Pranay Prabhat

493 citations
16 papers · 384 · h-index 8

Impact in

Papers in

    • Low-power high-performance VLSI design 13
    • Advancements in Semiconductor Devices and Circuit Design 6
    • Advanced Memory and Neural Computing 6
    • Semiconductor materials and devices 2
    • Advancements in PLL and VCO Technologies 2
    • Analog and Mixed-Signal Circuit Design 10

Pranay Prabhat

15 papers receiving 368 citations

Peers

Pranay Prabhat
Comparison fields: 5 of 42
  • Human-Computer Interaction 71
  • Hardware and Architecture 74
  • Electrical and Electronic Engineering 288
  • Cognitive Neuroscience 68
  • Biomedical Engineering 100
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Xueli Sun China
Dimitrios Rodopoulos Greece
Schekeb Fateh Switzerland
Charlotte Frenkel Belgium
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Luke Everson United States
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Citations per field
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Citations per year

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-authors

The 14 scholars most cited alongside Pranay Prabhat, 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 Pranay Prabhat Line = papers co-authored together Pranay Prabhat links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200585
2 201573
3 201867
4 201562
5 201730
6 202022
7 201712
8 20208
9 20226
10 20114
11 20194
12 20184
13 20193
14 20172
15 20192
16 20160

About Pranay Prabhat

Pranay Prabhat is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Hardware and Architecture, Cognitive Neuroscience and Human-Computer Interaction, having authored 16 papers that have together received 384 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (13 papers), Analog and Mixed-Signal Circuit Design (10 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Advanced Memory and Neural Computing (6 papers), Parallel Computing and Optimization Techniques (3 papers), Semiconductor materials and devices (2 papers), Advancements in PLL and VCO Technologies (2 papers) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Human-Computer Interaction (71 citations), Hardware and Architecture (74 citations), Electrical and Electronic Engineering (288 citations), Cognitive Neuroscience (68 citations) and Biomedical Engineering (100 citations). Pranay Prabhat has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include James Myers, Anand Savanth, David Flynn, David Howard, Shashanka Venkataramanan, J. S. Sahambi, Harshal B. Nemade, Alex S. Weddell, Tom J. Kázmierski and Sheng Yang. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Letters, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ePrints Soton (University of Southampton).

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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