Prakash Murali

1.2k total citations · 1 hit paper
21 papers, 448 citations indexed

About

Prakash Murali is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Prakash Murali has authored 21 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Hardware and Architecture and 6 papers in Computer Networks and Communications. Recurrent topics in Prakash Murali's work include Quantum Computing Algorithms and Architecture (9 papers), Parallel Computing and Optimization Techniques (7 papers) and Quantum Information and Cryptography (7 papers). Prakash Murali is often cited by papers focused on Quantum Computing Algorithms and Architecture (9 papers), Parallel Computing and Optimization Techniques (7 papers) and Quantum Information and Cryptography (7 papers). Prakash Murali collaborates with scholars based in United States, India and Switzerland. Prakash Murali's co-authors include Margaret Martonosi, Frederic T. Chong, Ali Javadi-Abhari, Jonathan M. Baker, C. Huerta Alderete, Nhung H. Nguyen, Norbert M. Linke, Yogish Sabharwal, Venkatesan T. Chakaravarthy and Fabrizio Petrini and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Prakash Murali

20 papers receiving 434 citations

Hit Papers

Noise-Adaptive Compiler M... 2019 2026 2021 2023 2019 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
Prakash Murali United States 10 360 103 96 91 84 21 448
Oded Padon United States 9 217 0.6× 125 1.2× 7 0.1× 101 1.1× 43 0.5× 28 388
Máire O’Neill United Kingdom 14 268 0.7× 84 0.8× 30 0.3× 77 0.8× 115 1.4× 28 498
Poulami Das India 11 190 0.5× 54 0.5× 48 0.5× 22 0.2× 60 0.7× 30 350
Yu Yu China 10 253 0.7× 32 0.3× 33 0.3× 50 0.5× 33 0.4× 47 361
Che–Rung Lee Taiwan 10 47 0.1× 32 0.3× 31 0.3× 75 0.8× 55 0.7× 54 298
Léo Ducas Netherlands 7 569 1.6× 85 0.8× 24 0.3× 34 0.4× 86 1.0× 15 680
Marcin Niemiec Poland 10 301 0.8× 33 0.3× 133 1.4× 9 0.1× 62 0.7× 40 406
Eddy Z. Zhang United States 11 128 0.4× 32 0.3× 20 0.2× 157 1.7× 50 0.6× 29 288
Vinod Grover United States 15 145 0.4× 51 0.5× 10 0.1× 488 5.4× 71 0.8× 25 579
Houzhen Wang China 10 264 0.7× 40 0.4× 94 1.0× 7 0.1× 76 0.9× 29 351

Countries citing papers authored by Prakash Murali

Since Specialization
Citations

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

Fields of papers citing papers by Prakash Murali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prakash Murali

This figure shows the co-authorship network connecting the top 25 collaborators of Prakash Murali. A scholar is included among the top collaborators of Prakash Murali 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 Prakash Murali. Prakash Murali 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
1.
Quetschlich, Nils, Mathias Soeken, Prakash Murali, & Robert Wille. (2024). Utilizing Resource Estimation for the Development of Quantum Computing Applications. 232–238. 1 indexed citations
2.
Smith, Kaitlin N., Gokul Subramanian Ravi, Prakash Murali, et al.. (2022). TimeStitch: Exploiting Slack to Mitigate Decoherence in Quantum Circuits. 4(1). 1–27. 9 indexed citations
3.
Murali, Prakash, Dripto M. Debroy, Kenneth R. Brown, & Margaret Martonosi. (2022). Toward systematic architectural design of near-term trapped ion quantum computers. Communications of the ACM. 65(3). 101–109. 6 indexed citations
4.
Ravi, Gokul Subramanian, Kaitlin N. Smith, Prakash Murali, & Frederic T. Chong. (2021). Adaptive job and resource management for the growing quantum cloud. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 301–312. 15 indexed citations
5.
Shi, Yunong, Pranav Gokhale, Prakash Murali, et al.. (2020). Resource-Efficient Quantum Computing by Breaking Abstractions. Proceedings of the IEEE. 108(8). 1353–1370. 21 indexed citations
6.
Murali, Prakash, et al.. (2020). Architecting Noisy Intermediate-Scale Quantum Computers: A Real-System Study. IEEE Micro. 40(3). 73–80. 9 indexed citations
7.
Murali, Prakash, Ali Javadi-Abhari, Frederic T. Chong, & Margaret Martonosi. (2019). Formal constraint-based compilation for noisy intermediate-scale quantum systems. Microprocessors and Microsystems. 66. 102–112. 13 indexed citations
8.
Murali, Prakash, Jonathan M. Baker, Ali Javadi-Abhari, Frederic T. Chong, & Margaret Martonosi. (2019). Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers. 1015–1029. 202 indexed citations breakdown →
9.
Murali, Prakash, et al.. (2019). Full-stack, real-system quantum computer studies. 527–540. 70 indexed citations
10.
Murali, Prakash, et al.. (2019). Analysis of redesigned brake shoe. Materials Today Proceedings. 22. 507–513. 2 indexed citations
11.
Murali, Prakash, et al.. (2017). Coupling a small battery with a datacenter for frequency regulation. 1–5. 4 indexed citations
12.
Murali, Prakash & Sathish Vadhiyar. (2017). Metascheduling of HPC Jobs in Day-Ahead Electricity Markets. IEEE Transactions on Parallel and Distributed Systems. 29(3). 614–627. 2 indexed citations
13.
Chakaravarthy, Venkatesan T., et al.. (2017). On Optimizing Distributed Tucker Decomposition for Dense Tensors. 1038–1047. 21 indexed citations
14.
Chakaravarthy, Venkatesan T., Fabio Checconi, Prakash Murali, Fabrizio Petrini, & Yogish Sabharwal. (2016). Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems. IEEE Transactions on Parallel and Distributed Systems. 28(7). 2031–2045. 35 indexed citations
15.
Murali, Prakash, et al.. (2015). Vedic Multiplier in VLSI for High SpeedApplications. International Journal of Innovative Research in Computer and Communication Engineering. 3(3). 2353–2356. 1 indexed citations
16.
Murali, Prakash, et al.. (2015). Vehicle Handling Sensitivity Analysis through Numerical Simulation in Commercial Vehicles. SAE technical papers on CD-ROM/SAE technical paper series. 1 indexed citations
17.
Murali, Prakash & Sathish Vadhiyar. (2015). Metascheduling of HPC Jobs in Day-Ahead Electricity Markets. 386–395. 2 indexed citations
18.
Murali, Prakash, et al.. (2015). Matching Application Signatures for Performance Predictions Using a Single Execution. 1161–1170. 13 indexed citations
19.
Murali, Prakash & Sathish Vadhiyar. (2015). Qespera: an adaptive framework for prediction of queue waiting times in supercomputer systems. Concurrency and Computation Practice and Experience. 28(9). 2685–2710. 6 indexed citations
20.
Murali, Prakash, et al.. (2013). Correction of Logical Errors in C programs using Genetic Algorithm Techniques. 1 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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