DBScholar

Back to institutions

EURECOM

Overall Rank
263 | 90.74%
Pagerank
0.12305952
Paper Count
16

Authors at This Institution

Listed authors are those whose most frequent affiliation is this institution.

Showing 9 of 9 authors.

Rank Author Pagerank Papers
139 Paolo Papotti 0.33223159 41
5,760 Gilbert Badaro 0.015189814 2
5,778 Mohammed Saeed 0.015153234 2
7,862 Riccardo Cappuzzo 0.010434603 1
8,732 Pietro Michiardi 0.0091739943 1
9,912 Sara Rosato 0.0083303454 1
9,913 Simone Varriale 0.0083303454 1
12,956 Viet-Phi Huynh 0.0074698371 1
14,328 Jean-Flavien Bussotti 0.0073130309 2
Previous Page 1 / 1 Next

Papers with at Least One Affiliated Author

Showing 16 of 16 papers, sorted by pagerank.

Rank Paper Year Venue Pagerank
1,402 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD 0.00010888094
1,465 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010689571
1,977 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.3641101e-05
2,556 NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data 2017 VLDB 8.4162172e-05
3,351 RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! - 2018 VLDB 7.4937347e-05
4,045 Logical and Physical Optimizations for SQL Query Execution over Large Language Models 2025 SIGMOD 6.9394654e-05
4,836 Transformers for Tabular Data Representation: A Tutorial on Models and Applications 2022 VLDB 6.4848269e-05
7,627 Buckle: Evaluating Fact Checking Algorithms Built on Knowledge Bases 2019 VLDB 5.5798467e-05
8,265 RuDiK: Rule Discovery in Knowledge Bases 2018 VLDB 5.4574671e-05
8,386 A system design for elastically scaling transaction processing engines in virtualized servers 2020 VLDB 5.436614e-05
8,594 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 5.4053095e-05
8,945 Generation of Training Examples for Tabular Natural Language Inference 2023 SIGMOD 5.3480421e-05
9,790 Meta-Mappings for Schema Mapping Reuse 2019 VLDB 5.220833e-05
11,068 Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both? 2025 VLDB 5.093636e-05
11,546 Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data 2022 SIGMOD 5.093636e-05
13,337 Accelerating Tabular Inference: Training Data Generation with TENET 2025 VLDB -
Previous Page 1 / 1 Next