Zoé Lacroix

68 papers receiving 381 citations

Peers

Zoé Lacroix
Comparison fields: 5 of 66
  • Artificial Intelligence 187
  • Computer Networks and Communications 171
  • Molecular Biology 157
  • Information Systems and Management 136
  • Information Systems 115
Replace Hans Chalupsky with:
Hans Chalupsky United States
Davide Lanti Italy
Martín Rezk Italy
Benjamin Cogrel Italy
Mariano Rodríguez-Muro Italy
Holger Knublauch United States
Thomas Heinis United Kingdom
Sofia Alexaki Greece
J Fowler United States
Stephen Harris United Kingdom
Zoé Lacroix relative to Hans Chalupsky United States Hans Chalupsky's profile →
Citations per field
00.5×3.7×
Hans Chalupsky · 1×
Citations per year

Countries citing papers authored by Zoé Lacroix

Since Specialization
Citations

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

Fields of papers citing papers by Zoé Lacroix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoé Lacroix

This figure shows the co-authorship network connecting the top 25 collaborators of Zoé Lacroix. A scholar is included among the top collaborators of Zoé Lacroix 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 Zoé Lacroix. Zoé Lacroix 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
#WorkIndexed citations
1 2
2 1
3 6
4 3
5 1
6 22
7 3
8 3
9 1
10 3
11 1
12 2
13 4
14 4
15 5
16 5
17
Querying annotated scientific data combining object-oriented view and information retrieval
3
18
Object Views through Search Views of Web datasources
9
19 5
20
Object Views Constructed with an Object Algebra.
2

About Zoé Lacroix

Zoé Lacroix is a scholar working on Information Systems and Management, Computer Networks and Communications and Artificial Intelligence, having authored 72 papers that have together received 432 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (28 papers), Semantic Web and Ontologies (27 papers) and Advanced Database Systems and Queries (18 papers). The work is most often cited by research in Information Systems and Management (136 citations), Computer Networks and Communications (171 citations) and Signal Processing (65 citations). Zoé Lacroix has collaborated with scholars based in United States, France and Venezuela. Frequent co-authors include Louiqa Raschid, Omar Boucelma, Terence Critchlow, María-Esther Vidal, Stéphane Bressan, Jacques Chomilier, Yingguang Li, Barbara Eckman, Mong Li Lee and Christophe Legendre. Their work appears in journals such as Nucleic Acids Research, IEEE Transactions on Signal Processing and Proceedings of the VLDB Endowment.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026