Bora Uçar

2.0k total citations
35 papers, 543 citations indexed

About

Bora Uçar is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Bora Uçar has authored 35 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 15 papers in Computational Theory and Mathematics and 14 papers in Hardware and Architecture. Recurrent topics in Bora Uçar's work include Interconnection Networks and Systems (10 papers), Parallel Computing and Optimization Techniques (10 papers) and VLSI and FPGA Design Techniques (9 papers). Bora Uçar is often cited by papers focused on Interconnection Networks and Systems (10 papers), Parallel Computing and Optimization Techniques (10 papers) and VLSI and FPGA Design Techniques (9 papers). Bora Uçar collaborates with scholars based in France, Türkiye and United States. Bora Uçar's co-authors include Cevdet Aykanat, Kamer Kaya, Ümit V. Çatalyürek, Daniel Ruiz, Philip A. Knight, Iain Duff, Mehmet Deveci, Yves Robert, Patrick Amestoy and Anne Benoît and has published in prestigious journals such as SIAM Review, Computers & Operations Research and SIAM Journal on Scientific Computing.

In The Last Decade

Bora Uçar

31 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bora Uçar France 12 289 194 148 120 104 35 543
Harry A. G. Wijshoff Netherlands 17 459 1.6× 558 2.9× 108 0.7× 149 1.2× 91 0.9× 67 794
Yogish Sabharwal India 16 336 1.2× 180 0.9× 128 0.9× 122 1.0× 48 0.5× 61 727
Sven Verdoolaege Belgium 14 384 1.3× 570 2.9× 63 0.4× 167 1.4× 82 0.8× 36 805
Ali Pınar United States 14 453 1.6× 280 1.4× 99 0.7× 121 1.0× 128 1.2× 42 906
A. Gacic United States 6 251 0.9× 418 2.2× 78 0.5× 143 1.2× 74 0.7× 9 703
Tobias Grosser Switzerland 14 399 1.4× 631 3.3× 105 0.7× 106 0.9× 88 0.8× 46 761
A.T. Chronopoulos United States 15 250 0.9× 141 0.7× 91 0.6× 350 2.9× 78 0.8× 49 756
Oded Schwartz Israel 17 534 1.8× 497 2.6× 46 0.3× 294 2.5× 138 1.3× 44 969
Bryan Singer United States 6 277 1.0× 548 2.8× 95 0.6× 191 1.6× 92 0.9× 9 695
Larry Carter United States 17 480 1.7× 509 2.6× 68 0.5× 81 0.7× 45 0.4× 48 741

Countries citing papers authored by Bora Uçar

Since Specialization
Citations

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

Fields of papers citing papers by Bora Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bora Uçar

This figure shows the co-authorship network connecting the top 25 collaborators of Bora Uçar. A scholar is included among the top collaborators of Bora Uçar 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 Bora Uçar. Bora Uçar 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.
Uçar, Bora, et al.. (2022). Algorithms and Data Structures for Hyperedge Queries. ACM Journal of Experimental Algorithmics. 27. 1–23.
2.
Kaya, Kamer, et al.. (2020). Scaling matrices and counting the perfect matchings in graphs. Discrete Applied Mathematics. 308. 130–146.
3.
Benoît, Anne, et al.. (2019). A Scalable Clustering-Based Task Scheduler for Homogeneous Processors Using DAG Partitioning. HAL (Le Centre pour la Communication Scientifique Directe). 26 indexed citations
4.
Kaya, Kamer, et al.. (2018). Further notes on Birkhoff–von Neumann decomposition of doubly stochastic matrices. Linear Algebra and its Applications. 554. 68–78. 9 indexed citations
5.
Uçar, Bora, et al.. (2018). Parallel Candecomp/Parafac Decomposition of Sparse Tensors Using Dimension Trees. SIAM Journal on Scientific Computing. 40(1). C99–C130. 27 indexed citations
6.
Lambert, Thomas, et al.. (2017). Scheduling series-parallel task graphs to minimize peak memory. Theoretical Computer Science. 707. 1–23. 9 indexed citations
7.
Uçar, Bora, et al.. (2016). Notes on Birkhoff–von Neumann decomposition of doubly stochastic matrices. Linear Algebra and its Applications. 497. 108–115. 30 indexed citations
8.
Langou, Julien, et al.. (2016). A backward/forward recovery approach for the preconditioned conjugate gradient method. Journal of Computational Science. 17. 522–534. 7 indexed citations
9.
Kaya, Kamer, et al.. (2015). Two approximation algorithms for bipartite matching on multicore architectures. Journal of Parallel and Distributed Computing. 85. 62–78. 3 indexed citations
10.
Knight, Philip A., Daniel Ruiz, & Bora Uçar. (2014). A Symmetry Preserving Algorithm for Matrix Scaling. SIAM Journal on Matrix Analysis and Applications. 35(3). 931–955. 31 indexed citations
11.
Deveci, Mehmet, Kamer Kaya, Bora Uçar, & Ümit V. Çatalyürek. (2014). Hypergraph partitioning for multiple communication cost metrics: Model and methods. Journal of Parallel and Distributed Computing. 77. 69–83. 35 indexed citations
12.
Amestoy, Patrick, Iain Duff, Jean-Yves L’Excellent, et al.. (2012). On Computing Inverse Entries of a Sparse Matrix in an Out-of-Core Environment. SIAM Journal on Scientific Computing. 34(4). A1975–A1999. 29 indexed citations
13.
Uçar, Bora & Ümit V. Çatalyürek. (2010). On the Scalability of Hypergraph Models for Sparse Matrix Partitioning. HAL (Le Centre pour la Communication Scientifique Directe). 47. 593–600. 2 indexed citations
14.
Duff, Iain & Bora Uçar. (2010). On the Block Triangular Form of Symmetric Matrices. SIAM Review. 52(3). 455–470. 8 indexed citations
15.
Çatalyürek, Ümit V., Cevdet Aykanat, & Bora Uçar. (2010). On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe. SIAM Journal on Scientific Computing. 32(2). 656–683. 76 indexed citations
16.
Rouet, François-Henry, Patrick Amestoy, & Bora Uçar. (2009). On computing arbitrary entries of the inverse of a matrix. 1 indexed citations
17.
Kaya, Kamer & Bora Uçar. (2009). EXACT ALGORITHMS FOR A TASK ASSIGNMENT PROBLEM. Parallel Processing Letters. 19(3). 451–465. 6 indexed citations
18.
Uçar, Bora & Cevdet Aykanat. (2007). Revisiting Hypergraph Models for Sparse Matrix Partitioning. SIAM Review. 49(4). 595–603. 29 indexed citations
19.
Uçar, Bora, et al.. (2005). Task assignment in heterogeneous computing systems. Journal of Parallel and Distributed Computing. 66(1). 32–46. 94 indexed citations
20.
Cambazoğlu, B. Barla, et al.. (2005). SE4SEE: A grid-enabled search engine for South-East Europe. Bilkent University Institutional Repository (Bilkent University). 1 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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