Arnaud Giacometti

696 total citations
11 papers, 124 citations indexed

About

Arnaud Giacometti is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Arnaud Giacometti has authored 11 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Arnaud Giacometti's work include Data Management and Algorithms (8 papers), Data Mining Algorithms and Applications (7 papers) and Advanced Database Systems and Queries (6 papers). Arnaud Giacometti is often cited by papers focused on Data Management and Algorithms (8 papers), Data Mining Algorithms and Applications (7 papers) and Advanced Database Systems and Queries (6 papers). Arnaud Giacometti collaborates with scholars based in France, Brazil and Senegal. Arnaud Giacometti's co-authors include Arnaud Soulet, Patrick Marcel, Sandra de Amo, Elsa Negre, Nicolas Labroche and Dominique Laurent and has published in prestigious journals such as Knowledge and Information Systems, Information Systems and Intelligent Data Analysis.

In The Last Decade

Arnaud Giacometti

10 papers receiving 114 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arnaud Giacometti France 7 66 56 56 45 24 11 124
Ralf Rantzau Germany 6 41 0.6× 86 1.5× 105 1.9× 72 1.6× 21 0.9× 12 159
Hazar Harmouch Germany 6 74 1.1× 40 0.7× 80 1.4× 51 1.1× 17 0.7× 10 170
Magnus Lie Hetland Norway 7 52 0.8× 54 1.0× 28 0.5× 25 0.6× 39 1.6× 19 131
Tabish Rashid United Kingdom 4 88 1.3× 36 0.6× 83 1.5× 50 1.1× 7 0.3× 7 134
Letterio Galletta Italy 7 68 1.0× 39 0.7× 88 1.6× 75 1.7× 7 0.3× 41 171
Vishal Saraswat India 8 94 1.4× 15 0.3× 23 0.4× 34 0.8× 36 1.5× 17 127
Vijay Dialani United States 5 50 0.8× 40 0.7× 130 2.3× 75 1.7× 9 0.4× 7 158
Cristina Sirangelo France 9 133 2.0× 94 1.7× 133 2.4× 22 0.5× 15 0.6× 20 169
Jeffrey Undercoffer United States 7 82 1.2× 39 0.7× 167 3.0× 44 1.0× 14 0.6× 9 203
Guolei Yang United States 7 127 1.9× 50 0.9× 26 0.5× 60 1.3× 28 1.2× 12 189

Countries citing papers authored by Arnaud Giacometti

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Giacometti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Giacometti

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

All Works

11 of 11 papers shown
1.
Giacometti, Arnaud, et al.. (2021). Pattern on demand in transactional distributed databases. Information Systems. 104. 101908–101908. 1 indexed citations
2.
Giacometti, Arnaud, et al.. (2020). MAPK-means: A clustering algorithm with quantitative preferences on attributes. Intelligent Data Analysis. 24(2). 459–489. 4 indexed citations
3.
Giacometti, Arnaud, et al.. (2019). Sequential pattern sampling with norm-based utility. Knowledge and Information Systems. 62(5). 2029–2065. 7 indexed citations
4.
Giacometti, Arnaud & Arnaud Soulet. (2016). Anytime algorithm for frequent pattern outlier detection. International Journal of Data Science and Analytics. 2(3-4). 119–130. 8 indexed citations
5.
Giacometti, Arnaud, et al.. (2014). 20 years of pattern mining. ACM SIGKDD Explorations Newsletter. 15(1). 41–50. 9 indexed citations
6.
Amo, Sandra de, et al.. (2014). Contextual preference mining for user profile construction. Information Systems. 49. 182–199. 21 indexed citations
7.
Giacometti, Arnaud, Patrick Marcel, Elsa Negre, & Arnaud Soulet. (2011). Query Recommendations for OLAP Discovery-Driven Analysis. International Journal of Data Warehousing and Mining. 7(2). 1–25. 25 indexed citations
8.
Giacometti, Arnaud, Patrick Marcel, Elsa Negre, & Arnaud Soulet. (2009). Query recommendations for OLAP discovery driven analysis. 81–88. 25 indexed citations
9.
Amo, Sandra de, et al.. (2008). MILPRIT*. International Journal of Data Warehousing and Mining. 4(4). 42–61. 5 indexed citations
10.
Amo, Sandra de & Arnaud Giacometti. (2007). Temporal Conditional Preferences over Sequences of Objects. two. 246–253. 19 indexed citations
11.
Giacometti, Arnaud, et al.. (2003). Iterative Computation of Mining Queries based on Condensed Representations..

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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