Sandro Bimonte

1.1k total citations
68 papers, 356 citations indexed

About

Sandro Bimonte is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Sandro Bimonte has authored 68 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 36 papers in Signal Processing and 24 papers in Information Systems. Recurrent topics in Sandro Bimonte's work include Advanced Database Systems and Queries (41 papers), Data Management and Algorithms (36 papers) and Semantic Web and Ontologies (14 papers). Sandro Bimonte is often cited by papers focused on Advanced Database Systems and Queries (41 papers), Data Management and Algorithms (36 papers) and Semantic Web and Ontologies (14 papers). Sandro Bimonte collaborates with scholars based in France, Italy and Morocco. Sandro Bimonte's co-authors include François Pinet, Stefano Rizzi, Jean-Pierre Chanet, Maryvonne Miquel, Enrico Gallinucci, Michel Schneider, Anne Tchounikine, Patrick Marcel, Michela Bertolotto and Jérôme Gensel and has published in prestigious journals such as Landscape and Urban Planning, IEEE Transactions on Knowledge and Data Engineering and IEEE Internet of Things Journal.

In The Last Decade

Sandro Bimonte

62 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandro Bimonte France 11 148 136 101 68 60 68 356
François Pinet France 12 135 0.9× 146 1.1× 86 0.9× 64 0.9× 24 0.4× 59 368
Laurent Lefort Australia 9 135 0.9× 68 0.5× 120 1.2× 213 3.1× 23 0.4× 20 394
F. Javier Zarazaga‐Soria Spain 15 98 0.7× 188 1.4× 160 1.6× 249 3.7× 15 0.3× 73 668
Ramon Lawrence Canada 12 207 1.4× 71 0.5× 127 1.3× 118 1.7× 21 0.3× 63 496
Farshad Hakimpour Iran 13 158 1.1× 62 0.5× 265 2.6× 296 4.4× 89 1.5× 45 539
Thomas Everding Germany 5 158 1.1× 122 0.9× 79 0.8× 118 1.7× 6 0.1× 9 396
Theodor Foerster Germany 14 120 0.8× 161 1.2× 110 1.1× 105 1.5× 8 0.1× 25 404
Vilhelm Verendel Sweden 11 87 0.6× 46 0.3× 124 1.2× 47 0.7× 13 0.2× 19 574
Sukhjit Singh Sehra India 13 54 0.4× 94 0.7× 103 1.0× 60 0.9× 10 0.2× 30 406
Francisco J. López-Pellicer Spain 10 20 0.1× 85 0.6× 65 0.6× 113 1.7× 12 0.2× 54 317

Countries citing papers authored by Sandro Bimonte

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Bimonte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandro Bimonte

This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Bimonte. A scholar is included among the top collaborators of Sandro Bimonte 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 Sandro Bimonte. Sandro Bimonte 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
1.
Hermes, Johannes, et al.. (2025). Assessing recreationists’ preferences of the landscape and species using crowdsourced images and machine learning. Landscape and Urban Planning. 257. 105315–105315. 4 indexed citations
2.
Bimonte, Sandro, et al.. (2025). An MDA approach for robotic-based real-time business intelligence applications. Data & Knowledge Engineering. 157. 102418–102418. 1 indexed citations
3.
Bimonte, Sandro, et al.. (2025). Data management and processing for IoT & robotics in smart farming: A survey. SPIRE - Sciences Po Institutional REpository. 85. 101355–101355.
4.
Bimonte, Sandro, Gianni Bellocchi, François Pinet, et al.. (2024). Technological and Research Challenges in Data Engineering for Sustainable Agriculture. SPIRE - Sciences Po Institutional REpository. 1–6. 2 indexed citations
5.
Badir, Hassan, et al.. (2024). Requirements Engineering for Continuous Queries on IoRT Data: A Case Study in Agricultural Autonomous Robots Monitoring. SPIRE - Sciences Po Institutional REpository. 113–120.
6.
Fox, Nathan, et al.. (2023). A trail-based approach using crowdsourced data to assess recreationists' preferences for landscape. Landscape and Urban Planning. 233. 104700–104700. 11 indexed citations
7.
Bimonte, Sandro, Enrico Gallinucci, Patrick Marcel, & Stefano Rizzi. (2022). Logical design of multi-model data warehouses. Knowledge and Information Systems. 65(3). 1067–1103. 8 indexed citations
8.
Bimonte, Sandro, et al.. (2022). Multidimensional modeling driven from a domain language. Automated Software Engineering. 30(1). 1 indexed citations
9.
Bimonte, Sandro, et al.. (2020). Requirements-driven data warehouse design based on enhanced pivot tables. Requirements Engineering. 26(1). 43–65. 10 indexed citations
10.
Bimonte, Sandro, et al.. (2019). Une nouvelle méthodologie de géovisualisation pour les entrepôts de données de trajectoires.. 143–157. 1 indexed citations
11.
Bimonte, Sandro, et al.. (2018). A new decision-support system for the historical analysis of integrated pest management activities on olive crops based on climatic data. Computers and Electronics in Agriculture. 148. 237–249. 12 indexed citations
12.
Bimonte, Sandro, et al.. (2016). Une architecture orientée services pour l'OLAP Spatial.. HAL (Le Centre pour la Communication Scientifique Directe). 17–24. 1 indexed citations
13.
Bimonte, Sandro, et al.. (2016). Conceptual design and implementation of spatial data warehouses integrating regular grids of points. International Journal of Digital Earth. 10(9). 901–922. 5 indexed citations
14.
Bimonte, Sandro, et al.. (2016). A system for the rapid design and implementation of Personalized Agricultural Key Performance Indicators issued from sensor data. Computers and Electronics in Agriculture. 130. 1–12. 3 indexed citations
15.
Pinet, François, et al.. (2014). Performance optimization of grid aggregation in spatial data warehouses. International Journal of Digital Earth. 8(12). 970–988. 1 indexed citations
16.
Bimonte, Sandro, et al.. (2014). Une étude sur l'efficacité des méthodes de conception et d'implémentation pour les Entrepôts de Données par une méthodologie « requirement-based »: Cas d'étude de la consommation d'énergie en agriculture.. HAL (Le Centre pour la Communication Scientifique Directe). 119–128.
17.
Pinet, François, Sandro Bimonte, Nadia Carluer, et al.. (2013). Guaranteeing the quality of multidimensional analysis in data warehouses of simulation results: Application to pesticide transfer data produced by the MACRO model. Ecological Informatics. 16. 41–52. 9 indexed citations
18.
Bimonte, Sandro, et al.. (2012). New Conceptual Modeling Requirements for Stream Data Warehouses (C) .. 463–472. 1 indexed citations
19.
Bimonte, Sandro. (2008). Des entrepôts de données, l’analyse en ligne et l’information géographique. Journal of Decision System. 17(4). 463–486. 1 indexed citations
20.
Bimonte, Sandro, Jérôme Gensel, & Michela Bertolotto. (2008). Enriching Spatial OLAP with Map Generalization: a Conceptual Multidimensional Model. 5. 332–341. 5 indexed citations

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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