Rosa Meo

1.6k total citations
51 papers, 717 citations indexed

About

Rosa Meo is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rosa Meo has authored 51 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 18 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Rosa Meo's work include Data Mining Algorithms and Applications (19 papers), Rough Sets and Fuzzy Logic (11 papers) and Data Management and Algorithms (10 papers). Rosa Meo is often cited by papers focused on Data Mining Algorithms and Applications (19 papers), Rough Sets and Fuzzy Logic (11 papers) and Data Management and Algorithms (10 papers). Rosa Meo collaborates with scholars based in Italy, France and Germany. Rosa Meo's co-authors include Giuseppe Psaila, Stefano Ceri, Dino Ienco, Ruggero G. Pensa, Toon Calders, Floriana Esposito, Eyke Hüllermeier, Emilio Sulis, Mika Klemettinen and C. Simoné and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Sensors.

In The Last Decade

Rosa Meo

48 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rosa Meo Italy	13	340	322	205	181	156	51	717
Yun Sing Koh New Zealand	17	395 1.2×	636 2.0×	156 0.8×	145 0.8×	145 0.9×	81	986
Ran Wolff Israel	16	314 0.9×	527 1.6×	164 0.8×	367 2.0×	111 0.7×	31	874
Xiangjun Dong China	19	544 1.6×	486 1.5×	177 0.9×	131 0.7×	305 2.0×	98	1.0k
Feng Pan China	15	152 0.4×	482 1.5×	113 0.6×	203 1.1×	74 0.5×	62	765
Nguyễn Long Giang Vietnam	14	172 0.5×	237 0.7×	119 0.6×	154 0.9×	117 0.8×	68	751
Andrea Vattani United States	11	144 0.4×	476 1.5×	184 0.9×	157 0.9×	96 0.6×	14	833
Stuart H. Rubin United States	11	187 0.6×	521 1.6×	166 0.8×	358 2.0×	83 0.5×	120	906
Yihua Chen China	8	199 0.6×	259 0.8×	65 0.3×	119 0.7×	112 0.7×	27	790
S. Kanmani India	12	392 1.2×	311 1.0×	88 0.4×	136 0.8×	61 0.4×	62	761

Countries citing papers authored by Rosa Meo

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Meo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Meo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nardo, Elvira Di, et al.. (2025). Hyperparameter optimization of machine learning models for predicting actual evapotranspiration. Machine Learning with Applications. 20. 100661–100661. 1 indexed citations

Sulis, Emilio, et al.. (2025). Leveraging process mining and event log enrichment in European public procurement analysis: a case study. Computer law & security review. 57. 106144–106144. 1 indexed citations

Nardo, Elvira Di, et al.. (2024). Identifying time patterns of highland and lowland air temperature trends in Italy and the UK across monthly and annual scales. SHILAP Revista de lepidopterología. 10(2). 173–194. 1 indexed citations

Maurella, Cristiana, Leonardo A. Ceballos, E. Crescio, et al.. (2024). Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy. Veterinary Research. 55(1). 72–72. 12 indexed citations

Meo, Rosa, et al.. (2024). Analysis of Diurnal Air Temperature Trends and Pattern Similarities in Highland and Lowland Stations of Italy and UK. International Journal of Climatology. 44(15). 5398–5417. 3 indexed citations

Sulis, Emilio, et al.. (2024). ITH: an open database on Italian Tenders 2016–2023. Scientific Data. 11(1). 1452–1452. 1 indexed citations

Meo, Rosa, et al.. (2024). Breaking the trend: Anomaly detection models for early warning of socio-political unrest. Technological Forecasting and Social Change. 206. 123495–123495. 1 indexed citations

Meo, Rosa, et al.. (2023). EU−Africa: Digital and Social Questions in a Multicultural Agroecological Transition for the Cocoa Production in Africa. Social Sciences. 12(7). 398–398. 1 indexed citations

Ferraris, Stefano, et al.. (2023). Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D’Ivoire. Sensors. 23(17). 7632–7632. 3 indexed citations

10.

Augello, Agnese, et al.. (2020). How are you? How a Robot can Learn to Express its own Roboceptions. Procedia Computer Science. 176. 480–489. 1 indexed citations

11.

Gena, Cristina, et al.. (2020). Intelligent monitoring applications for Industry 4.0. 67–68. 3 indexed citations

12.

Rizzo, Giuseppe, Rosa Meo, Ruggero G. Pensa, Gıacomo Falcone, & Raphaël Troncy. (2016). Shaping City Neighborhoods Leveraging Crowd Sensors. Information Systems. 64. 368–378. 7 indexed citations

13.

Meo, Rosa, et al.. (2015). Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications. 8. 334–340. 1 indexed citations

14.

Calders, Toon, Floriana Esposito, Eyke Hüllermeier, & Rosa Meo. (2014). Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 8724. 1 indexed citations

15.

Calders, Toon, et al.. (2014). Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations

16.

Esposito, Roberto, Rosa Meo, & Marco Botta. (2006). Answering constraint-based mining queries on itemsets using previous materialized results. Journal of Intelligent Information Systems. 26(1). 95–111. 2 indexed citations

17.

Meo, Rosa, Pier Luca Lanzi, & Mika Klemettinen. (2004). Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries (Lecture Notes in Computer Science). Springer eBooks. 3 indexed citations

18.

Meo, Rosa & Maristella Matera. (2004). Integrating web conceptual modeling and web usage mining.

19.

Meo, Rosa & Giuseppe Psaila. (2003). Toward XML-based knowledge discovery systems. 2. 665–668. 8 indexed citations

20.

Meo, Rosa, Giuseppe Psaila, & Stefano Ceri. (1996). A New SQL-like Operator for Mining Association Rules. Very Large Data Bases. 22. 122–133. 155 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.

Explore authors with similar magnitude of impact