Srikara Pranesh
- Computational Theory and Mathematics top 5%
- Statistics, Probability and Uncertainty top 5%
- Hardware and Architecture top 10%
- Civil and Structural Engineering
- Computational Mechanics
- Co-authors
- Nicholas J. HighamDebraj GhoshMawussi ZounonThéo MaryErin CarsonPierre BlanchardDesmond J. HighamLars Karlsson
- Topics
- Matrix Theory and Algorithms (7 papers)Numerical Methods and Algorithms (5 papers)Probabilistic and Robust Engineering Design (5 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringComputers & StructuresSIAM Journal on Scientific Computing
- Partner nations
- United KingdomIndiaSweden
In The Last Decade
Srikara Pranesh
13 papers receiving 240 citations
Peers
Comparison fields: 5 of 46
- Computational Theory and Mathematics 145
- Statistics, Probability and Uncertainty 54
- Hardware and Architecture 54
- Civil and Structural Engineering 36
- Computational Mechanics 36
Countries citing papers authored by Srikara Pranesh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 10 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 33 | |
| 6 | 21 | |
| 7 | 43 | |
| 8 | 43 | |
| 9 | 8 | |
| 10 | D2.6 Prototype Software for Eigenvalue Problem Solvers | 2 |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 33 |
About Srikara Pranesh
Srikara Pranesh is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Numerical Analysis, having authored 13 papers that have together received 251 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (7 papers), Numerical Methods and Algorithms (5 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Computational Mathematics (7 citations), Computational Theory and Mathematics (145 citations) and Hardware and Architecture (54 citations). Srikara Pranesh has collaborated with scholars based in United Kingdom, India and Sweden. Frequent co-authors include Nicholas J. Higham, Debraj Ghosh, Mawussi Zounon, Théo Mary, Erin Carson, Pierre Blanchard, Desmond J. Higham, Lars Karlsson and Bo Kågström. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computers & Structures and SIAM Journal on Scientific Computing.
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.