Pranay Prabhat

493 total citations
16 papers, 384 citations indexed

About

Pranay Prabhat is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, Pranay Prabhat has authored 16 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 11 papers in Biomedical Engineering and 3 papers in Hardware and Architecture. Recurrent topics in Pranay Prabhat's work include Low-power high-performance VLSI design (13 papers), Analog and Mixed-Signal Circuit Design (10 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Pranay Prabhat is often cited by papers focused on Low-power high-performance VLSI design (13 papers), Analog and Mixed-Signal Circuit Design (10 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Pranay Prabhat collaborates with scholars based in United Kingdom, United States and India. Pranay Prabhat's co-authors include James Myers, Anand Savanth, David Flynn, David Howard, Shashanka Venkataramanan, Harshal B. Nemade, J. S. Sahambi, Tom J. Kázmierski, Alex S. Weddell and Sheng Yang and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Solid-State Circuits Letters.

In The Last Decade

Pranay Prabhat

15 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pranay Prabhat United Kingdom	8	288	100	74	71	68	16	384
Charlotte Frenkel Belgium	10	375 1.3×	75 0.8×	29 0.4×	32 0.5×	143 2.1×	32	489
Xueli Sun China	11	76 0.3×	190 1.9×	34 0.5×	63 0.9×	62 0.9×	28	399
Mohamed M. Sabry United States	8	278 1.0×	21 0.2×	47 0.6×	21 0.3×	20 0.3×	14	381
Renzo Andri Switzerland	9	272 0.9×	111 1.1×	46 0.6×	5 0.1×	31 0.5×	20	449
Taegeun Yoo Singapore	12	604 2.1×	90 0.9×	116 1.6×	9 0.1×	5 0.1×	30	665
Luke Everson United States	9	160 0.6×	251 2.5×	28 0.4×	12 0.2×	73 1.1×	21	451
Dimitrios Rodopoulos Greece	9	187 0.6×	49 0.5×	48 0.6×	24 0.3×	52 0.8×	34	326
Juha Häkkinen Finland	11	233 0.8×	142 1.4×	25 0.3×	5 0.1×	9 0.1×	44	375
Xiu Ma China	8	51 0.2×	255 2.5×	12 0.2×	25 0.4×	96 1.4×	19	390

Countries citing papers authored by Pranay Prabhat

Since Specialization

Citations

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

Fields of papers citing papers by Pranay Prabhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranay Prabhat

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

All Works

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16 of 16 papers shown

Weddell, Alex S., et al.. (2022). Pragmatic Memory-System Support for Intermittent Computing Using Emerging Nonvolatile Memory. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(1). 95–108. 6 indexed citations

Prabhat, Pranay, et al.. (2020). 27.2 M0N0: A Performance-Regulated 0.8-to-38MHz DVFS ARM Cortex-M33 SIMD MCU with 10nW Sleep Power. 422–424. 22 indexed citations

Prabhat, Pranay, et al.. (2020). A Supply Voltage Control Method for Performance Guaranteed Ultra-Low-Power Microcontroller. IEEE Journal of Solid-State Circuits. 56(2). 601–611. 8 indexed citations

Savanth, Anand, et al.. (2019). A 0.98-nW/kHz 33-kHz Fully Integrated Subthreshold-Region Operation RC Oscillator With Forward-Body-Biasing. IEEE Solid-State Circuits Letters. 2(9). 175–178. 3 indexed citations

Jeloka, Supreet, et al.. (2019). A 65nm switched source line sub-threshold ROM using data encoding, with 0.3V V_min and 47fJ/b access energy. 1–6. 2 indexed citations

Savanth, Anand, et al.. (2019). A 0.98-nW/kHz 33-kHz Fully Integrated Subthreshold-Region Operation RC Oscillator With Forward-Body-Biasing. 1–4. 4 indexed citations

Savanth, Anand, et al.. (2018). Ultra-Low Power 18-Transistor Fully Static Contention-Free Single-Phase Clocked Flip-Flop in 65-nm CMOS. IEEE Journal of Solid-State Circuits. 54(2). 550–559. 67 indexed citations

Prabhat, Pranay, et al.. (2018). A bulk 65nm Cortex-M0+ SoC with All-Digital Forward Body Bias for 4.3X Subthreshold Speedup. 183–186. 4 indexed citations

Savanth, Anand, et al.. (2017). Evaluation and analysis of single-phase clock flip-flops for NTV applications. ePrints Soton (University of Southampton). 1–6. 2 indexed citations

10.

Myers, James, et al.. (2017). A 12.4pJ/cycle sub-threshold, 16pJ/cycle near-threshold ARM Cortex-M0+ MCU with autonomous SRPG/DVFS and temperature tracking clocks. 30 indexed citations

11.

Prabhat, Pranay, et al.. (2017). Unconventional Layout Techniques for a High Performance, Low Variability Subthreshold Standard Cell Library. 19–24. 12 indexed citations

12.

Myers, James, et al.. (2016). Design challenges for near and sub-threshold operation: A case study with an ARM Cortex-M0+ based WSN subsystem. 101. 56–63.

13.

Myers, James, et al.. (2015). A Subthreshold ARM Cortex-M0+ Subsystem in 65 nm CMOS for WSN Applications with 14 Power Domains, 10T SRAM, and Integrated Voltage Regulator. IEEE Journal of Solid-State Circuits. 51(1). 31–44. 73 indexed citations

14.

Myers, James, et al.. (2015). 8.1 An 80nW retention 11.7pJ/cycle active subthreshold ARM Cortex-M0+ subsystem in 65nm CMOS for WSN applications. 1–3. 62 indexed citations

15.

Prabhat, Pranay, et al.. (2011). Low power memory implementation for a GHz+ Dual Core ARM Cortex A9 processor on a high-K metal gate 32nm low power process. 1–4. 4 indexed citations

16.

Venkataramanan, Shashanka, et al.. (2005). Biomedical instrumentation based on electrooculogram (eog) signal processing and application to a hospital alarm system. 85 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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