Murat Manguoğlu

562 total citations
25 papers, 338 citations indexed

About

Murat Manguoğlu is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Murat Manguoğlu has authored 25 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 11 papers in Computational Mechanics and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Murat Manguoğlu's work include Matrix Theory and Algorithms (17 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Electromagnetic Scattering and Analysis (7 papers). Murat Manguoğlu is often cited by papers focused on Matrix Theory and Algorithms (17 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Electromagnetic Scattering and Analysis (7 papers). Murat Manguoğlu collaborates with scholars based in Türkiye, United States and Germany. Murat Manguoğlu's co-authors include Ahmed Sameh, Tayfun E. Tezduyar, Kenji Takizawa, Sunil Sathe, Faisal Saied, Bülent Karasözen, Cevdet Aykanat, Ananth Grama, Matthias Christen and Mehmet Koyutürk and has published in prestigious journals such as Journal of Applied Mechanics, Computers & Chemical Engineering and SIAM Journal on Scientific Computing.

In The Last Decade

Murat Manguoğlu

23 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murat Manguoğlu Türkiye 11 222 136 46 45 40 25 338
Isak Jonsson Sweden 8 56 0.3× 175 1.3× 114 2.5× 10 0.2× 40 1.0× 30 390
Daniel Fontijne Netherlands 8 78 0.4× 56 0.4× 20 0.4× 22 0.5× 9 0.2× 10 386
Srikara Pranesh United Kingdom 9 36 0.2× 145 1.1× 54 1.2× 7 0.2× 28 0.7× 13 251
M.C. Rivara Chile 5 182 0.8× 36 0.3× 10 0.2× 10 0.2× 7 0.2× 7 287
L.E. Turner Canada 9 86 0.4× 49 0.4× 25 0.5× 61 1.4× 6 0.1× 36 311
Nico Vervliet Belgium 9 125 0.6× 41 0.3× 30 0.7× 5 0.1× 35 0.9× 27 372
Zhisong Fu United States 7 70 0.3× 34 0.3× 53 1.2× 9 0.2× 10 0.3× 15 277
D. Goodman United States 8 57 0.3× 64 0.5× 6 0.1× 33 0.7× 27 0.7× 12 343
Otto Debals Belgium 9 157 0.7× 34 0.3× 21 0.5× 6 0.1× 25 0.6× 21 403
Holger Fehske Germany 5 62 0.3× 91 0.7× 216 4.7× 12 0.3× 4 0.1× 6 341

Countries citing papers authored by Murat Manguoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Murat Manguoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murat Manguoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Murat Manguoğlu. A scholar is included among the top collaborators of Murat Manguoğlu 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 Murat Manguoğlu. Murat Manguoğlu 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.
Manguoğlu, Murat, et al.. (2024). A distributed memory parallel randomized Kaczmarz for sparse system of equations. Concurrency and Computation Practice and Experience. 36(25).
2.
Manguoğlu, Murat, et al.. (2023). Enhancing Block Cimmino for Sparse Linear Systems with Dense Columns via Schur Complement. SIAM Journal on Scientific Computing. 45(2). C49–C72. 1 indexed citations
3.
Manguoğlu, Murat, et al.. (2022). Partitioning and Reordering for Spike-Based Distributed-Memory Parallel Gauss--Seidel. SIAM Journal on Scientific Computing. 44(2). C99–C123. 1 indexed citations
4.
Manguoğlu, Murat & Volker Mehrmann. (2021). A two-level iterative scheme for general sparse linear systems based on approximate skew-symmetrizers. ETNA - Electronic Transactions on Numerical Analysis. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 2 indexed citations
5.
Manguoğlu, Murat, et al.. (2019). A novel partitioning method for accelerating the block cimmino algorithm. Bilkent University Institutional Repository (Bilkent University). 9 indexed citations
6.
Manguoğlu, Murat, et al.. (2019). A hybrid single-source shortest path algorithm. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27(4). 2636–2647. 10 indexed citations
7.
Manguoğlu, Murat, et al.. (2018). A parallel bio-inspried shortest path algorithm. Computing. 101(8). 969–988. 5 indexed citations
8.
Manguoğlu, Murat, et al.. (2017). Parallel Minimum Norm Solution of Sparse Block Diagonal Column Overlapped Underdetermined Systems. ACM Transactions on Mathematical Software. 43(4). 1–21. 3 indexed citations
9.
Karasözen, Bülent, et al.. (2014). Adaptive discontinuous Galerkin methods for non-linear diffusion–convection–reaction equations. Computers & Chemical Engineering. 68. 24–37. 17 indexed citations
10.
Manguoğlu, Murat, Faisal Saied, Ahmed Sameh, & Ananth Grama. (2011). Performance Models for the Spike Banded Linear System Solver. Scientific Programming. 19(1). 13–25. 3 indexed citations
11.
Manguoğlu, Murat. (2011). A domain-decomposing parallel sparse linear system solver. Journal of Computational and Applied Mathematics. 236(3). 319–325. 13 indexed citations
12.
Dağ, Hasan, et al.. (2011). A New Preconditioner Design Based on Spectral Division for Power Flow Analysis. OpenMETU (Middle East Technical University).
13.
Manguoğlu, Murat, Kenji Takizawa, Ahmed Sameh, & Tayfun E. Tezduyar. (2011). A parallel sparse algorithm targeting arterial fluid mechanics computations. Computational Mechanics. 48(3). 377–384. 28 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.
Manguoğlu, Murat, Kenji Takizawa, Ahmed Sameh, & Tayfun E. Tezduyar. (2010). Nested and parallel sparse algorithms for arterial fluid mechanics computations with boundary layer mesh refinement. International Journal for Numerical Methods in Fluids. 65(1-3). 135–149. 40 indexed citations
16.
Manguoğlu, Murat, Mehmet Koyutürk, Ahmed Sameh, & Ananth Grama. (2010). Weighted Matrix Ordering and Parallel Banded Preconditioners for Iterative Linear System Solvers. SIAM Journal on Scientific Computing. 32(3). 1201–1216. 11 indexed citations
17.
Manguoğlu, Murat, Kenji Takizawa, Ahmed Sameh, & Tayfun E. Tezduyar. (2009). Solution of linear systems in arterial fluid mechanics computations with boundary layer mesh refinement. Computational Mechanics. 46(1). 83–89. 45 indexed citations
18.
Manguoğlu, Murat, Ahmed Sameh, Tayfun E. Tezduyar, & Sunil Sathe. (2008). A nested iterative scheme for computation of incompressible flows in long domains. Computational Mechanics. 43(1). 73–80. 47 indexed citations
19.
Manguoğlu, Murat, et al.. (2008). Analysis of the Truncated SPIKE Algorithm. SIAM Journal on Matrix Analysis and Applications. 30(4). 1500–1519. 20 indexed citations
20.
Naumov, Maxim, et al.. (2007). Reliability of Krylov Subspace Methods - A Practical Perspective II. Purdue e-Pubs (Purdue University System). 2 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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