World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
11308
World Ranking
3684
National Ranking
1758

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to combinatorial scientific computing and parallel computing

Overview

Ümit V. Çatalyürek is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the field of Computer Science, with significant contributions across several subfields including Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, and Electrical and Electronic Engineering.

The scientist's work focuses on various topics, notably in Graph Theory and Algorithms, Parallel Computing and Optimization Techniques, VLSI and FPGA Design Techniques, Interconnection Networks and Systems, Advanced Graph Neural Networks, Embedded Systems Design Techniques, and Algorithms and Data Compression.

They have authored and co-authored multiple publications, notable among them:

  • More Recent Advances in (Hyper)Graph Partitioning, 2022, ACM Computing Surveys
  • A Block-Based Triangle Counting Algorithm on Heterogeneous Environments, 2021, IEEE Transactions on Parallel and Distributed Systems
  • Programming Strategies for Irregular Algorithms on the Emu Chick, 2020, ACM Transactions on Parallel Computing
  • Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs, 2022, arXiv (Cornell University)
  • More Recent Advances in (Hyper)Graph Partitioning, 2022, arXiv (Cornell University)

The venues where this researcher frequently publishes include arXiv (Cornell University), ACM Computing Surveys, IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Parallel Computing, and iScience.

Collaboration is a component of their work, with frequent co-authors including Abdurrahman Yaşar, Muhammed Fati̇h Balin, Kaan Sancak, Xiaojing An, and M. Yusuf Özkaya. The counts of collaborations with these co-authors range from four to seven joint works.

In recognition of their contributions to combinatorial scientific computing and parallel computing, Ümit V. Çatalyürek was named an IEEE Fellow in 2016.

Best Publications

  • Hypergraph-partitioning-based decomposition for parallel sparse-matrix vector multiplication

    U.V. Catalyurek;C. Aykanat

  • A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L

    Andy Yoo;Edmond Chow;Keith Henderson;William McLendon

  • A comparative analysis of biclustering algorithms for gene expression data

    Kemal Eren;Mehmet Deveci;Onur Küçüktunç;Ümit V. Çatalyürek

  • Benchmarking short sequence mapping tools

    Ayat Hatem;Doruk Bozdağ;Amanda E Toland;Ümit V Çatalyürek

  • Parallel hypergraph partitioning for scientific computing

    Karen D. Devine;Erik G. Boman;Robert T. Heaphy;Rob H. Bisseling

  • Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development

    O. Sertel;J. Kong;H. Shimada;U. V. Catalyurek

  • Distributed processing of very large datasets with DataCutter

    Michael D. Beynon;Tahsin Kurc;Umit Catalyurek;Chialin Chang

  • Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading

    Olcay Sertel;Jun Kong;Umit V. Catalyurek;Gerard Lozanski

  • Streaming algorithms for k-core decomposition

    Ahmet Erdem Saríyüce;Buğra Gedik;Gabriela Jacques-Silva;Kun-Lung Wu

  • Hypergraph-based Dynamic Load Balancing for Adaptive Scientific Computations

    U.V. Catalyurek;E.G. Boman;K.D. Devine;D. Bozdag

  • Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

    Erik Saule;Kamer Kaya;Ümit V. Çatalyürek

  • PaToH (Partitioning tool for hypergraphs)

    Ümit V. Çatalyürek;Cevdet Aykanat

  • The Zoltan and Isorropia parallel toolkits for combinatorial scientific computing: Partitioning, ordering and coloring

    Erik G. Boman;Ümit V. Çatalyürek;Cédric Chevalier;Karen D. Devine

  • Permuting Sparse Rectangular Matrices into Block-Diagonal Form

    Cevdet Aykanat;Ali Pinar;Ümit V. Çatalyürek

  • Dynamic generation of accident progression event trees

    Aram Hakobyan;Tunc Aldemir;Richard Denning;Sean Dunagan

  • Finding the Hierarchy of Dense Subgraphs using Nucleus Decompositions

    Ahmet Erdem Sariyuce;C. Seshadhri;Ali Pinar;Umit V. Catalyurek

  • On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe

    Ümit V. Çatalyürek;Cevdet Aykanat;Bora Uçar

  • A repartitioning hypergraph model for dynamic load balancing

    Umit V. Catalyurek;Erik G. Boman;Karen D. Devine;Doruk Bozdağ

  • Biomedical image analysis on a cooperative cluster of GPUs and multicores

    Timothy D.R. Hartley;Umit Catalyurek;Antonio Ruiz;Francisco Igual

  • The virtual microscope

    U. Catalyurek;M.D. Beynon;Chialin Chang;T. Kurc

  • Benchmarking Short Sequence Mapping Tools

    Ayat Hatem;Doruk Bozdag;Umit V. Catalyurek

Frequent Co-Authors

Joel H. Saltz
Joel H. Saltz Stony Brook University
Tahsin Kurc
Tahsin Kurc Stony Brook University
P. Sadayappan
P. Sadayappan University of Utah
Metin N. Gurcan
Metin N. Gurcan Wake Forest University
Alan Sussman
Alan Sussman University of Maryland, College Park
Mary F. Wheeler
Mary F. Wheeler The University of Texas at Austin
Manish Parashar
Manish Parashar University of Utah
Cevdet Aykanat
Cevdet Aykanat Bilkent University
Ali Pinar
Ali Pinar Sandia National Laboratories
Gagan Agrawal
Gagan Agrawal Augusta University

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