Francesca Bugiotti

727 total citations
20 papers, 232 citations indexed

About

Francesca Bugiotti is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Francesca Bugiotti has authored 20 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Francesca Bugiotti's work include Advanced Database Systems and Queries (9 papers), Semantic Web and Ontologies (5 papers) and Cloud Computing and Resource Management (4 papers). Francesca Bugiotti is often cited by papers focused on Advanced Database Systems and Queries (9 papers), Semantic Web and Ontologies (5 papers) and Cloud Computing and Resource Management (4 papers). Francesca Bugiotti collaborates with scholars based in France, Italy and Spain. Francesca Bugiotti's co-authors include Paolo Atzeni, Luca Rossi, Luca Cabibbo, Riccardo Torlone, Tatiana Morosuk, Antoine Harfouche, Alin Deutsch, Ioana Manolescu, Luigi Bellomarini and Frédéric Magoulès and has published in prestigious journals such as Energies, Information Systems and Data & Knowledge Engineering.

In The Last Decade

Francesca Bugiotti

17 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesca Bugiotti France	8	144	103	65	46	45	20	232
Martin Kleppmann United Kingdom	9	194 1.3×	121 1.2×	61 0.9×	23 0.5×	9 0.2×	24	279
D. S. Lavrova Russia	10	116 0.8×	81 0.8×	62 1.0×	35 0.8×	21 0.5×	43	308
M. Aramudhan India	9	116 0.8×	147 1.4×	91 1.4×	17 0.4×	16 0.4×	49	265
Rohitash Kumar Banyal India	10	111 0.8×	162 1.6×	78 1.2×	27 0.6×	10 0.2×	22	284
Karamjit Kaur India	9	111 0.8×	82 0.8×	65 1.0×	20 0.4×	29 0.6×	20	242
N. Narasimhan United States	6	152 1.1×	161 1.6×	65 1.0×	70 1.5×	24 0.5×	12	318
Rubén Trapero Germany	9	189 1.3×	190 1.8×	79 1.2×	37 0.8×	14 0.3×	19	314
Jin Hyun Son South Korea	9	134 0.9×	105 1.0×	44 0.7×	41 0.9×	20 0.4×	37	254
Sophie Chabridon France	10	150 1.0×	88 0.9×	46 0.7×	12 0.3×	13 0.3×	28	222
Daniel W. Barowy United States	8	65 0.5×	81 0.8×	84 1.3×	21 0.5×	57 1.3×	10	262

Countries citing papers authored by Francesca Bugiotti

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Bugiotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Bugiotti

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

All Works

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20 of 20 papers shown

Gilman, Ekaterina, Francesca Bugiotti, Panos Kostakos, et al.. (2024). Addressing Data Challenges to Drive the Transformation of Smart Cities. ACM Transactions on Intelligent Systems and Technology. 15(5). 1–65. 10 indexed citations

Bugiotti, Francesca, et al.. (2024). To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data. Data & Knowledge Engineering. 152. 102313–102313. 8 indexed citations

Bugiotti, Francesca, et al.. (2023). Artificial Intelligence and Machine Learning in Energy Conversion and Management. Energies. 16(23). 7773–7773. 14 indexed citations

Harfouche, Antoine, et al.. (2023). Human-Centric AI to Mitigate AI Biases. Journal of Global Information Management. 31(5). 1–23. 13 indexed citations

Hong, Victor, et al.. (2023). A multi-source graph database to showcase a recommender system for dyslexic students. SPIRE - Sciences Po Institutional REpository. 26. 3134–3138. 1 indexed citations

Abelló, Alberto, Panos Vassiliadis, Oscar Romero, et al.. (2023). New Trends in Database and Information Systems. Communications in computer and information science.

Lin, Siying, et al.. (2022). A Comparison Study of Graph Neural Network and Support Vector Machine. SPIRE - Sciences Po Institutional REpository. abs/1609.02907. 46–49. 1 indexed citations

Bugiotti, Francesca, et al.. (2022). Graph Neural Network-based Surrogate Models for Finite Element Analysis. 54–57. 7 indexed citations

Bugiotti, Francesca, et al.. (2022). Point-Cloud-based Deep Learning Models for Finite Element Analysis. SPIRE - Sciences Po Institutional REpository. 50–53. 1 indexed citations

10.

Bugiotti, Francesca, et al.. (2021). BGRAP: Balanced GRAph Partitioning Algorithm for Large Graphs. SPIRE - Sciences Po Institutional REpository. 2(2). 116–135. 3 indexed citations

11.

Bugiotti, Francesca, et al.. (2018). A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter. Data Science and Engineering. 3(2). 86–100. 7 indexed citations

12.

Atzeni, Paolo, et al.. (2017). Executable schema mappings for statistical data processing. Distributed and Parallel Databases. 36(2). 265–300. 1 indexed citations

13.

Atzeni, Paolo, Francesca Bugiotti, Luca Cabibbo, & Riccardo Torlone. (2016). Data modeling in the NoSQL world. Computer Standards & Interfaces. 67. 103149–103149. 62 indexed citations

14.

Bugiotti, Francesca, et al.. (2015). Invisible Glue: Scalable Self-Tunning Multi-Stores.. Conference on Innovative Data Systems Research. 21 indexed citations

15.

Atzeni, Paolo, Francesca Bugiotti, & Luca Rossi. (2013). Uniform access to NoSQL systems. Information Systems. 43. 117–133. 64 indexed citations

16.

Bugiotti, Francesca & Luca Cabibbo. (2013). A Comparison of Data Models and APIs of NoSQL Datastores. 63–74. 5 indexed citations

17.

Atzeni, Paolo, Luigi Bellomarini, & Francesca Bugiotti. (2013). EXLEngine. Iris (Roma Tre University). 672–682. 3 indexed citations

18.

Atzeni, Paolo, Francesca Bugiotti, & Luca Rossi. (2012). SOS (save our systems). Iris (Roma Tre University). 582–585. 4 indexed citations

19.

Atzeni, Paolo, et al.. (2011). A runtime approach to model-generic translation of schema and data. Information Systems. 37(3). 269–287. 7 indexed citations

20.

Atzeni, Paolo, et al.. (2008). A platform for model-independent solutions to model management problems.. Iris (Roma Tre University). 310–317.

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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