Hakan Hacígümüş
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 1%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Sharad MehrotraB. R. IyerChen LiYün ChiHyun Jin MoonJunichi TatemuraShenghuo ZhuJeffrey F. Naughton
- Topics
- Cloud Computing and Resource Management (33 papers)Advanced Database Systems and Queries (18 papers)Distributed systems and fault tolerance (14 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Hakan Hacígümüş
49 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Information Systems 1.2k
- Artificial Intelligence 1.1k
- Computer Networks and Communications 1.1k
- Signal Processing 242
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Hakan Hacígümüş
This map shows the geographic impact of Hakan Hacígümüş'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 Hakan Hacígümüş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakan Hacígümüş more than expected).
Fields of papers citing papers by Hakan Hacígümüş
This network shows the impact of papers produced by Hakan Hacígümüş. 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 Hakan Hacígümüş. The network helps show where Hakan Hacígümüş may publish in the future.
Co-authorship network of co-authors of Hakan Hacígümüş
This figure shows the co-authorship network connecting the top 25 collaborators of Hakan Hacígümüş. A scholar is included among the top collaborators of Hakan Hacígümüş 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 Hakan Hacígümüş. Hakan Hacígümüş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | ShuttleDB: Database-Aware Elasticity in the Cloud | 14 |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 17 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 13 | |
| 17 | 23 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Executing SQL over encrypted data in the database-service-provider modelbreakdown → | 660 |
About Hakan Hacígümüş
Hakan Hacígümüş is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (33 papers), Advanced Database Systems and Queries (18 papers) and Distributed systems and fault tolerance (14 papers). The work is most often cited by research in Information Systems (1.2k citations), Computer Networks and Communications (1.1k citations) and Artificial Intelligence (1.1k citations). Hakan Hacígümüş has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Sharad Mehrotra, B. R. Iyer, Chen Li, Yün Chi, Hyun Jin Moon, Junichi Tatemura, Shenghuo Zhu, Jeffrey F. Naughton, Pengcheng Xiong and Wentao Wu. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal and Journal of Grid Computing.
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.