Çiğdem Aslay

461 total citations
15 papers, 274 citations indexed

About

Çiğdem Aslay is a scholar working on Statistical and Nonlinear Physics, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Çiğdem Aslay has authored 15 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 7 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Çiğdem Aslay's work include Complex Network Analysis Techniques (9 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Social Media and Politics (3 papers). Çiğdem Aslay is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Social Media and Politics (3 papers). Çiğdem Aslay collaborates with scholars based in Denmark, Finland and United States. Çiğdem Aslay's co-authors include Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu, Ricardo Baeza‐Yates, Nicola Barbieri, Aristides Gionis, Xiaokui Xiao, Amit Goyal, Esther Galbrun and Neil O’Hare and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Çiğdem Aslay

14 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Çiğdem Aslay Denmark 9 180 86 67 51 45 15 274
Yuqing Zhu China 12 223 1.2× 74 0.9× 93 1.4× 75 1.5× 25 0.6× 41 349
Keke Huang Singapore 8 174 1.0× 43 0.5× 82 1.2× 70 1.4× 21 0.5× 13 238
Nishith Pathak United States 8 188 1.0× 90 1.0× 97 1.4× 49 1.0× 30 0.7× 16 306
Suqi Cheng China 4 297 1.6× 68 0.8× 89 1.3× 119 2.3× 25 0.6× 6 357
Zhengyou Xia China 10 179 1.0× 85 1.0× 128 1.9× 94 1.8× 26 0.6× 31 326
Naoto Ohsaka Japan 6 225 1.3× 43 0.5× 98 1.5× 102 2.0× 19 0.4× 21 301
Canh V. Pham Vietnam 6 105 0.6× 75 0.9× 43 0.6× 46 0.9× 12 0.3× 20 218
Sainyam Galhotra United States 11 136 0.8× 59 0.7× 159 2.4× 65 1.3× 23 0.5× 29 329
Owen Phelan Ireland 4 99 0.6× 175 2.0× 119 1.8× 51 1.0× 37 0.8× 6 299
Liqing Qiu China 9 202 1.1× 81 0.9× 118 1.8× 35 0.7× 13 0.3× 47 332

Countries citing papers authored by Çiğdem Aslay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Çiğdem Aslay

This figure shows the co-authorship network connecting the top 25 collaborators of Çiğdem Aslay. A scholar is included among the top collaborators of Çiğdem Aslay 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 Çiğdem Aslay. Çiğdem Aslay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Jørgensen, Jakob Sauer, et al.. (2023). ActUp: Analyzing and Consolidating tSNE and UMAP. 3651–3658.
2.
Aslay, Çiğdem, et al.. (2021). TipTap: Approximate Mining of Frequent k -Subgraph Patterns in Evolving Graphs. ACM Transactions on Knowledge Discovery from Data. 15(3). 1–35. 6 indexed citations
3.
Aslay, Çiğdem, et al.. (2021). Workload-aware Materialization for Efficient Variable Elimination on Bayesian Networks. Aaltodoc (Aalto University). 1152–1163. 1 indexed citations
4.
Han, Kai, et al.. (2021). Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 671–684. 8 indexed citations
5.
Aslay, Çiğdem, et al.. (2020). Co-exposure Maximization in Online Social Networks. neural information processing systems. 33. 3232–3243. 4 indexed citations
6.
Aslay, Çiğdem, et al.. (2020). Maximizing the Diversity of Exposure in a Social Network. IEEE Transactions on Knowledge and Data Engineering. 34(9). 4357–4370. 14 indexed citations
7.
Aslay, Çiğdem, et al.. (2018). Mining Frequent Patterns in Evolving Graphs. KTH Publication Database DiVA (KTH Royal Institute of Technology). 923–932. 11 indexed citations
8.
Aslay, Çiğdem, Laks V. S. Lakshmanan, Wei Lu, & Xiaokui Xiao. (2018). Influence Maximization in Online Social Networks. 775–776. 37 indexed citations
9.
Aslay, Çiğdem, et al.. (2018). Robust Cascade Reconstruction by Steiner Tree Sampling. Aaltodoc (Aalto University). 637–646. 8 indexed citations
10.
Aslay, Çiğdem, et al.. (2018). Maximizing the Diversity of Exposure in a Social Network. arXiv (Cornell University). 863–868. 15 indexed citations
11.
Zheng, Dong, Jianquan Liu, Rong-Hua Li, et al.. (2017). Querying Intimate-Core Groups in Weighted Graphs. 156–163. 11 indexed citations
12.
Aslay, Çiğdem, Francesco Bonchi, Laks V. S. Lakshmanan, & Wei Lu. (2017). Revenue maximization in incentivized social advertising. Proceedings of the VLDB Endowment. 10(11). 1238–1249. 37 indexed citations
13.
Aslay, Çiğdem, Wei Lu, Francesco Bonchi, Amit Goyal, & Laks V. S. Lakshmanan. (2015). Viral marketing meets social advertising. Proceedings of the VLDB Endowment. 8(7). 814–825. 39 indexed citations
14.
Aslay, Çiğdem, Nicola Barbieri, Francesco Bonchi, & Ricardo Baeza‐Yates. (2014). Online Topic-aware Influence Maximization Queries. Movebank. 295–306. 59 indexed citations
15.
Aslay, Çiğdem, Neil O’Hare, Luca Maria Aiello, & Alejandro Jaimes. (2013). Competition-based networks for expert finding. 1033–1036. 24 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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