Carmen Gervet

582 total citations
19 papers, 179 citations indexed

About

Carmen Gervet is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Carmen Gervet has authored 19 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Carmen Gervet's work include Constraint Satisfaction and Optimization (9 papers), Integrated Energy Systems Optimization (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Carmen Gervet is often cited by papers focused on Constraint Satisfaction and Optimization (9 papers), Integrated Energy Systems Optimization (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Carmen Gervet collaborates with scholars based in France, United Kingdom and Egypt. Carmen Gervet's co-authors include Benjamin Pillot, Laurent Linguet, Neil Yorke‐Smith, Anne Laurent, Arnaud Martin, Thom Frühwirth, Thérèse Libourel, Slim Abdennadher, Emmanuel Roux and Véra Georgescu and has published in prestigious journals such as PLoS ONE, Applied Energy and Malaria Journal.

In The Last Decade

Carmen Gervet

17 papers receiving 160 citations

Peers

Carmen Gervet
Comparison fields: 5 of 43
  • Computer Networks and Communications 76
  • Artificial Intelligence 73
  • Electrical and Electronic Engineering 35
  • Computational Theory and Mathematics 34
  • Pollution 30
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Weiwei Xiong China
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Citations per field, relative to Carmen Gervet
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Citations per year, relative to Carmen Gervet
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Countries citing papers authored by Carmen Gervet

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Gervet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Gervet

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 1
3 4
4 10
5 1
6 60
7 1
8 4
9 5
10 0
11 8
12 8
13
Global Filtering for the Disjointness Constraint on Fixed Cardinality Sets
2
14
Tight and Tractable Reformulations for Uncertain CSPs
0
15
Data Uncertainty in Constraint Programming: A Non-Probabilistic Approach
2
16
Large combinatorial optimization problem methodology for hybrid models and solutions.
1
17 65
18
Conjunto: constraint propagation over set constraints with finite set domain variables (abstract)
4
19
Sets and Binary Relation Variables Viewed as Constrained Objects.
1

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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