Eugenio Cesario

1.0k total citations
51 papers, 616 citations indexed

About

Eugenio Cesario is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Eugenio Cesario has authored 51 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 17 papers in Information Systems and 17 papers in Signal Processing. Recurrent topics in Eugenio Cesario's work include Human Mobility and Location-Based Analysis (14 papers), Data Management and Algorithms (13 papers) and Data Mining Algorithms and Applications (11 papers). Eugenio Cesario is often cited by papers focused on Human Mobility and Location-Based Analysis (14 papers), Data Management and Algorithms (13 papers) and Data Mining Algorithms and Applications (11 papers). Eugenio Cesario collaborates with scholars based in Italy, India and United States. Eugenio Cesario's co-authors include Domenico Talia, Andrea Vinci, Charlie Catlett, Carmela Comito, Fabrizio Marozzo, Paolo Trunfio, Clara Pizzuti, Fabrizio Angiulli, Giuseppe Manco and Francesco Folino and has published in prestigious journals such as Information Sciences, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Eugenio Cesario

47 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugenio Cesario Italy 16 191 161 150 147 111 51 616
Xinjiang Lu China 13 211 1.1× 228 1.4× 132 0.9× 148 1.0× 55 0.5× 46 619
Chuishi Meng United States 12 415 2.2× 246 1.5× 50 0.3× 121 0.8× 107 1.0× 20 825
Bingqing Qu Switzerland 7 299 1.6× 307 1.9× 97 0.6× 241 1.6× 59 0.5× 16 665
Uwe Glässer Canada 16 214 1.1× 75 0.5× 107 0.7× 117 0.8× 122 1.1× 60 598
Zijun Yao United States 10 158 0.8× 555 3.4× 98 0.7× 445 3.0× 47 0.4× 25 855
Kaiqi Zhao New Zealand 15 441 2.3× 244 1.5× 145 1.0× 375 2.6× 51 0.5× 43 913
Houping Xiao United States 17 730 3.8× 141 0.9× 91 0.6× 131 0.9× 114 1.0× 37 1.0k
Kisung Lee United States 19 428 2.2× 58 0.4× 447 3.0× 236 1.6× 122 1.1× 67 1.1k
Yintao Yu United States 8 578 3.0× 94 0.6× 141 0.9× 282 1.9× 29 0.3× 11 931

Countries citing papers authored by Eugenio Cesario

Since Specialization
Citations

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

Fields of papers citing papers by Eugenio Cesario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugenio Cesario

This figure shows the co-authorship network connecting the top 25 collaborators of Eugenio Cesario. A scholar is included among the top collaborators of Eugenio Cesario 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 Eugenio Cesario. Eugenio Cesario 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.
Cesario, Eugenio, et al.. (2024). Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots. Journal Of Big Data. 11(1). 4 indexed citations
2.
Cesario, Eugenio, et al.. (2023). Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications. Big Data and Cognitive Computing. 7(1). 29–29. 6 indexed citations
3.
Cesario, Eugenio, Carmela Comito, & Ester Zumpano. (2023). A survey of the recent trends in deep learning for literature based discovery in the biomedical domain. Neurocomputing. 568. 127079–127079. 12 indexed citations
4.
Cesario, Eugenio. (2023). Big data analytics and smart cities: applications, challenges, and opportunities. Frontiers in Big Data. 6. 1149402–1149402. 19 indexed citations
5.
Cesario, Eugenio, et al.. (2023). Forecasting Tsunami Waves Using Regression Trees. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–7. 2 indexed citations
6.
Cesario, Eugenio, et al.. (2022). Multi-density urban hotspots detection in smart cities: A data-driven approach and experiments. Pervasive and Mobile Computing. 86. 101687–101687. 18 indexed citations
7.
Cesario, Eugenio, et al.. (2017). A Data-Driven Approach Based on Auto-Regressive Models for Energy-Efficient Clouds. 1062–1069. 2 indexed citations
8.
Cesario, Eugenio, et al.. (2016). Efficient workload management in geographically distributed data centers leveraging autoregressive models. AIP conference proceedings. 1776. 80004–80004. 2 indexed citations
9.
Cesario, Eugenio, et al.. (2016). Mining frequent items and itemsets from distributed data streams for emergency detection and management. Journal of Ambient Intelligence and Humanized Computing. 8(1). 47–55. 2 indexed citations
10.
Cesario, Eugenio, et al.. (2016). Trajectory Pattern Mining for Urban Computing in the Cloud. IEEE Transactions on Parallel and Distributed Systems. 1–1. 29 indexed citations
11.
Cesario, Eugenio, et al.. (2015). Following soccer fans from geotagged tweets at FIFA World Cup 2014. 33–38. 18 indexed citations
12.
Cesario, Eugenio, Carmela Comito, & Domenico Talia. (2013). Towards a Cloud-Based Framework for Urban Computing, The Trajectory Analysis Case. 16–23. 15 indexed citations
13.
Cesario, Eugenio, et al.. (2011). A Sketch-Based Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams. 3. 245–253. 4 indexed citations
14.
Cesario, Eugenio & Domenico Talia. (2010). Using Grids for Exploiting the Abundance of Data in Science. Scalable Computing Practice and Experience. 11(3). 251–262. 1 indexed citations
15.
Cesario, Eugenio, N. Caria, Carlo Mastroianni, & Domenico Talia. (2009). Distributed Data Mining using a Public Resource Computing Framework.. 33–44. 1 indexed citations
16.
Cesario, Eugenio & Domenico Talia. (2008). Distributed Data Mining Models as Services on the Grid. 486–495. 14 indexed citations
17.
Angiulli, Fabrizio, Eugenio Cesario, & Clara Pizzuti. (2007). Random walk biclustering for microarray data. Information Sciences. 178(6). 1479–1497. 31 indexed citations
18.
Cesario, Eugenio, Giuseppe Manco, & Riccardo Ortale. (2007). Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. IEEE Transactions on Knowledge and Data Engineering. 19(12). 1607–1624. 1 indexed citations
19.
Angiulli, Fabrizio, Eugenio Cesario, & Clara Pizzuti. (2006). A Greedy Search Approach to Co-clustering Sparse Binary Matrices. 363–370. 3 indexed citations
20.
Cesario, Eugenio, et al.. (2005). RecBoost: A Supervised Approach to Text Segmentation.. SEBD. 220–231. 1 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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