Michele Berlingerio

1.9k total citations
32 papers, 920 citations indexed

About

Michele Berlingerio is a scholar working on Statistical and Nonlinear Physics, Transportation and Artificial Intelligence. According to data from OpenAlex, Michele Berlingerio has authored 32 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 11 papers in Transportation and 10 papers in Artificial Intelligence. Recurrent topics in Michele Berlingerio's work include Complex Network Analysis Techniques (14 papers), Human Mobility and Location-Based Analysis (10 papers) and Transportation Planning and Optimization (6 papers). Michele Berlingerio is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Human Mobility and Location-Based Analysis (10 papers) and Transportation Planning and Optimization (6 papers). Michele Berlingerio collaborates with scholars based in Italy, Ireland and United States. Michele Berlingerio's co-authors include Fosca Giannotti, Michele Coscia, Francesco Bonchi, Francesco Calabrese, Dino Pedreschi, Anna Monreale, Fabio Pinelli, Marco Luca Sbodio, Rahul Nair and Laura Ferrari and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Michele Berlingerio

31 papers receiving 877 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Berlingerio Italy 16 394 285 248 114 105 32 920
Wenjun Wang China 14 147 0.4× 286 1.0× 117 0.5× 111 1.0× 87 0.8× 122 757
Einat Minkov Israel 19 133 0.3× 575 2.0× 203 0.8× 281 2.5× 125 1.2× 47 1.2k
Yunpeng Xiao China 18 523 1.3× 279 1.0× 128 0.5× 245 2.1× 268 2.6× 141 1.3k
Liang Gou United States 18 294 0.7× 709 2.5× 69 0.3× 242 2.1× 87 0.8× 43 1.2k
Yaniv Altshuler United States 15 100 0.3× 130 0.5× 87 0.4× 146 1.3× 185 1.8× 36 764
Jiamou Liu New Zealand 13 88 0.2× 280 1.0× 76 0.3× 203 1.8× 94 0.9× 96 692
Kwan Hui Lim Singapore 19 153 0.4× 474 1.7× 343 1.4× 443 3.9× 92 0.9× 65 1.2k
Manos Papagelis Canada 12 132 0.3× 250 0.9× 68 0.3× 194 1.7× 93 0.9× 46 726
Charu C. Aggarwal United States 13 340 0.9× 600 2.1× 79 0.3× 195 1.7× 174 1.7× 24 1.1k
Xinran He United States 12 505 1.3× 401 1.4× 61 0.2× 400 3.5× 212 2.0× 31 1.2k

Countries citing papers authored by Michele Berlingerio

Since Specialization
Citations

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

Fields of papers citing papers by Michele Berlingerio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Berlingerio

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Berlingerio. A scholar is included among the top collaborators of Michele Berlingerio 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 Michele Berlingerio. Michele Berlingerio 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.
Botea, Adi, et al.. (2019). Computing Multi-Modal Journey Plans under Uncertainty. Journal of Artificial Intelligence Research. 65. 633–674. 3 indexed citations
2.
Brefeld, Ulf, Edward Curry, Elizabeth Daly, et al.. (2019). Machine Learning and Knowledge Discovery in Databases. Lecture notes in computer science. 10 indexed citations
3.
Berlingerio, Michele, et al.. (2019). Machine Learning and Knowledge Discovery in Databases. Lecture notes in computer science. 67 indexed citations
4.
Guidotti, Riccardo, et al.. (2015). Social or Green? A Data-Driven Approach for More Enjoyable Carpooling. CINECA IRIS Institutial research information system (University of Pisa). 5 indexed citations
5.
Daly, Elizabeth, et al.. (2015). Crowd Sourcing, with a Few Answers. 253–256. 2 indexed citations
6.
Berlingerio, Michele, Francesco Calabrese, Giusy Di Lorenzo, et al.. (2014). AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 3 indexed citations
7.
Berlingerio, Michele, Fabio Pinelli, & Francesco Calabrese. (2013). ABACUS: Apriori-BAsed Community discovery in mUltidimensional networkS. arXiv (Cornell University). 1 indexed citations
8.
Ferrari, Laura, Michele Berlingerio, Francesco Calabrese, & Jonathan Reades. (2013). Improving the accessibility of urban transportation networks for people with disabilities. Transportation Research Part C Emerging Technologies. 45. 27–40. 68 indexed citations
9.
Berlingerio, Michele, Michele Coscia, Fosca Giannotti, Anna Monreale, & Dino Pedreschi. (2013). Evolving networks: Eras and turning points. Intelligent Data Analysis. 17(1). 27–48. 12 indexed citations
10.
Botea, Adi, Evdokia Nikolova, & Michele Berlingerio. (2013). Multi-Modal Journey Planning in the Presence of Uncertainty. Proceedings of the International Conference on Automated Planning and Scheduling. 23. 20–28. 28 indexed citations
11.
Ferrari, Laura, et al.. (2012). Measuring Public-Transport Accessibility Using Pervasive Mobility Data. IEEE Pervasive Computing. 12(1). 26–33. 10 indexed citations
12.
Berlingerio, Michele, Michele Coscia, & Fosca Giannotti. (2011). Finding and Characterizing Communities in Multidimensional Networks. ISTI Open Portal. 490–494. 71 indexed citations
13.
Berlingerio, Michele, Michele Coscia, Fosca Giannotti, Anna Monreale, & Dino Pedreschi. (2011). The pursuit of hubbiness: Analysis of hubs in large multidimensional networks. Journal of Computational Science. 2(3). 223–237. 27 indexed citations
14.
Berlingerio, Michele, Michele Coscia, Fosca Giannotti, Anna Monreale, & Dino Pedreschi. (2011). Foundations of Multidimensional Network Analysis. CINECA IRIS Institutial research information system (University of Pisa). 485–489. 66 indexed citations
15.
Rossetti, Giulio, Michele Berlingerio, & Fosca Giannotti. (2011). Scalable Link Prediction on Multidimensional Networks. ISTI Open Portal. 979–986. 34 indexed citations
16.
Berlingerio, Michele, Michele Coscia, & Fosca Giannotti. (2011). Finding redundant and complementary communities in multidimensional networks. ISTI Open Portal. 2181–2184. 23 indexed citations
17.
Berlingerio, Michele, Michele Coscia, Fosca Giannotti, Anna Monreale, & Dino Pedreschi. (2010). Towards discovery of eras in social networks. CINECA IRIS Institutial research information system (University of Pisa). 278–281. 3 indexed citations
18.
Berlingerio, Michele, Francesco Bonchi, Fosca Giannotti, & Franco Turini. (2007). Mining Clinical Data with a Temporal Dimension: A Case Study. PubMed. 2007. 429–436. 21 indexed citations
19.
Berlingerio, Michele, Francesco Bonchi, Fosca Giannotti, & Franco Turini. (2007). Time-Annotated Sequences for Medical Data Mining. 70. 133–138. 40 indexed citations
20.
Berlingerio, Michele, et al.. (2006). Mining HLA Patterns Explaining Liver Diseases. 54. 702–707. 4 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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