Maxim Naumov

2.5k total citations
26 papers, 678 citations indexed

About

Maxim Naumov is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Numerical Analysis. According to data from OpenAlex, Maxim Naumov has authored 26 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 7 papers in Computer Networks and Communications and 7 papers in Numerical Analysis. Recurrent topics in Maxim Naumov's work include Matrix Theory and Algorithms (10 papers), Electromagnetic Scattering and Analysis (5 papers) and Advanced Optimization Algorithms Research (5 papers). Maxim Naumov is often cited by papers focused on Matrix Theory and Algorithms (10 papers), Electromagnetic Scattering and Analysis (5 papers) and Advanced Optimization Algorithms Research (5 papers). Maxim Naumov collaborates with scholars based in United States, Brazil and France. Maxim Naumov's co-authors include Dheevatsa Mudigere, Patrice Castonguay, Jonathan Cohen, Faisal Saied, Benjamin P Haley, Gerhard Klimeck, Rajib Rahman, Stephen Clark, Shaikh Ahmed and Marta Prada and has published in prestigious journals such as Physical Review A, IEEE Transactions on Electron Devices and Applied Mathematics and Computation.

In The Last Decade

Maxim Naumov

23 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maxim Naumov United States	11	199	181	154	154	149	26	678
Tadao Nakamura Japan	14	138 0.7×	108 0.6×	75 0.5×	110 0.7×	89 0.6×	115	646
Aparna Chandramowlishwaran United States	13	146 0.7×	147 0.8×	255 1.7×	240 1.6×	36 0.2×	38	617
Ichitaro Yamazaki United States	15	117 0.6×	50 0.3×	263 1.7×	173 1.1×	329 2.2×	76	666
Mark Gates United States	14	58 0.3×	45 0.2×	251 1.6×	187 1.2×	156 1.0×	50	622
Paolo Bientinesi Germany	13	55 0.3×	49 0.3×	344 2.2×	289 1.9×	180 1.2×	56	652
Paul Messina United States	15	58 0.3×	127 0.7×	277 1.8×	389 2.5×	50 0.3×	39	708
Karl Rupp Austria	14	77 0.4×	314 1.7×	131 0.9×	103 0.7×	99 0.7×	49	653
Andrew Cleary United States	8	82 0.4×	111 0.6×	262 1.7×	243 1.6×	274 1.8×	14	703
Ahmad Abdelfattah United States	14	75 0.4×	42 0.2×	248 1.6×	165 1.1×	143 1.0×	48	437
Liang Sheng China	12	56 0.3×	72 0.4×	229 1.5×	371 2.4×	43 0.3×	57	921

Countries citing papers authored by Maxim Naumov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Dhanotia, Abhishek, et al.. (2025). DCPerf: An Open-Source, Battle-Tested Performance Benchmark Suite for Datacenter Workloads. 1717–1730. 1 indexed citations

Naumov, Maxim, et al.. (2025). An Empirical Study of Microscaling Formats for Low-Precision LLM Training. 1–8.

Naumov, Maxim, et al.. (2024). STUDY OF THE EFFECT OF PROPAGATION COEFFICIENTON DISTANCE, TIME AND DATA RATE OF LORA WIRELESS COMMUNICATION. 30–46. 1 indexed citations

Ardestani, Ehsan K., Changkyu Kim, Seung Jae Lee, et al.. (2022). Supporting Massive DLRM Inference through Software Defined Memory. 302–312. 8 indexed citations

Park, Jongsoo, Ping Tang, Jianyu Huang, et al.. (2021). Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro. 41(5). 93–100. 5 indexed citations

Naumov, Maxim, et al.. (2021). Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. 2786–2791. 26 indexed citations

Gupta, Udit, Carole-Jean Wu, Xiaodong Wang, et al.. (2020). The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. 488–501. 145 indexed citations

Mudigere, Dheevatsa, et al.. (2020). Building Recommender Systems with PyTorch. 3525–3526. 6 indexed citations

Petiton, Serge G., et al.. (2017). Parallel Modularity Clustering. Procedia Computer Science. 108. 1793–1802. 5 indexed citations

10.

Naumov, Maxim, Patrice Castonguay, & Jonathan Cohen. (2015). Parallel Graph Coloring with Applications to the Incomplete-LU Factorization on the GPU. 26 indexed citations

11.

Naumov, Maxim. (2012). Preconditioned Block‐Iterative Methods on GPUs. PAMM. 12(1). 11–14. 9 indexed citations

12.

Naumov, Maxim. (2011). On the modification of an eigenvalue problem that preserves an eigenspace. Journal of Computational and Applied Mathematics. 235(18). 5432–5440. 1 indexed citations

13.

Naumov, Maxim. (2011). Parallel Solution of Sparse Triangular Linear Systems in the Preconditioned Iterative Methods on the GPU. 81 indexed citations

14.

Naumov, Maxim, Murat Manguoğlu, & Ahmed Sameh. (2010). A tearing-based hybrid parallel sparse linear system solver. Journal of Computational and Applied Mathematics. 234(10). 3025–3038. 7 indexed citations

15.

Kais, Sabre, et al.. (2010). Exact calculation of entanglement in a19-site two-dimensional spin system. Physical Review A. 81(2). 13 indexed citations

16.

Naumov, Maxim & Ahmed Sameh. (2008). A tearing-based hybrid parallel banded linear system solver. Journal of Computational and Applied Mathematics. 226(2). 306–318. 10 indexed citations

17.

Naumov, Maxim, Seungwon Lee, Benjamin P Haley, et al.. (2008). Eigenvalue solvers for atomistic simulations of electronic structures with NEMO-3D. Journal of Computational Electronics. 7(3). 297–300. 5 indexed citations

18.

Naumov, Maxim, et al.. (2007). Reliability of Krylov Subspace Methods - A Practical Perspective II. Purdue e-Pubs (Purdue University System). 2 indexed citations

19.

Klimeck, Gerhard, Shaikh Ahmed, Hansang Bae, et al.. (2007). Atomistic Simulation of Realistically Sized Nanodevices Using NEMO 3-D—Part I: Models and Benchmarks. IEEE Transactions on Electron Devices. 54(9). 2079–2089. 156 indexed citations

20.

Naumov, Maxim, et al.. (2003). Dependence of the stability of semi-implicit atmospheric models on reference temperature profile. Applied Numerical Mathematics. 47(3-4). 325–343.

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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