Srikara Pranesh

595 total citations
13 papers, 251 citations indexed

About

Srikara Pranesh is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics. According to data from OpenAlex, Srikara Pranesh has authored 13 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Srikara Pranesh's work include Matrix Theory and Algorithms (7 papers), Numerical Methods and Algorithms (5 papers) and Probabilistic and Robust Engineering Design (5 papers). Srikara Pranesh is often cited by papers focused on Matrix Theory and Algorithms (7 papers), Numerical Methods and Algorithms (5 papers) and Probabilistic and Robust Engineering Design (5 papers). Srikara Pranesh collaborates with scholars based in United Kingdom, India and Sweden. Srikara Pranesh's co-authors include Nicholas J. Higham, Debraj Ghosh, Mawussi Zounon, Pierre Blanchard, Théo Mary, Erin Carson, Desmond J. Higham, Lars Karlsson and Bo Kågström and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Computers & Structures and SIAM Journal on Scientific Computing.

In The Last Decade

Srikara Pranesh

13 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srikara Pranesh United Kingdom 9 145 54 54 36 36 13 251
Fabienne Jézéquel France 10 135 0.9× 33 0.6× 81 1.5× 10 0.3× 19 0.5× 24 253
Frédéric Guyomarc'h France 8 143 1.0× 11 0.2× 17 0.3× 23 0.6× 108 3.0× 18 253
Manish Malhotra United States 10 146 1.0× 25 0.5× 18 0.3× 18 0.5× 74 2.1× 17 381
Tarek A. El-Moselhy United States 9 59 0.4× 187 3.5× 17 0.3× 40 1.1× 11 0.3× 14 296
Jonas Ballani Germany 8 135 0.9× 56 1.0× 9 0.2× 14 0.4× 97 2.7× 12 343
Jean Vignes France 10 213 1.5× 38 0.7× 28 0.5× 6 0.2× 25 0.7× 36 357
Michael K.H. Fan United States 13 198 1.4× 83 1.5× 8 0.1× 31 0.9× 71 2.0× 34 519
Richard D. Neidinger United States 7 101 0.7× 16 0.3× 10 0.2× 13 0.4× 51 1.4× 18 320
Pasqua D’Ambra Italy 10 98 0.7× 15 0.3× 81 1.5× 2 0.1× 92 2.6× 42 257
Michael K. Sain United States 11 124 0.9× 7 0.1× 10 0.2× 26 0.7× 14 0.4× 49 395

Countries citing papers authored by Srikara Pranesh

Since Specialization
Citations

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

Fields of papers citing papers by Srikara Pranesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srikara Pranesh

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

All Works

13 of 13 papers shown
1.
Higham, Nicholas J., et al.. (2021). Numerical behavior of NVIDIA tensor cores. PeerJ Computer Science. 7. e330–e330. 22 indexed citations
2.
Higham, Nicholas J. & Srikara Pranesh. (2021). Exploiting Lower Precision Arithmetic in Solving Symmetric Positive Definite Linear Systems and Least Squares Problems. SIAM Journal on Scientific Computing. 43(1). A258–A277. 17 indexed citations
3.
Higham, Desmond J., Nicholas J. Higham, & Srikara Pranesh. (2021). Random Matrices Generating Large Growth in LU Factorization with Pivoting. SIAM Journal on Matrix Analysis and Applications. 42(1). 185–201. 10 indexed citations
4.
Pranesh, Srikara. (2020). Backward error and condition number of a generalized Sylvester equation, with application to the stochastic Galerkin method. Linear Algebra and its Applications. 594. 95–116. 1 indexed citations
5.
Blanchard, Pierre, et al.. (2020). Mixed Precision Block Fused Multiply-Add: Error Analysis and Application to GPU Tensor Cores. SIAM Journal on Scientific Computing. 42(3). C124–C141. 33 indexed citations
6.
Carson, Erin, Nicholas J. Higham, & Srikara Pranesh. (2020). Three-Precision GMRES-Based Iterative Refinement for Least Squares Problems. SIAM Journal on Scientific Computing. 42(6). A4063–A4083. 21 indexed citations
7.
Higham, Nicholas J., Srikara Pranesh, & Mawussi Zounon. (2019). Squeezing a Matrix into Half Precision, with an Application to Solving Linear Systems. SIAM Journal on Scientific Computing. 41(4). A2536–A2551. 43 indexed citations
8.
Higham, Nicholas J. & Srikara Pranesh. (2019). Simulating Low Precision Floating-Point Arithmetic. SIAM Journal on Scientific Computing. 41(5). C585–C602. 43 indexed citations
9.
Pranesh, Srikara & Debraj Ghosh. (2018). Cost reduction of stochastic Galerkin method by adaptive identification of significant polynomial chaos bases for elliptic equations. Computer Methods in Applied Mechanics and Engineering. 340. 54–69. 8 indexed citations
10.
Karlsson, Lars, et al.. (2018). D2.6 Prototype Software for Eigenvalue Problem Solvers. DiVA at Umeå University (Umeå University). 2 indexed citations
11.
Pranesh, Srikara & Debraj Ghosh. (2017). A FETI-DP based parallel hybrid stochastic finite element method for large stochastic systems. Computers & Structures. 195. 64–73. 6 indexed citations
12.
Pranesh, Srikara & Debraj Ghosh. (2016). Addressing the curse of dimensionality in SSFEM using the dependence of eigenvalues in KL expansion on domain size. Computer Methods in Applied Mechanics and Engineering. 311. 457–475. 12 indexed citations
13.
Pranesh, Srikara & Debraj Ghosh. (2014). Faster computation of the Karhunen–Loève expansion using its domain independence property. Computer Methods in Applied Mechanics and Engineering. 285. 125–145. 33 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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