Mirko Cesarini

773 total citations
39 papers, 399 citations indexed

About

Mirko Cesarini is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Mirko Cesarini has authored 39 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Information Systems and 12 papers in Management Science and Operations Research. Recurrent topics in Mirko Cesarini's work include Data Quality and Management (11 papers), Data Mining Algorithms and Applications (6 papers) and Big Data and Business Intelligence (5 papers). Mirko Cesarini is often cited by papers focused on Data Quality and Management (11 papers), Data Mining Algorithms and Applications (6 papers) and Big Data and Business Intelligence (5 papers). Mirko Cesarini collaborates with scholars based in Italy and Switzerland. Mirko Cesarini's co-authors include Mario Mezzanzanica, Fabio Mercorio, Roberto Boselli, Roberto Tedesco, Mattia Monga, Pietro Giorgio Lovaglio, Stefania Marrara, Marco Viviani, Gabriella Pasi and Antonio Picariello and has published in prestigious journals such as Journal of Cleaner Production, BioMed Research International and Future Generation Computer Systems.

In The Last Decade

Mirko Cesarini

34 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirko Cesarini Italy 10 145 141 58 50 48 39 399
Roberto Boselli Italy 9 99 0.7× 102 0.7× 38 0.7× 19 0.4× 44 0.9× 30 287
Tokuro Matsuo Japan 10 74 0.5× 158 1.1× 49 0.8× 39 0.8× 51 1.1× 103 417
Thang Le Dinh Canada 9 72 0.5× 104 0.7× 118 2.0× 43 0.9× 43 0.9× 44 412
Radha K. Mahapatra United States 6 114 0.8× 120 0.9× 99 1.7× 25 0.5× 62 1.3× 14 443
Mohammad Daradkeh Jordan 14 57 0.4× 93 0.7× 104 1.8× 41 0.8× 64 1.3× 48 493
Dirk Thorleuchter Germany 16 174 1.2× 233 1.7× 117 2.0× 29 0.6× 84 1.8× 28 640
Mu‐Jung Huang Taiwan 8 82 0.6× 132 0.9× 47 0.8× 15 0.3× 70 1.5× 14 408
Enric Junqué de Fortuny Belgium 10 110 0.8× 180 1.3× 62 1.1× 14 0.3× 112 2.3× 15 527
Zhangxi Lin United States 13 153 1.1× 108 0.8× 87 1.5× 30 0.6× 59 1.2× 33 582
Catherine Marinagi Greece 13 133 0.9× 43 0.3× 166 2.9× 34 0.7× 38 0.8× 27 545

Countries citing papers authored by Mirko Cesarini

Since Specialization
Citations

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

Fields of papers citing papers by Mirko Cesarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Cesarini

This figure shows the co-authorship network connecting the top 25 collaborators of Mirko Cesarini. A scholar is included among the top collaborators of Mirko Cesarini 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 Mirko Cesarini. Mirko Cesarini 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.
Cesarini, Mirko, et al.. (2024). A probabilistic spatio-temporal neural network to forecast COVID-19 counts. International Journal of Data Science and Analytics. 20(2). 1255–1262. 1 indexed citations
2.
Calciolari, Stefano, et al.. (2024). Sustainability disclosure in the pharmaceutical and chemical industries: Results from bibliometric analysis and AI-based comparison of financial reports. Journal of Cleaner Production. 447. 141511–141511. 7 indexed citations
3.
Melloni, Giorgio, Laura Raddrizzani, P. Rossi, et al.. (2018). PATRI, a Genomics Data Integration Tool for Biomarker Discovery. BioMed Research International. 2018. 1–13. 3 indexed citations
4.
Cesarini, Mirko, et al.. (2018). Inkjet printed hybrid light sensors based on titanium dioxide and PEDOT:PSS. Semiconductor Science and Technology. 34(2). 24005–24005. 7 indexed citations
5.
Cesarini, Mirko, Fabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, & Antonio Picariello. (2018). GraphDBLP Released: Querying the Computer Scientists Network as a Graph. BOA (University of Milano-Bicocca). 2161. 1.
6.
Boselli, Roberto, Mirko Cesarini, Stefania Marrara, et al.. (2017). WoLMIS: a labor market intelligence system for classifying web job vacancies. Journal of Intelligent Information Systems. 51(3). 477–502. 54 indexed citations
7.
Boselli, Roberto, Mirko Cesarini, Fabio Mercorio, & Mario Mezzanzanica. (2017). Labour market intelligence for supporting decision making. BOA (University of Milano-Bicocca). 74–81.
8.
Boselli, Roberto, Mirko Cesarini, Fabio Mercorio, Mario Mezzanzanica, & A. Vaccarino. (2017). A Pipeline for Multimedia Twitter Analysis through Graph Databases: Preliminary Results. BOA (University of Milano-Bicocca). 343–349. 5 indexed citations
9.
Amato, Flora, Roberto Boselli, Mirko Cesarini, et al.. (2015). Challenge: Processing web texts for classifying job offers. View. 460–463. 26 indexed citations
10.
Mezzanzanica, Mario, Roberto Boselli, Mirko Cesarini, & Fabio Mercorio. (2014). Improving Data Cleansing Accuracy - A Model-based Approach. BOA (University of Milano-Bicocca). 189–201. 1 indexed citations
11.
Boselli, Roberto, Mirko Cesarini, Fabio Mercorio, & Mario Mezzanzanica. (2014). Planning meets Data Cleansing. Proceedings of the International Conference on Automated Planning and Scheduling. 24. 439–443. 16 indexed citations
12.
Boselli, Roberto, Mirko Cesarini, Fabio Mercorio, & Mario Mezzanzanica. (2014). How the Social Media Contributes to the Recruitment Process. BOA (University of Milano-Bicocca). 3 indexed citations
13.
Boselli, Roberto, Mirko Cesarini, Fabio Mercorio, & Mario Mezzanzanica. (2013). Semantic Annotation of unstructured Wiki Knowledge according to Ontological Models. BOA (University of Milano-Bicocca). 75–80. 1 indexed citations
14.
Mezzanzanica, Mario, Mirko Cesarini, Fabio Mercorio, & Roberto Boselli. (2012). Towards the use of Model Checking for performing Data Consistency Evaluation and Cleansing. BOA (University of Milano-Bicocca). 163–177. 2 indexed citations
15.
Boselli, Roberto, Mirko Cesarini, & Mario Mezzanzanica. (2011). Framework Guidelines to Measure the Impact of Business Intelligence and Decision Support Methodologies in the Public sector. BOA (University of Milano-Bicocca). 2 indexed citations
16.
Cesarini, Mirko, et al.. (2007). Services Federation in the European Employment System. BOA (University of Milano-Bicocca).
17.
Cesarini, Mirko & Mario Mezzanzanica. (2007). E-Government as Decision Support System to improve public Services Provision. BOA (University of Milano-Bicocca). 1 indexed citations
18.
Cesarini, Mirko, et al.. (2006). The Italian E-Government Plans: Experiences in the Job Marketplace and in Statistical Information Systems. BOA (University of Milano-Bicocca). 57–65. 3 indexed citations
19.
Tedesco, Roberto, Mirko Cesarini, Sam Guinea, & Licia Sbattella. (2004). Innovative learning and teaching scenarios in Virtual Campus. 2004(1). 180–187. 4 indexed citations
20.
Cesarini, Mirko, et al.. (2004). Managing Code Dependencies in C#.. The Journal of Object Technology. 3(2). 47–47. 2 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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