Aydın Buluç

5.9k total citations · 1 hit paper
88 papers, 2.5k citations indexed

About

Aydın Buluç is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Aydın Buluç has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 39 papers in Hardware and Architecture and 32 papers in Computer Networks and Communications. Recurrent topics in Aydın Buluç's work include Graph Theory and Algorithms (50 papers), Parallel Computing and Optimization Techniques (38 papers) and Interconnection Networks and Systems (19 papers). Aydın Buluç is often cited by papers focused on Graph Theory and Algorithms (50 papers), Parallel Computing and Optimization Techniques (38 papers) and Interconnection Networks and Systems (19 papers). Aydın Buluç collaborates with scholars based in United States, United Kingdom and Greece. Aydın Buluç's co-authors include John R. Gilbert, Ariful Azad, Kamesh Madduri, Leonid Oliker, Matteo Frigo, Charles E. Leiserson, Jeremy T. Fineman, Samuel Williams, James Demmel and Carl Yang and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Aydın Buluç

82 papers receiving 2.5k citations

Hit Papers

Parallel sparse matrix-vector and matrix-transpose-vector... 2009 2026 2014 2020 2009 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks
    2009 266 citations Aydın Buluç, John R. Gilbert et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aydın Buluç United States 27 1.1k 1.1k 1.1k 844 336 88 2.5k
David A. Bader United States 33 1.7k 1.6× 961 0.9× 1.4k 1.3× 1.3k 1.5× 619 1.8× 203 3.9k
Maya Gokhale United States 26 1.4k 1.2× 1.6k 1.5× 426 0.4× 466 0.6× 332 1.0× 136 2.8k
Martin Herbordt United States 26 664 0.6× 968 0.9× 325 0.3× 505 0.6× 150 0.4× 159 2.0k
Peter Y. K. Cheung United Kingdom 34 818 0.7× 1.7k 1.6× 634 0.6× 473 0.6× 109 0.3× 249 3.6k
Guang R. Gao United States 32 1.9k 1.7× 2.2k 2.0× 129 0.1× 482 0.6× 313 0.9× 272 3.3k
Guangming Tan China 18 571 0.5× 587 0.5× 213 0.2× 343 0.4× 94 0.3× 96 1.1k
Katherine Yelick United States 39 4.7k 4.3× 5.0k 4.6× 469 0.4× 866 1.0× 851 2.5× 149 6.8k
Emilio L. Zapata Spain 22 505 0.5× 578 0.5× 481 0.4× 296 0.4× 120 0.4× 192 1.9k
Yasuaki Ito Japan 17 283 0.3× 363 0.3× 428 0.4× 592 0.7× 112 0.3× 179 1.4k
Wu-chun Feng United States 37 4.0k 3.7× 2.9k 2.6× 359 0.3× 750 0.9× 1.7k 5.0× 300 5.6k

Countries citing papers authored by Aydın Buluç

Since Specialization
Citations

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

Fields of papers citing papers by Aydın Buluç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aydın Buluç

This figure shows the co-authorship network connecting the top 25 collaborators of Aydın Buluç. A scholar is included among the top collaborators of Aydın Buluç 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 Aydın Buluç. Aydın Buluç 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.
3.
Baltoumas, Fotis A., Evangelos Karatzas, Ioannis Iliopoulos, et al.. (2025). metagRoot: a comprehensive database of protein families associated with plant root microbiomes. Nucleic Acids Research. 54(D1). D1733–D1742. 1 indexed citations
4.
Ibrahim, Khaled Z., et al.. (2024). DyG-DPCD: A Distributed Parallel Community Detection Algorithm for Large-Scale Dynamic Graphs. International Journal of Parallel Programming. 53(1).
5.
6.
Selvitopi, Oğuz, et al.. (2024). Sparsity-Aware Communication for Distributed Graph Neural Network Training. 117–126. 2 indexed citations
7.
Buluç, Aydın, et al.. (2024). RDMA-Based Algorithms for Sparse Matrix Multiplication on GPUs. 225–235. 1 indexed citations
8.
Buluç, Aydın, et al.. (2023). Exploring temporal community evolution: algorithmic approaches and parallel optimization for dynamic community detection. Applied Network Science. 8(1). 9 indexed citations
9.
Langguth, Johannes, et al.. (2023). Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPU. 1–16. 3 indexed citations
10.
Yang, Carl, Aydın Buluç, & John D. Owens. (2022). GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU. ACM Transactions on Mathematical Software. 48(1). 1–51. 34 indexed citations
11.
Mehrabadi, Farid Rashidi, Eva Pérez‐Guijarro, Kerrie L. Marie, et al.. (2022). Fast intratumor heterogeneity inference from single-cell sequencing data. Nature Computational Science. 2(9). 577–583. 3 indexed citations
12.
Chen, Yuxin, et al.. (2022). Atos: A Task-Parallel GPU Scheduler for Graph Analytics. 1–11. 6 indexed citations
13.
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
14.
Ding, Nan, Marco D. Santambrogio, Steven Hofmeyr, et al.. (2020). LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 27 indexed citations
15.
Hofmeyr, Steven, Rob Egan, Evangelos Georganas, et al.. (2020). Terabase-scale metagenome coassembly with MetaHipMer. Scientific Reports. 10(1). 10689–10689. 31 indexed citations
16.
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
17.
Tang, Yuhang, et al.. (2020). A High-Throughput Solver for Marginalized Graph Kernels on GPU. arXiv (Cornell University). 728–738. 11 indexed citations
18.
Gholami, Amir, Ariful Azad, Kurt Keutzer, & Aydın Buluç. (2017). Integrated Model and Data Parallelism in Training Neural Networks.. arXiv (Cornell University). 3 indexed citations
19.
Buluç, Aydın, Jarrod Chapman, John R. Gilbert, et al.. (2014). Efficient and accurate clustering for large-scale genetic mapping. 3–10. 3 indexed citations
20.
Buluç, Aydın, et al.. (2012). A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis. 930–941. 37 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David A. Bader Breakdown of academic impact, for papers by Maya Gokhale Breakdown of academic impact, for papers by Martin Herbordt Breakdown of academic impact, for papers by Peter Y. K. Cheung Breakdown of academic impact, for papers by Guang R. Gao Breakdown of academic impact, for papers by Guangming Tan Breakdown of academic impact, for papers by Katherine Yelick Breakdown of academic impact, for papers by Emilio L. Zapata Breakdown of academic impact, for papers by Yasuaki Ito Breakdown of academic impact, for papers by Wu-chun Feng
Rankless by CCL
2026