Goran Flegar

462 total citations
21 papers, 253 citations indexed

About

Goran Flegar is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Goran Flegar has authored 21 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 11 papers in Hardware and Architecture and 7 papers in Computer Networks and Communications. Recurrent topics in Goran Flegar's work include Matrix Theory and Algorithms (13 papers), Parallel Computing and Optimization Techniques (11 papers) and Numerical Methods and Algorithms (7 papers). Goran Flegar is often cited by papers focused on Matrix Theory and Algorithms (13 papers), Parallel Computing and Optimization Techniques (11 papers) and Numerical Methods and Algorithms (7 papers). Goran Flegar collaborates with scholars based in Spain, Germany and United States. Goran Flegar's co-authors include Hartwig Anzt, Enrique S. Quintana–Ort́ı, Jack Dongarra, Terry Cojean, Yu‐Hsiang Tsai, Nicholas J. Higham, Yen‐Chen Chen, Weichung Wang, Stanimire Tomov and Andrés E. Tomás and has published in prestigious journals such as ACM Transactions on Mathematical Software, Parallel Computing and Journal of Computational Science.

In The Last Decade

Goran Flegar

21 papers receiving 247 citations

Peers

Goran Flegar

CTM

CNC

Moritz Kreutzer Germany

Tingxing Dong United States

Yozo Hida United States

Christof Vömel United States

Mawussi Zounon United Kingdom

Andrés E. Tomás Spain

Jonathan Hogg United Kingdom

Marián Vajteršic Slovakia

Pavel Tvrdı́k Czechia

Justin Holewinski United States

Moritz Kreutzer Germany

Goran Flegar

110 ×0.8

CTM

171 ×1.3

127 ×1.5

CNC

35 ×0.7

32 ×1.0

Citations per year, relative to Goran Flegar Goran Flegar (= 1×) peers Moritz Kreutzer

Countries citing papers authored by Goran Flegar

Since Specialization

Citations

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

Fields of papers citing papers by Goran Flegar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goran Flegar

This figure shows the co-authorship network connecting the top 25 collaborators of Goran Flegar. A scholar is included among the top collaborators of Goran Flegar 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 Goran Flegar. Goran Flegar 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

Anzt, Hartwig, et al.. (2022). Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing. ACM Transactions on Mathematical Software. 48(1). 1–33. 39 indexed citations

Flegar, Goran, Hartwig Anzt, Terry Cojean, & Enrique S. Quintana–Ort́ı. (2021). Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software. ACM Transactions on Mathematical Software. 47(2). 1–28. 12 indexed citations

Anzt, Hartwig, et al.. (2020). Ginkgo: A high performance numerical linear algebra library. The Journal of Open Source Software. 5(52). 2260–2260. 17 indexed citations

Cojean, Terry, et al.. (2020). Acceleration of PageRank with Customized Precision Based on Mantissa Segmentation. Repositori UJI (Universitat Jaume I). 7(1). 1–19. 8 indexed citations

Anzt, Hartwig, Terry Cojean, Yen‐Chen Chen, et al.. (2020). Load-balancing Sparse Matrix Vector Product Kernels on GPUs. Repositori UJI (Universitat Jaume I). 7(1). 1–26. 28 indexed citations

Cojean, Terry, et al.. (2019). A customized precision format based on mantissa segmentation for accelerating sparse linear algebra. Concurrency and Computation Practice and Experience. 32(15). 8 indexed citations

Anzt, Hartwig, et al.. (2019). Toward a modular precision ecosystem for high-performance computing. The International Journal of High Performance Computing Applications. 33(6). 1069–1078. 11 indexed citations

Anzt, Hartwig & Goran Flegar. (2019). Are we Doing the Right Thing? — A Critical Analysis of the Academic HPC Community. 102. 739–745. 1 indexed citations

Anzt, Hartwig, Yen‐Chen Chen, Terry Cojean, et al.. (2019). Towards Continuous Benchmarking. Research Explorer (The University of Manchester). 1–11. 6 indexed citations

10.

Flegar, Goran, et al.. (2019). FloatX. ACM Transactions on Mathematical Software. 45(4). 1–23. 14 indexed citations

11.

Anzt, Hartwig, et al.. (2019). ParILUT - A Parallel Threshold ILU for GPUs. Repository KITopen (Karlsruhe Institute of Technology). 231–241. 6 indexed citations

12.

Anzt, Hartwig, Jack Dongarra, Goran Flegar, Nicholas J. Higham, & Enrique S. Quintana–Ort́ı. (2018). Adaptive precision in block‐Jacobi preconditioning for iterative sparse linear system solvers. Concurrency and Computation Practice and Experience. 31(6). 39 indexed citations

13.

Anzt, Hartwig, et al.. (2018). Variable-Size Batched Condition Number Calculation on GPUs. Repository KITopen (Karlsruhe Institute of Technology). 132–139. 1 indexed citations

14.

Anzt, Hartwig, Jack Dongarra, Goran Flegar, & Enrique S. Quintana–Ort́ı. (2018). Variable-size batched Gauss–Jordan elimination for block-Jacobi preconditioning on graphics processors. Parallel Computing. 81. 131–146. 16 indexed citations

15.

Anzt, Hartwig, Jack Dongarra, Goran Flegar, Enrique S. Quintana–Ort́ı, & Andrés E. Tomás. (2017). Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning. Procedia Computer Science. 108. 1783–1792. 4 indexed citations

16.

Anzt, Hartwig, Jack Dongarra, Goran Flegar, & Enrique S. Quintana–Ort́ı. (2017). Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs. 1–10. 19 indexed citations

17.

Anzt, Hartwig, Jack Dongarra, Goran Flegar, & Enrique S. Quintana–Ort́ı. (2017). Variable-Size Batched LU for Small Matrices and Its Integration into Block-Jacobi Preconditioning. 91–100. 6 indexed citations

18.

Flegar, Goran & Hartwig Anzt. (2017). Overcoming Load Imbalance for Irregular Sparse Matrices. Repository KITopen (Karlsruhe Institute of Technology). 10 indexed citations

19.

Aliaga, José I., et al.. (2017). Communication in task‐parallel ILU‐preconditioned CG solvers using MPI + OmpSs. Concurrency and Computation Practice and Experience. 29(21). 3 indexed citations

20.

Anzt, Hartwig, et al.. (2017). Flexible batched sparse matrix-vector product on GPUs. 1–8. 4 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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