Ali Vakilian
- Artificial Intelligence
- Computer Networks and Communications
- Computational Theory and Mathematics
- Management Science and Operations Research
- Computer Vision and Pattern Recognition
- Co-authors
- Piotr IndykChen-Yu HsuDina KatabiAlina EneKrzysztof OnakArtūrs BačkursYuan YangBaruch Schieber
- Topics
- Facility Location and Emergency Management (5 papers)Optimization and Search Problems (3 papers)Semantic Web and Ontologies (3 papers)
- Journals
- arXiv (Cornell University)DSpace@MIT (Massachusetts Institute of Technology)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Ali Vakilian
14 papers receiving 65 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 38
- Computer Networks and Communications 22
- Computational Theory and Mathematics 11
- Management Science and Operations Research 11
- Computer Vision and Pattern Recognition 9
Countries citing papers authored by Ali Vakilian
This map shows the geographic impact of Ali Vakilian'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 Ali Vakilian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Vakilian more than expected).
Fields of papers citing papers by Ali Vakilian
This network shows the impact of papers produced by Ali Vakilian. 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 Ali Vakilian. The network helps show where Ali Vakilian may publish in the future.
Co-authorship network of co-authors of Ali Vakilian
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Vakilian. A scholar is included among the top collaborators of Ali Vakilian 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 Ali Vakilian. Ali Vakilian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Learning Online Algorithms with Distributional Advice | 2 |
| 5 | (Individual) Fairness for k-Clustering | 2 |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | Learning-Based Frequency Estimation Algorithms. | 26 |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | Cost Effective Conceptual Design for Semantic Annotation (Extended Version) | 1 |
| 15 | Node-weighted prize-collecting survivable network design problems | 2 |
About Ali Vakilian
Ali Vakilian is a scholar working on Organizational Behavior and Human Resource Management, Signal Processing and Artificial Intelligence, having authored 15 papers that have together received 67 indexed citations. Recurring topics across this work include Facility Location and Emergency Management (5 papers), Optimization and Search Problems (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Computational Mathematics (2 citations), Artificial Intelligence (38 citations) and Computer Networks and Communications (22 citations). Ali Vakilian has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Piotr Indyk, Chen-Yu Hsu, Dina Katabi, Alina Ene, Krzysztof Onak, Artūrs Bačkurs, Yuan Yang, Baruch Schieber, Sepideh Mahabadi and Marianne Winslett. Their work appears in journals such as arXiv (Cornell University), DSpace@MIT (Massachusetts Institute of Technology) and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.