Uğur Çetintemel

6.0k total citations · 1 hit paper
78 papers, 2.6k citations indexed

About

Uğur Çetintemel is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Uğur Çetintemel has authored 78 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Networks and Communications, 24 papers in Information Systems and 24 papers in Signal Processing. Recurrent topics in Uğur Çetintemel's work include Advanced Database Systems and Queries (41 papers), Data Management and Algorithms (23 papers) and Cloud Computing and Resource Management (21 papers). Uğur Çetintemel is often cited by papers focused on Advanced Database Systems and Queries (41 papers), Data Management and Algorithms (23 papers) and Cloud Computing and Resource Management (21 papers). Uğur Çetintemel collaborates with scholars based in United States, Germany and Türkiye. Uğur Çetintemel's co-authors include Stan Zdonik, Michael Stonebraker, Stanley B. Zdonik, Jeong-Hyon Hwang, Olga Papaemmanouil, Nesime Tatbul, Mert Akdere, Eli Upfal, Ying Xing and Magdalena Bałazińska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and IEEE Transactions on Computers.

In The Last Decade

Uğur Çetintemel

73 papers receiving 2.4k citations

Hit Papers

The 8 requirements of real-time stream processing 2005 2026 2012 2019 2005 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uğur Çetintemel United States 27 2.1k 1.1k 863 754 278 78 2.6k
Vijayshankar Raman United States 20 2.6k 1.2× 923 0.9× 1.5k 1.7× 1.0k 1.4× 293 1.1× 47 3.0k
Chee-Yong Chan Singapore 23 1.6k 0.7× 557 0.5× 1.4k 1.6× 823 1.1× 215 0.8× 46 2.2k
Jeong-Hyon Hwang United States 15 1.5k 0.7× 701 0.7× 728 0.8× 474 0.6× 182 0.7× 30 1.8k
Xiaohui Gu United States 24 2.1k 1.0× 1.8k 1.6× 261 0.3× 756 1.0× 151 0.5× 64 2.5k
Odej Kao Germany 22 1.8k 0.8× 1.2k 1.2× 152 0.2× 627 0.8× 276 1.0× 181 2.3k
Yingyi Bu United States 18 730 0.3× 792 0.7× 270 0.3× 520 0.7× 572 2.1× 32 1.4k
Haoyuan Li China 12 1.1k 0.5× 825 0.8× 223 0.3× 412 0.5× 248 0.9× 42 1.6k
Chris Olston United States 14 1.4k 0.6× 283 0.3× 771 0.9× 525 0.7× 184 0.7× 21 1.6k
Yingnong Dang United States 28 1.9k 0.9× 1.4k 1.3× 277 0.3× 915 1.2× 63 0.2× 58 2.6k
Sanjeev Kulkarni United States 8 1.0k 0.5× 640 0.6× 200 0.2× 469 0.6× 152 0.5× 21 1.3k

Countries citing papers authored by Uğur Çetintemel

Since Specialization
Citations

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

Fields of papers citing papers by Uğur Çetintemel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uğur Çetintemel

This figure shows the co-authorship network connecting the top 25 collaborators of Uğur Çetintemel. A scholar is included among the top collaborators of Uğur Çetintemel 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 Uğur Çetintemel. Uğur Çetintemel 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.
Leary, Owen P., Shaolei Lu, Grayson L. Baird, et al.. (2025). Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor. SHILAP Revista de lepidopterología. 3(2). 100150–100150.
2.
Meng, Shujuan, Thi My Linh Tran, Mingzhe Hu, et al.. (2022). End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study. Journal of Stroke and Cerebrovascular Diseases. 31(11). 106753–106753. 8 indexed citations
3.
Wang, Amy, Mahesh Jayaraman, Jerrold L. Boxerman, et al.. (2020). Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network. Radiology. 297(3). 640–649. 53 indexed citations
4.
Crotty, Andrew, et al.. (2020). DeepSqueeze: Deep Semantic Compression for Tabular Data. 1733–1746. 20 indexed citations
5.
Wang, Amy, Uğur Çetintemel, Ryan McTaggart, et al.. (2018). Deep Learning for ELVO Stroke Detection. 1 indexed citations
6.
Crotty, Andrew, Alex Galakatos, Tim Kraska, et al.. (2015). An architecture for compiling UDF-centric workflows. Proceedings of the VLDB Endowment. 8(12). 1466–1477. 62 indexed citations
7.
Duggan, Jennie, Olga Papaemmanouil, Uğur Çetintemel, & Eli Upfal. (2014). Contender: A Resource Modeling Approach for Concurrent Query Performance Prediction. Movebank. 16 indexed citations
8.
Çetintemel, Uğur, et al.. (2014). Putting Analytics on the Spot: Or How to Lower the Cost for Analytics. IEEE Internet Computing. 18(5). 70–73. 7 indexed citations
9.
Duggan, Jennie, Yün Chi, Hakan Hacígümüş, Shenghuo Zhu, & Uğur Çetintemel. (2013). Packing light: Portable workload performance prediction for the cloud. 258–265. 17 indexed citations
10.
Papaemmanouil, Olga, Uğur Çetintemel, & John Jannotti. (2009). Supporting Generic Cost Models for Wide-Area Stream Processing. Proceedings - International Conference on Data Engineering. 10 indexed citations
11.
Stonebraker, Michael, Chuck Bear, Uğur Çetintemel, et al.. (2007). One Size Fits All? Part 2: Benchmarking Studies.. Conference on Innovative Data Systems Research. 173–184. 32 indexed citations
12.
Xing, Ying, Jeong-Hyon Hwang, Uğur Çetintemel, & Stan Zdonik. (2006). Providing resiliency to load variations in distributed stream processing. Very Large Data Bases. 775–786. 71 indexed citations
13.
Ahmad, Yanif & Uğur Çetintemel. (2004). Networked Query Processing for Distributed Stream-Based Applications.. Very Large Data Bases. 456–467. 6 indexed citations
14.
Papaemmanouil, Olga & Uğur Çetintemel. (2004). Semantic multicast for content-based stream dissemination. 37–42. 8 indexed citations
15.
Zdonik, Stanley B., Michael Stonebraker, Mitch Cherniack, et al.. (2003). The Aurora and Medusa Projects.. IEEE Data(base) Engineering Bulletin. 26. 3–10. 88 indexed citations
16.
Abadi, Daniel J., Don Carney, Uğur Çetintemel, et al.. (2003). Aurora. 666–666. 126 indexed citations
17.
Çetintemel, Uğur & Peter J. Keleher. (2002). Performance of mobile, single-object, replication protocols. 218–227. 3 indexed citations
18.
Çetintemel, Uğur, Banu Özden, Michael J. Franklin, & Abraham Silberschatz. (2002). Design and evaluation of redistribution strategies for wide-area commodity distribution. 154–161. 7 indexed citations
19.
Çetintemel, Uğur & Peter J. Keleher. (2002). Light-weight currency management mechanisms in Deno. 17–24. 9 indexed citations
20.
Çetintemel, Uğur, Björn Þór Jónsson, Michael J. Franklin, C. Lee Giles, & Divesh Srivastava. (1998). Evaluating Answer Quality/Efficiency Tradeoffs.. 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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