Amélie Marian

67 total papers · 3.5k total citations
39 papers, 1.6k citations indexed

About

Amélie Marian is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Amélie Marian has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 18 papers in Computer Networks and Communications and 17 papers in Artificial Intelligence. Recurrent topics in Amélie Marian's work include Advanced Database Systems and Queries (16 papers), Data Management and Algorithms (16 papers) and Web Data Mining and Analysis (8 papers). Amélie Marian is often cited by papers focused on Advanced Database Systems and Queries (16 papers), Data Management and Algorithms (16 papers) and Web Data Mining and Analysis (8 papers). Amélie Marian collaborates with scholars based in United States, France and Netherlands. Amélie Marian's co-authors include Luis Gravano, Serge Abiteboul, Nicolas Bruno, Noémie Elhadad, Grégory Cobéna, Alban Galland, Pierre Senellart, Divesh Srivastava, Surajit Chaudhuri and Nick Koudas and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

In The Last Decade

Amélie Marian

37 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amélie Marian 902 689 670 612 174 39 1.6k
Spiros Skiadopoulos 854 0.9× 708 1.0× 472 0.7× 462 0.8× 181 1.0× 58 1.7k
Gang Wang 710 0.8× 577 0.8× 853 1.3× 529 0.9× 294 1.7× 78 1.7k
Anthony Tomasic 847 0.9× 1.1k 1.6× 1.2k 1.7× 733 1.2× 101 0.6× 85 2.2k
Zhenjie Zhang 1.1k 1.3× 693 1.0× 564 0.8× 634 1.0× 252 1.4× 100 2.2k
Alexandros Ntoulas 836 0.9× 464 0.7× 1.1k 1.6× 254 0.4× 249 1.4× 35 1.6k
Panagiotis Karras 1.0k 1.2× 539 0.8× 308 0.5× 464 0.8× 251 1.4× 87 1.6k
Igor Nai Fovino 915 1.0× 729 1.1× 621 0.9× 358 0.6× 241 1.4× 49 1.8k
Cory Henson 946 1.0× 814 1.2× 610 0.9× 377 0.6× 84 0.5× 46 1.9k
Ahmad Karim 630 0.7× 840 1.2× 661 1.0× 361 0.6× 120 0.7× 26 1.7k
Lei Xu 818 0.9× 394 0.6× 568 0.8× 142 0.2× 242 1.4× 67 1.6k

Countries citing papers authored by Amélie Marian

Since Specialization
Citations

This map shows the geographic impact of Amélie Marian'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 Amélie Marian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amélie Marian more than expected).

Fields of papers citing papers by Amélie Marian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amélie Marian. 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 Amélie Marian. The network helps show where Amélie Marian may publish in the future.

Co-authorship network of co-authors of Amélie Marian

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

All Works

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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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