Oğuz Selvitopi

535 total citations
21 papers, 204 citations indexed

About

Oğuz Selvitopi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Oğuz Selvitopi has authored 21 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Hardware and Architecture and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Oğuz Selvitopi's work include Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (8 papers) and Graph Theory and Algorithms (7 papers). Oğuz Selvitopi is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (8 papers) and Graph Theory and Algorithms (7 papers). Oğuz Selvitopi collaborates with scholars based in United States, Türkiye and Greece. Oğuz Selvitopi's co-authors include Cevdet Aykanat, Aydın Buluç, Katherine Yelick, Ata Türk, Ariful Azad, Kadir Akbudak, Leonid Oliker, Steven Hofmeyr, Jack Deslippe and John R. Gilbert and has published in prestigious journals such as BMC Bioinformatics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Future Generation Computer Systems.

In The Last Decade

Oğuz Selvitopi

20 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oğuz Selvitopi United States 9 101 78 65 61 36 21 204
Michael F. Ringenburg United States 7 127 1.3× 130 1.7× 87 1.3× 63 1.0× 36 1.0× 16 286
Viktor Prasanna United States 5 71 0.7× 64 0.8× 89 1.4× 30 0.5× 16 0.4× 29 172
Jerzy Proficz Poland 8 123 1.2× 90 1.2× 26 0.4× 19 0.3× 68 1.9× 23 218
William S. Moses United States 8 89 0.9× 139 1.8× 43 0.7× 23 0.4× 42 1.2× 17 192
Sebastian Schlag Germany 7 77 0.8× 62 0.8× 44 0.7× 44 0.7× 26 0.7× 13 177
Mehmet E. Belviranlı United States 11 166 1.6× 171 2.2× 41 0.6× 69 1.1× 52 1.4× 26 268
Xinfeng Xie United States 9 123 1.2× 158 2.0× 121 1.9× 127 2.1× 40 1.1× 15 306
Lluc Alvarez Spain 10 144 1.4× 153 2.0× 52 0.8× 24 0.4× 57 1.6× 34 223
Joël Falcou France 8 84 0.8× 107 1.4× 35 0.5× 14 0.2× 14 0.4× 22 165

Countries citing papers authored by Oğuz Selvitopi

Since Specialization
Citations

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

Fields of papers citing papers by Oğuz Selvitopi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oğuz Selvitopi

This figure shows the co-authorship network connecting the top 25 collaborators of Oğuz Selvitopi. A scholar is included among the top collaborators of Oğuz Selvitopi 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 Oğuz Selvitopi. Oğuz Selvitopi 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.
Selvitopi, Oğuz, Xiaoye Sherry Li, & Aydın Buluç. (2025). Performance-Portable Symbolic Factorization through Common Graph Operations. 804–812.
2.
Selvitopi, Oğuz, et al.. (2024). Sparsity-Aware Communication for Distributed Graph Neural Network Training. 117–126. 2 indexed citations
3.
Ding, Nan, Pieter Maris, Hai Ah Nam, et al.. (2024). Evaluating the potential of disaggregated memory systems for HPC applications. Concurrency and Computation Practice and Experience. 36(19). 2 indexed citations
4.
Selvitopi, Oğuz, Saliya Ekanayake, Georgios A. Pavlopoulos, et al.. (2022). Extreme-Scale Many-against-Many Protein Similarity Search. 4 indexed citations
5.
Ding, Nan, Samuel Williams, Hai Ah Nam, et al.. (2022). Methodology for Evaluating the Potential of Disaggregated Memory Systems. 1–11. 3 indexed citations
6.
Selvitopi, Oğuz, et al.. (2022). Parallel algorithms for masked sparse matrix-matrix products. 453–454. 5 indexed citations
7.
Azad, Ariful, Erik G. Boman, Aydın Buluç, et al.. (2021). EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. The International Journal of High Performance Computing Applications. 35(6). 553–571. 9 indexed citations
8.
Selvitopi, Oğuz, et al.. (2021). Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication. 431–442. 13 indexed citations
9.
Azad, Ariful, et al.. (2021). Combinatorial BLAS 2.0: Scaling Combinatorial Algorithms on Distributed-Memory Systems. IEEE Transactions on Parallel and Distributed Systems. 33(4). 989–1001. 20 indexed citations
10.
Yelick, Katherine, Aydın Buluç, Ariful Azad, et al.. (2020). The parallelism motifs of genomic data analysis. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2166). 20190394–20190394. 13 indexed citations
11.
Tang, Yuhang, et al.. (2020). A High-Throughput Solver for Marginalized Graph Kernels on GPU. arXiv (Cornell University). 728–738. 11 indexed citations
12.
Deslippe, Jack, Aydın Buluç, Oğuz Selvitopi, et al.. (2020). ADEPT: a domain independent sequence alignment strategy for gpu architectures. BMC Bioinformatics. 21(1). 406–406. 26 indexed citations
13.
Buluç, Aydın, Timothy G. Mattson, Scott McMillan, et al.. (2020). Considerations for a Distributed GraphBLAS API. 215–218. 3 indexed citations
14.
Selvitopi, Oğuz, et al.. (2020). Fast shared-memory streaming multilevel graph partitioning. Journal of Parallel and Distributed Computing. 147. 140–151. 8 indexed citations
15.
Selvitopi, Oğuz & Cevdet Aykanat. (2019). Regularizing irregularly sparse point-to-point communications. Bilkent University Institutional Repository (Bilkent University). 1–14. 4 indexed citations
16.
Selvitopi, Oğuz, et al.. (2018). Optimizing nonzero-based sparse matrix partitioning models via reducing latency. Journal of Parallel and Distributed Computing. 122. 145–158. 4 indexed citations
17.
Akbudak, Kadir, Oğuz Selvitopi, & Cevdet Aykanat. (2017). Partitioning Models for Scaling Parallel Sparse Matrix-Matrix Multiplication. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(3). 1–34. 17 indexed citations
18.
Selvitopi, Oğuz & Cevdet Aykanat. (2016). Reducing latency cost in 2D sparse matrix partitioning models. Parallel Computing. 57. 1–24. 8 indexed citations
19.
Selvitopi, Oğuz, et al.. (2016). A Recursive Hypergraph Bipartitioning Framework for Reducing Bandwidth and Latency Costs Simultaneously. IEEE Transactions on Parallel and Distributed Systems. 1–1. 5 indexed citations
20.
Selvitopi, Oğuz, et al.. (2016). Improving performance of sparse matrix dense matrix multiplication on large-scale parallel systems. Parallel Computing. 59. 71–96. 21 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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