Ugur Demiryurek
- Transportation top 1%
- Transportation Planning and Optimization 9
- Human Mobility and Location-Based Analysis 9
- Building and Construction top 2%
- Traffic Prediction and Management Techniques 12
- Signal Processing top 2%
- Data Management and Algorithms 16
- Automotive Engineering top 5%
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- Advanced Database Systems and Queries 6
- Peer-to-Peer Network Technologies 3
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- Geographic Information Systems Studies 4
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- Data Stream Mining Techniques 4
- Co-authors
- Cyrus ShahabiDingxiong DengBei PanFarnoush Banaei‐KashaniMohammad AsghariLinhong ZhuChetan GuptaYaguang Li
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the VLDB Endowment (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Ugur Demiryurek
28 papers receiving 891 citations
Peers
Comparison fields: 5 of 65
- Transportation 396
- Computer Science Applications 198
- Building and Construction 366
- Signal Processing 279
- Automotive Engineering 129
Countries citing papers authored by Ugur Demiryurek
This map shows the geographic impact of Ugur Demiryurek'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 Ugur Demiryurek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ugur Demiryurek more than expected).
Fields of papers citing papers by Ugur Demiryurek
This network shows the impact of papers produced by Ugur Demiryurek. 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 Ugur Demiryurek. The network helps show where Ugur Demiryurek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ugur Demiryurek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 28 | |
| 2 | 2017 | 18 | |
| 3 | 2017 | 10 | |
| 4 | 2016 | 85 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 5 | |
| 7 | 2015 | 18 | |
| 8 | 2015 | 29 | |
| 9 | 2015 | 43 | |
| 10 | 2015 | 4 | |
| 11 | 2015 | 5 | |
| 12 | 2014 | 27 | |
| 13 | 2013 | 143 | |
| 14 | 2012 | 145 | |
| 15 | Efficient K-Nearest Neighbor Search in Time-Dependent Spatial Networks | 2010 | 19 |
| 16 | 2010 | 6 | |
| 17 | 2010 | 90 | |
| 18 | Temporal Modeling of Spatiotemporal Networks | 2009 | 0 |
| 19 | 2009 | 21 | |
| 20 | 2008 | 30 |
About Ugur Demiryurek
Ugur Demiryurek is a scholar working on Transportation, Signal Processing and Building and Construction, having authored 29 papers that have together received 922 indexed citations. Recurring topics across this work include Data Management and Algorithms (16 papers), Traffic Prediction and Management Techniques (12 papers), Transportation Planning and Optimization (9 papers), Human Mobility and Location-Based Analysis (9 papers), Advanced Database Systems and Queries (6 papers), Geographic Information Systems Studies (4 papers), Data Stream Mining Techniques (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Transportation (396 citations), Computer Science Applications (198 citations) and Building and Construction (366 citations). Ugur Demiryurek has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Cyrus Shahabi, Dingxiong Deng, Bei Pan, Farnoush Banaei‐Kashani, Mohammad Asghari, Linhong Zhu, Chetan Gupta, Yaguang Li, Mihaela van der Schaar and Jie Xu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and IEEE Journal of Selected Topics in Signal Processing.
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.