reverse write assist circuit for SRAM dynamic write V<inf>MIN</inf> tracking using canary SRAMs. 1–8. 3 indexed citations
11.
12.
Hoffmann, Henry, Jim Holt, George Thomas Kurian, et al.. (2012). Self-aware computing in the Angstrom processor. Lund University Publications (Lund University). 259–264. 59 indexed citations
13.
Sinangil, Mahmut E., et al.. (2012). Design of Low-Voltage Digital Building Blocks and ADCs for Energy-Efficient Systems. IEEE Transactions on Circuits & Systems II Express Briefs. 59(9). 533–537. 7 indexed citations
14.
Gammie, Gordon, Nathan Ickes, Mahmut E. Sinangil, et al.. (2011). A 28nm 0.6V low-power DSP for mobile applications. 132–134. 24 indexed citations
15.
Qazi, Masood, Mahmut E. Sinangil, & Anantha P. Chandrakasan. (2010). Challenges and Directions for Low-Voltage SRAM. IEEE Design & Test of Computers. 28(1). 32–43. 61 indexed citations
16.
Sinangil, Mahmut E., Naveen Verma, & Anantha P. Chandrakasan. (2009). A 45nm 0.5V 8T column-interleaved SRAM with on-chip reference selection loop for sense-amplifier. 225–228. 16 indexed citations
17.
Sinangil, Mahmut E., Naveen Verma, & Anantha P. Chandrakasan. (2009). A Reconfigurable 8T Ultra-Dynamic Voltage Scalable (U-DVS) SRAM in 65 nm CMOS. IEEE Journal of Solid-State Circuits. 44(11). 3163–3173. 99 indexed citations
18.
Sinangil, Mahmut E., Naveen Verma, & Anantha P. Chandrakasan. (2008). A reconfigurable 65nm SRAM achieving voltage scalability from 0.25&#x2013;1.2V and performance scalability from 20kHz&#x2013;200MHz. 282–285. 24 indexed citations
19.
Finchelstein, Daniel, et al.. (2008). A low-power 0.7-V H.264 720p video decoder. 173–176. 13 indexed citations
20.
Wilamowski, Bogdan M., Mahmut E. Sinangil, & Günhan Dündar. (2006). A Gray-Code Current Mode ADC Structure. 3. 35–38. 3 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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