Antoine Amarilli
Impact in
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- Data Management and Algorithms
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- Algorithms and Data Compression
- Bayesian Modeling and Causal Inference
- Semantic Web and Ontologies
- Topic Modeling
Papers in
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- Machine Learning and Algorithms 4
- Bayesian Modeling and Causal Inference 3
- Data Stream Mining Techniques 2
- Semantic Web and Ontologies 2
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- Advanced Database Systems and Queries 9
- Co-authors
- Pierre Bourhis (4 shared papers)Pierre Senellart (7 shared papers)Benny Kimelfeld (3 shared papers)Stéphane Bressan (2 shared papers)Ruiming Tang (2 shared papers)Michael Benedikt (1 shared paper)İsmail İlkan Ceylan (2 shared papers)Yael Amsterdamer (3 shared papers)
- Journals
- Logical Methods in Computer Science (3 papers)ACM SIGMOD Record (2 papers)ACM Transactions on Database Systems (1 paper)Lecture notes in computer science (9 papers)Theory of Computing Systems (1 paper)
- Partner nations
- FranceIsraelUnited Kingdom
In The Last Decade
Antoine Amarilli
27 papers receiving 114 citations
Peers
Comparison fields: 5 of 28
- Signal Processing 37
- Artificial Intelligence 79
- Computer Networks and Communications 51
- Information Systems and Management 12
- Management Science and Operations Research 18
Countries citing papers authored by Antoine Amarilli
This map shows the geographic impact of Antoine Amarilli'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 Antoine Amarilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Amarilli more than expected).
Fields of papers citing papers by Antoine Amarilli
This network shows the impact of papers produced by Antoine Amarilli. 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 Antoine Amarilli. The network helps show where Antoine Amarilli may publish in the future.
Co-authors
The 21 scholars most cited alongside Antoine Amarilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 21 | |
| 2 | 2020 | 12 | |
| 3 | 2014 | 11 | |
| 4 | 2021 | 9 | |
| 5 | 2011 | 9 | |
| 6 | 2014 | 7 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2014 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2021 | 2 | |
| 16 | Model Counting for Conjunctive Queries Without Self-Joins | 2019 | 2 |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2011 | 2 |
About Antoine Amarilli
Antoine Amarilli is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Management and Computational Theory and Mathematics, having authored 28 papers that have together received 119 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (8 papers), Scientific Computing and Data Management (5 papers), Machine Learning and Algorithms (4 papers), Data Quality and Management (3 papers), Bayesian Modeling and Causal Inference (3 papers), Data Stream Mining Techniques (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Signal Processing (37 citations), Artificial Intelligence (79 citations), Computer Networks and Communications (51 citations), Information Systems and Management (12 citations) and Management Science and Operations Research (18 citations). Antoine Amarilli has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include Pierre Bourhis, Pierre Senellart, Benny Kimelfeld, Stéphane Bressan, Ruiming Tang, Michael Benedikt, İsmail İlkan Ceylan, Yael Amsterdamer, Fabian M. Suchanek and Michael Tunstall. Their work appears in journals such as Logical Methods in Computer Science, ACM SIGMOD Record, ACM Transactions on Database Systems, Lecture notes in computer science and Theory of Computing 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.