Nicole Bidoít

1.1k citations
31 papers · 501 indexed · h-index 11

Nicole Bidoít

30 papers receiving 407 citations

Peers

Nicole Bidoít
Comparison fields: 5 of 26
  • Artificial Intelligence 411
  • Computer Networks and Communications 311
  • Signal Processing 205
  • Computational Theory and Mathematics 88
  • Information Systems 54
Replace Li-Yan Yuan with:
Li-Yan Yuan Canada
Gerd G. Hillebrand United States
Jerzy Marcinkowski Poland
Maria Zemankova United States
Giorgio Ghelli Italy
Meghyn Bienvenu France
Egor V. Kostylev United Kingdom
Vladislav Ryzhikov United Kingdom
Hannes Voigt Germany
Nicole Schweikardt Germany
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Countries citing papers authored by Nicole Bidoít

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Bidoít

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Bidoít

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Bidoít. A scholar is included among the top collaborators of Nicole Bidoít 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 Nicole Bidoít. Nicole Bidoít 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 1
4 5
5 6
6
Detecting XML query-update independence
2
7 0
8 2
9 12
10
Un premier pas vers la modelisation des donnees semi-structurees par la logique multi-modale hybride.
1
11
Fixpoint calculus for querying semistructured data
4
12 1
13 31
14 40
15 10
16
More on Stratified Default Theories.
4
17
Minimalism subsumes Default Logic and Circumscription in Stratified Logic Programming
40
18 17
19 98
20
Verso: A data base machine based on non 1NF relations
2

About Nicole Bidoít

Nicole Bidoít is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 31 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (20 papers), Semantic Web and Ontologies (18 papers) and Logic, Reasoning, and Knowledge (10 papers). The work is most often cited by research in Signal Processing (205 citations), Computer Networks and Communications (311 citations) and Artificial Intelligence (411 citations). Nicole Bidoít has collaborated with scholars based in France, Italy and Netherlands. Frequent co-authors include Serge Abiteboul, Christine Froidevaux, Richard Hull, Dario Colazzo, Melanie Herschel, Carlo Sartiani, Patrick Koopmann, M. Scholl, François Bancilhon and Anne Verroust-Blondet. Their work appears in journals such as Proceedings of the VLDB Endowment, Theoretical Computer Science and Journal of Computer and System Sciences.

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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