Amélie Marian

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, Pierre Senellart, Alban Galland, 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

Peers

Amélie Marian
Comparison fields: 5 of 81
  • Artificial Intelligence 907
  • Computer Networks and Communications 689
  • Information Systems 671
  • Signal Processing 611
  • Sociology and Political Science 176
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Emanuele Della Valle Italy
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Anish Das Sarma United States
Kamalakar Karlapalem India
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Citations per field, relative to Amélie Marian
Amélie Marian · 1×
Citations per year, relative to Amélie Marian
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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

20 of 20 papers shown
# Work Indexed citations
1 1
2 39
3 2
4
Small Data
2
5 5
6 1
7 2
8 2
9 2
10 15
11
Flexible Querying of Personal Information.
2
12
Beyond the Stars: Improving Rating Predictions using Review Text Content.
268
13
Corroborating Answers from Multiple Web Sources
35
14 4
15
Circumventing Data Quality Problems Using Multiple Join Paths.
6
16
Structure and content scoring for XML
82
17 234
18
Detecting Changes in XML documents.
4
19
Chance-centric Management of Versions in an XML Warehouse.
1
20
XML Repository and Active Views Demonstration
4

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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