Maxim Naumov
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Patrice CastonguayDheevatsa MudigereJonathan CohenGerhard KlimeckRajib RahmanFaisal SaiedStephen ClarkBenjamin P Haley
- Topics
- Matrix Theory and Algorithms (10 papers)Electromagnetic Scattering and Analysis (5 papers)Advanced Optimization Algorithms Research (5 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Maxim Naumov
23 papers receiving 635 citations
Peers
Comparison fields: 5 of 67
- Atomic and Molecular Physics, and Optics 199
- Electrical and Electronic Engineering 181
- Hardware and Architecture 154
- Computer Networks and Communications 154
- Computational Theory and Mathematics 149
Countries citing papers authored by Maxim Naumov
This map shows the geographic impact of Maxim Naumov'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 Maxim Naumov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Naumov more than expected).
Fields of papers citing papers by Maxim Naumov
This network shows the impact of papers produced by Maxim Naumov. 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 Maxim Naumov. The network helps show where Maxim Naumov may publish in the future.
Co-authorship network of co-authors of Maxim Naumov
This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Naumov. A scholar is included among the top collaborators of Maxim Naumov 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 Maxim Naumov. Maxim Naumov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 145 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | Parallel Graph Coloring with Applications to the Incomplete-LU Factorization on the GPU | 26 |
| 11 | 9 | |
| 12 | Parallel Incomplete-LU and Cholesky Factorization in the Preconditioned Iterative Methods on the GPU | 14 |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 13 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | Reliability of Krylov Subspace Methods - A Practical Perspective II | 2 |
| 19 | 156 | |
| 20 | 0 |
About Maxim Naumov
Maxim Naumov is a scholar working on Computational Mathematics, Numerical Analysis and Hardware and Architecture, having authored 26 papers that have together received 678 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (10 papers), Electromagnetic Scattering and Analysis (5 papers) and Advanced Optimization Algorithms Research (5 papers). The work is most often cited by research in Computational Mathematics (24 citations), Hardware and Architecture (154 citations) and Computational Theory and Mathematics (149 citations). Maxim Naumov has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Patrice Castonguay, Dheevatsa Mudigere, Jonathan Cohen, Gerhard Klimeck, Rajib Rahman, Faisal Saied, Stephen Clark, Benjamin P Haley, Timothy B. Boykin and Ahmed Sameh. Their work appears in journals such as Physical Review A, IEEE Transactions on Electron Devices and Applied Mathematics and Computation.
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.