Sergio Consoli

1.7k total citations
66 papers, 762 citations indexed

About

Sergio Consoli is a scholar working on Artificial Intelligence, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sergio Consoli has authored 66 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 18 papers in Management Science and Operations Research and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sergio Consoli's work include Stock Market Forecasting Methods (17 papers), Semantic Web and Ontologies (12 papers) and Vehicle Routing Optimization Methods (11 papers). Sergio Consoli is often cited by papers focused on Stock Market Forecasting Methods (17 papers), Semantic Web and Ontologies (12 papers) and Vehicle Routing Optimization Methods (11 papers). Sergio Consoli collaborates with scholars based in Italy, United Kingdom and United States. Sergio Consoli's co-authors include Diego Reforgiato Recupero, Luca Barbaglia, Sebastiano Manzan, José Andrés Moreno Pérez, Valentina Presutti, Nenad Mladenović, Andrea Giovanni Nuzzolese, Aldo Gangemi, Milan Petković and Alessandro Sebastian Podda and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Sergio Consoli

63 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Consoli Italy 16 330 168 95 86 70 66 762
Abdellatif El Afia Morocco 13 237 0.7× 127 0.8× 92 1.0× 71 0.8× 142 2.0× 98 753
Johannes De Smedt Belgium 14 175 0.5× 145 0.9× 48 0.5× 144 1.7× 338 4.8× 49 744
Enza Messina Italy 18 480 1.5× 103 0.6× 53 0.6× 30 0.3× 109 1.6× 87 1.1k
David Martens Belgium 13 466 1.4× 100 0.6× 45 0.5× 44 0.5× 295 4.2× 78 1.1k
Seppe vanden Broucke Belgium 15 332 1.0× 109 0.6× 25 0.3× 47 0.5× 194 2.8× 59 824
An‐Pin Chen Taiwan 14 165 0.5× 239 1.4× 16 0.2× 110 1.3× 99 1.4× 70 708
Rua‐Huan Tsaih Taiwan 9 225 0.7× 188 1.1× 23 0.2× 103 1.2× 49 0.7× 45 545
Tracy Mullen United States 13 122 0.4× 156 0.9× 19 0.2× 66 0.8× 104 1.5× 35 589
Indranil Bose India 8 460 1.4× 148 0.9× 17 0.2× 38 0.4× 132 1.9× 21 824
Wichian Premchaiswadi Thailand 18 242 0.7× 103 0.6× 145 1.5× 34 0.4× 394 5.6× 140 1.0k

Countries citing papers authored by Sergio Consoli

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Consoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Consoli

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Consoli. A scholar is included among the top collaborators of Sergio Consoli 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 Sergio Consoli. Sergio Consoli 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.
Consoli, Sergio, et al.. (2025). On General and Biomedical Text-to-Graph Large Language Models. Semantic Web. 17(1).
2.
Consoli, Sergio, Pietro Coletti, Peter V. Markov, et al.. (2025). An epidemiological knowledge graph extracted from the World Health Organization’s Disease Outbreak News. Scientific Data. 12(1). 970–970.
3.
Barbaglia, Luca, Sergio Consoli, & Sebastiano Manzan. (2024). Forecasting GDP in Europe with textual data. Journal of Applied Econometrics. 39(2). 338–355. 5 indexed citations
4.
5.
Sartori, Claudio, et al.. (2024). Generative Adversarial Networks for Synthetic Data Generation in Finance: Evaluating Statistical Similarities and Quality Assessment. SHILAP Revista de lepidopterología. 5(2). 667–685. 21 indexed citations
6.
Lombardo, Gianfranco, et al.. (2024). Natural Language Processing and Deep Learning for Bankruptcy Prediction: An End-to-End Architecture. IEEE Access. 12. 151075–151091. 2 indexed citations
7.
Barbaglia, Luca, et al.. (2024). Sentiment analysis of economic text: A lexicon‐based approach. Economic Inquiry. 63(1). 125–143. 4 indexed citations
8.
Zavarella, Vanni, Sergio Consoli, Diego Reforgiato Recupero, et al.. (2024). Triplétoile: Extraction of knowledge from microblogging text. Heliyon. 10(12). e32479–e32479. 1 indexed citations
9.
Consoli, Sergio, et al.. (2023). Cultural gems linked open data: Mapping culture and intangible heritage in European cities. Data in Brief. 49. 109375–109375. 1 indexed citations
10.
Recupero, Diego Reforgiato, et al.. (2023). Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach. EPJ Data Science. 12(1). 3 indexed citations
11.
Carta, Salvatore, et al.. (2022). CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence. IEEE Access. 10. 127328–127344. 3 indexed citations
12.
Tosetti, Elisa, et al.. (2021). Emotions in macroeconomic news and their impact on the European bond market. ARCA (Università Ca' Foscari Venezia). 15 indexed citations
13.
Carta, Salvatore, et al.. (2021). Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage. IEEE Access. 9. 29942–29959. 8 indexed citations
14.
Carta, Salvatore, et al.. (2021). Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting. IEEE Access. 9. 30193–30205. 47 indexed citations
15.
Carta, Salvatore, et al.. (2021). Event detection in finance using hierarchical clustering algorithms on news and tweets. PeerJ Computer Science. 7. e438–e438. 16 indexed citations
16.
Consoli, Sergio, et al.. (2019). Artificial Intelligence in Clinical Health Care Applications: Viewpoint. Interactive Journal of Medical Research. 8(2). e12100–e12100. 47 indexed citations
17.
Recupero, Diego Reforgiato, et al.. (2018). Detecting and tracking ongoing topics in psychotherapeutic conversations.. Research Publications (Maastricht University). 2142. 97–108. 1 indexed citations
18.
Consoli, Sergio & Nikolaos I. Stilianakis. (2015). A quartet method based on variable neighborhood search for biomedical literature extraction and clustering. International Transactions in Operational Research. 24(3). 537–558. 8 indexed citations
19.
Recupero, Diego Reforgiato, Andrea Giovanni Nuzzolese, Sergio Consoli, et al.. (2015). Extracting knowledge from text using SHELDON, a Semantic Holistic framEwork for LinkeD ONtology data. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 235–238. 9 indexed citations
20.
Consoli, Sergio, Aldo Gangemi, Andrea Giovanni Nuzzolese, et al.. (2014). Towards emergency vehicle routing using Geolinked Open Data: the case study of the Municipality of Catania. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1329. 31–42. 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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