Antoine Amarilli
Impact in
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- Data Management and Algorithms
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- Scientific Computing and Data Management
Papers in
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- Machine Learning and Algorithms 4
- Bayesian Modeling and Causal Inference 3
- Data Stream Mining Techniques 1
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- Advanced Database Systems and Queries 5
- Co-authors
- Pierre Bourhis (4 shared papers)Benny Kimelfeld (3 shared papers)Michael Benedikt (2 shared papers)Yael Amsterdamer (2 shared papers)İsmail İlkan Ceylan (2 shared papers)Pierre Senellart (3 shared papers)Daniel Deutch (2 shared papers)Kuldeep S. Meel (1 shared paper)
- Journals
- Logical Methods in Computer Science (3 papers)ACM SIGMOD Record (2 papers)Theory of Computing Systems (1 paper)Journal of Artificial Intelligence Research (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- FranceIsraelUnited Kingdom
In The Last Decade
Antoine Amarilli
18 papers receiving 47 citations
Peers
Comparison fields: 5 of 16
- Signal Processing 17
- Information Systems and Management 7
- Artificial Intelligence 32
- Computer Networks and Communications 20
- Computational Theory and Mathematics 7
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 9 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 9 | |
| 2 | 2021 | 6 | |
| 3 | 2018 | 4 | |
| 4 | 2019 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2019 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | Model Counting for Conjunctive Queries Without Self-Joins | 2019 | 2 |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2024 | 0 | |
| 20 | Provenance for Nondeterministic Order-Aware Queries | 2013 | 0 |
About Antoine Amarilli
Antoine Amarilli is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems and Management, Signal Processing and Computational Theory and Mathematics, having authored 20 papers that have together received 48 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (4 papers), Scientific Computing and Data Management (4 papers), Machine Learning and Algorithms (4 papers), Bayesian Modeling and Causal Inference (3 papers), Complexity and Algorithms in Graphs (2 papers), semigroups and automata theory (2 papers) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Signal Processing (17 citations), Information Systems and Management (7 citations), Artificial Intelligence (32 citations), Computer Networks and Communications (20 citations) and Computational Theory and Mathematics (7 citations). Antoine Amarilli has collaborated with scholars based in France, Israel and United Kingdom. Frequent co-authors include Pierre Bourhis, Benny Kimelfeld, Michael Benedikt, Yael Amsterdamer, İsmail İlkan Ceylan, Pierre Senellart, Daniel Deutch, Kuldeep S. Meel and Mouhamadou Ba. Their work appears in journals such as Logical Methods in Computer Science, ACM SIGMOD Record, Theory of Computing Systems, Journal of Artificial Intelligence Research and ACM Transactions on Database 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.