Çiğdem Aslay
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Communication top 10%
- Social Media and Politics
Papers in
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- Complex Network Analysis Techniques 9
- Opinion Dynamics and Social Influence 3
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- Expert finding and Q&A systems 2
- Co-authors
- Francesco Bonchi (3 shared papers)Laks V. S. Lakshmanan (4 shared papers)Wei Lu (3 shared papers)Nicola Barbieri (1 shared paper)Ricardo Baeza‐Yates (1 shared paper)Aristides Gionis (6 shared papers)Xiaokui Xiao (1 shared paper)Amit Goyal (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)arXiv (Cornell University) (2 papers)neural information processing systems (1 paper)
- Partner nations
- FinlandUnited StatesDenmark
In The Last Decade
Çiğdem Aslay
14 papers receiving 269 citations
Peers
Comparison fields: 5 of 38
- Statistical and Nonlinear Physics 180
- Communication 45
- Computer Science Applications 30
- Information Systems 86
- Transportation 19
Countries citing papers authored by Çiğdem Aslay
This map shows the geographic impact of Çiğdem Aslay'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 Çiğdem Aslay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Çiğdem Aslay more than expected).
Fields of papers citing papers by Çiğdem Aslay
This network shows the impact of papers produced by Çiğdem Aslay. 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 Çiğdem Aslay. The network helps show where Çiğdem Aslay may publish in the future.
Co-authors
The 25 scholars most cited alongside Çiğdem Aslay, 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 | 2014 | 59 | |
| 2 | 2015 | 39 | |
| 3 | 2017 | 37 | |
| 4 | 2018 | 37 | |
| 5 | 2013 | 24 | |
| 6 | 2018 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2017 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2021 | 6 | |
| 13 | Co-exposure Maximization in Online Social Networks | 2020 | 4 |
| 14 | 2021 | 1 | |
| 15 | 2023 | 0 |
About Çiğdem Aslay
Çiğdem Aslay is a scholar working on Statistical and Nonlinear Physics, Information Systems, Computer Networks and Communications, Artificial Intelligence and Computer Science Applications, having authored 15 papers that have together received 274 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Data Management and Algorithms (3 papers), Social Media and Politics (3 papers), Optimization and Search Problems (3 papers), Opinion Dynamics and Social Influence (3 papers), Caching and Content Delivery (2 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (180 citations), Communication (45 citations), Computer Science Applications (30 citations), Information Systems (86 citations) and Transportation (19 citations). Çiğdem Aslay has collaborated with scholars based in Finland, United States and Denmark. Frequent co-authors include Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu, Nicola Barbieri, Ricardo Baeza‐Yates, Aristides Gionis, Xiaokui Xiao, Amit Goyal, Esther Galbrun and Alejandro Jaimes. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Knowledge and Data Engineering, arXiv (Cornell University) and neural information processing systems.
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.