Ümit V. Çatalyürek

9.7k citations
228 papers · 5.1k indexed · h-index 39

Ümit V. Çatalyürek

220 papers receiving 4.9k citations

Peers

Ümit V. Çatalyürek
Comparison fields: 5 of 165
  • Hardware and Architecture 1.2k
  • Computer Networks and Communications 2.2k
  • Computational Mathematics 41
  • Computer Vision and Pattern Recognition 1.2k
  • Information Systems and Management 291
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Citations per year

Countries citing papers authored by Ümit V. Çatalyürek

Since Specialization
Citations

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

Fields of papers citing papers by Ümit V. Çatalyürek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ümit V. Çatalyürek. 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 Ümit V. Çatalyürek. The network helps show where Ümit V. Çatalyürek may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ümit V. Çatalyürek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ümit V. Çatalyürek Line = papers co-authored together Ümit V. Çatalyürek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202228
2 20218
3 201926
4 201918
5 20151
6 20142
7 201355
8 20111
9 201115
10 20101
11
Proceedings of the 1st ACM International Health Informatics Symposium
201044
12 200952
13
Distributed-memory parallel algorithms for distance-2 coloring and their application to derivative computation.
20081
14 200821
15 20075
16 20064
17 200647
18
A simulation and data analysis system for large-scale, data-driven oil reservoir simulation studies: Research Articles
20051
19 200428
20
A Hypergraph-Based Workload Partitioning Strategy for Parallel Data Aggregation.
200122

About Ümit V. Çatalyürek

Ümit V. Çatalyürek is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 228 papers that have together received 5.1k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (73 papers), Parallel Computing and Optimization Techniques (60 papers), Interconnection Networks and Systems (37 papers), Advanced Data Storage Technologies (36 papers), Scientific Computing and Data Management (26 papers), VLSI and FPGA Design Techniques (24 papers), Graph Theory and Algorithms (22 papers) and Complex Network Analysis Techniques (20 papers). The work is most often cited by research in Hardware and Architecture (1.2k citations), Computer Networks and Communications (2.2k citations) and Computational Mathematics (41 citations). Ümit V. Çatalyürek has collaborated with scholars based in United States, Türkiye and Spain. Frequent co-authors include Cevdet Aykanat, Érik Saule, Doruk Bozdağ, Tahsin Kurç, Ahmet Erdem Sarıyüce, Olcay Sertel, Joel Saltz, Metin N. Gürcan, Karen Devine and Erik G. Boman. Their work appears in journals such as SIAM Journal on Scientific Computing, Parallel Computing, Journal of Parallel and Distributed Computing, IEEE Transactions on Parallel and Distributed Systems and The International Journal of High Performance Computing Applications.

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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