Tolga Urhan
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Michael J. FranklinLaurent AmsalegAnthony TomasicVladimir ZadorozhnyMaría-Esther VidalLaura F. BrightLouiqa RaschidPhilippe Bonnet
- Topics
- Advanced Database Systems and Queries (6 papers)Distributed and Parallel Computing Systems (4 papers)Cloud Computing and Resource Management (4 papers)
- Journals
- ACM SIGMOD RecordVery Large Data BasesDigital Repository at the University of Maryland (University of Maryland College Park)
- Partner nations
- United StatesFranceVenezuela
In The Last Decade
Tolga Urhan
9 papers receiving 280 citations
Peers
Comparison fields: 5 of 19
- Computer Networks and Communications 310
- Signal Processing 208
- Artificial Intelligence 108
- Information Systems 103
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Tolga Urhan
This map shows the geographic impact of Tolga Urhan'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 Tolga Urhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tolga Urhan more than expected).
Fields of papers citing papers by Tolga Urhan
This network shows the impact of papers produced by Tolga Urhan. 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 Tolga Urhan. The network helps show where Tolga Urhan may publish in the future.
Co-authorship network of co-authors of Tolga Urhan
This figure shows the co-authorship network connecting the top 25 collaborators of Tolga Urhan. A scholar is included among the top collaborators of Tolga Urhan 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 Tolga Urhan. Tolga Urhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 40 | |
| 3 | 39 | |
| 4 | 2 | |
| 5 | The Propel Distributed Services Platform | 1 |
| 6 | 54 | |
| 7 | XJoin: Getting Fast Answers From Slow and Bursty Networks | 27 |
| 8 | 137 | |
| 9 | 12 | |
| 10 | Improving Responsiveness for Wide-Area Data Access. | 21 |
About Tolga Urhan
Tolga Urhan is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 10 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Distributed and Parallel Computing Systems (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Signal Processing (208 citations), Computer Networks and Communications (310 citations) and Information Systems (103 citations). Tolga Urhan has collaborated with scholars based in United States, France and Venezuela. Frequent co-authors include Michael J. Franklin, Laurent Amsaleg, Anthony Tomasic, Vladimir Zadorozhny, María-Esther Vidal, Laura F. Bright, Louiqa Raschid, Philippe Bonnet, Michael J. Franklin and Laurent Amsaleg. Their work appears in journals such as ACM SIGMOD Record, Very Large Data Bases and Digital Repository at the University of Maryland (University of Maryland College Park).
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.