Claudio Conversano

734 total citations
52 papers, 394 citations indexed

About

Claudio Conversano is a scholar working on Artificial Intelligence, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Claudio Conversano has authored 52 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Economics and Econometrics and 7 papers in Sociology and Political Science. Recurrent topics in Claudio Conversano's work include Data Management and Algorithms (5 papers), Bayesian Methods and Mixture Models (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Claudio Conversano is often cited by papers focused on Data Management and Algorithms (5 papers), Bayesian Methods and Mixture Models (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Claudio Conversano collaborates with scholars based in Italy, United Kingdom and Netherlands. Claudio Conversano's co-authors include Andrea Carta, Elise Dusseldorp, Francesco Molà, Roberta Siciliano, Marco Ortu, Giuseppe Destefanis, Luca Frigau, Silvia Bartolucci, Alessandro Olivo and Benedetto Barabino and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Claudio Conversano

43 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Conversano Italy 11 84 78 63 56 55 52 394
Christian Braun Germany 13 63 0.8× 109 1.4× 133 2.1× 36 0.6× 112 2.0× 39 654
Inbal Yahav Israel 12 26 0.3× 145 1.9× 70 1.1× 47 0.8× 46 0.8× 45 538
Xiangnan Feng China 14 86 1.0× 88 1.1× 9 0.1× 134 2.4× 34 0.6× 38 521
Sören R. Künzel United States 2 108 1.3× 99 1.3× 22 0.3× 259 4.6× 36 0.7× 2 471
Morteza Aalabaf‐Sabaghi Iran 8 39 0.5× 61 0.8× 29 0.5× 25 0.4× 31 0.6× 14 277
Weiyi Liu China 12 220 2.6× 58 0.7× 182 2.9× 15 0.3× 87 1.6× 62 557
Zhixuan Chu United States 6 25 0.3× 193 2.5× 75 1.2× 58 1.0× 40 0.7× 18 373
William J. Tastle United States 11 41 0.5× 53 0.7× 51 0.8× 9 0.2× 65 1.2× 32 413
Jiawei Li United Kingdom 13 16 0.2× 142 1.8× 26 0.4× 25 0.4× 104 1.9× 40 458
Silvia Figini Italy 13 97 1.2× 142 1.8× 76 1.2× 26 0.5× 51 0.9× 53 651

Countries citing papers authored by Claudio Conversano

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Conversano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Conversano

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Conversano. A scholar is included among the top collaborators of Claudio Conversano 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 Claudio Conversano. Claudio Conversano 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.
Conversano, Claudio, et al.. (2025). Particle swarm optimization for preference rankings. Advances in Data Analysis and Classification.
2.
Squassina, Alessio, Pasquale Paribello, Marco Pinna, et al.. (2025). A naturalistic retrospective evaluation of the utility of pharmacogenetic testing based on CYP2D6 e CYP2C19 profiling in antidepressants treatment in a cohort of patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 137. 111292–111292. 1 indexed citations
3.
D’Ambrosio, Antonio, et al.. (2024). Explaining Central Government’s Tax Revenue Categories through the Bradley-Terry Regression Trunk Model. SHILAP Revista de lepidopterología. 11(1). 1 indexed citations
4.
Conversano, Claudio, et al.. (2024). Automatic Topic Title Assignment with Word Embedding. Journal of Classification. 41(3). 650–677.
5.
Busonero, Fabio, Stefania Lenarduzzi, Francesca Crobu, et al.. (2024). The Women4Health cohort: a unique cohort to study women-specific mechanisms of cardio-metabolic regulation. European Heart Journal Open. 4(2). oeae012–oeae012. 3 indexed citations
6.
Conversano, Claudio, et al.. (2024). Overlapping coefficient in network-based semi-supervised clustering. Computational Statistics. 39(7). 3831–3854.
7.
Molà, Francesco, et al.. (2023). Threshold-based Naïve Bayes classifier. Advances in Data Analysis and Classification. 18(2). 325–361. 7 indexed citations
8.
Conversano, Claudio, et al.. (2023). Iterative threshold-based Naïve bayes classifier. Statistical Methods & Applications. 33(1). 235–265. 7 indexed citations
9.
Coppola, Floriana, et al.. (2023). Near-Infrared Spectroscopy and Machine Learning for Accurate Dating of Historical Books. Journal of the American Chemical Society. 145(22). 12305–12314. 13 indexed citations
10.
Molà, Francesco, et al.. (2023). Using sentiment analysis to evaluate the impact of the COVID-19 outbreak on Italy’s country reputation and stock market performance. Statistical Methods & Applications. 32(3). 1001–1022. 3 indexed citations
11.
Dusseldorp, Elise, et al.. (2022). The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees. Psychometrika. 88(4). 1443–1465. 1 indexed citations
12.
13.
14.
Conversano, Claudio, et al.. (2021). Application of Eye Tracking Technology in Medicine: A Bibliometric Analysis. Vision. 5(4). 56–56. 24 indexed citations
15.
Carta, Andrea & Claudio Conversano. (2021). Cost utility analysis of Remdesivir and Dexamethasone treatment for hospitalised COVID-19 patients - a hypothetical study. BMC Health Services Research. 21(1). 986–986. 16 indexed citations
16.
17.
Carta, Andrea & Claudio Conversano. (2020). On the Use of Markov Models in Pharmacoeconomics: Pros and Cons and Implications for Policy Makers. Frontiers in Public Health. 8. 569500–569500. 36 indexed citations
18.
Conversano, Claudio, et al.. (2019). Information Content, Interactivity, and Online Popularity of the Websites of World Heritage Sites: Evidence from France, Italy, and Spain. Tourism Culture & Communication. 19(2). 111–133. 4 indexed citations
19.
Molà, Francesco, et al.. (2016). Classification of Images Background Subtraction in Image Segmentation. UNICA IRIS Institutional Research Information System (University of Cagliari). 55(1). 73–86.
20.
Conversano, Claudio & Domenico Vistocco. (2004). Model Based Visualization of Portfolio Style Analysis. UNICA IRIS Institutional Research Information System (University of Cagliari). 1. 815–822.

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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