Massimo Esposito

3.9k total citations · 1 hit paper
129 papers, 2.2k citations indexed

About

Massimo Esposito is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Massimo Esposito has authored 129 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Massimo Esposito's work include Topic Modeling (29 papers), Natural Language Processing Techniques (16 papers) and Fuzzy Logic and Control Systems (15 papers). Massimo Esposito is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (16 papers) and Fuzzy Logic and Control Systems (15 papers). Massimo Esposito collaborates with scholars based in Italy, Japan and India. Massimo Esposito's co-authors include Giuseppe De Pietro, Marco Pota, Hamido Fujita, Umberto Maniscalco, Ciro Mennella, Rosario Catelli, Aniello Minutolo, Antonio Coronato, Valentina Casola and Francesco Gargiulo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Massimo Esposito

123 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ethical and regulatory challenges of AI technologies in healthcare: A narrative review

2024 314 citations Giuseppe De Pietro, Massimo Esposito et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Esposito Italy	24	1.0k	240	203	186	170	129	2.2k
Xiaohui Tao Australia	27	1.4k 1.3×	553 2.3×	271 1.3×	128 0.7×	193 1.1×	205	2.8k
Alfredo Vellido Spain	23	936 0.9×	136 0.6×	231 1.1×	158 0.8×	337 2.0×	136	2.3k
Ashish Gupta United States	26	589 0.6×	337 1.4×	219 1.1×	152 0.8×	208 1.2×	89	2.9k
Amina Adadi Morocco	10	2.1k 2.1×	276 1.1×	314 1.5×	448 2.4×	187 1.1×	19	3.5k
Karl Kumbier United States	6	1.9k 1.9×	205 0.9×	249 1.2×	152 0.8×	172 1.0×	13	3.1k
David Gunning United States	8	1.3k 1.3×	151 0.6×	171 0.8×	289 1.6×	140 0.8×	13	2.3k
Prakash M. Nadkarni United States	22	931 0.9×	204 0.8×	74 0.4×	151 0.8×	119 0.7×	83	2.3k
Rayid Ghani United States	25	1.5k 1.5×	544 2.3×	378 1.9×	190 1.0×	103 0.6×	76	2.5k
Carsten Eickhoff United States	20	710 0.7×	361 1.5×	123 0.6×	182 1.0×	120 0.7×	117	1.8k
Lin Li China	22	1.0k 1.0×	428 1.8×	367 1.8×	78 0.4×	70 0.4×	243	2.0k

Countries citing papers authored by Massimo Esposito

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Esposito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Esposito

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Esposito. A scholar is included among the top collaborators of Massimo Esposito 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 Massimo Esposito. Massimo Esposito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Minutolo, Aniello, et al.. (2024). Quantum transfer learning for acceptability judgements. Quantum Machine Intelligence. 6(1). 12 indexed citations

Esposito, Massimo. (2024). GPT: ARTIFICIAL INTELLIGENCE OR PARROT INTELLIGENCE?. 6(1). 1–1.

Minutolo, Aniello, et al.. (2024). Designing and Evaluating a Dual-Stream Transformer-Based Architecture for Visual Question Answering. IEEE Access. 12. 195561–195574.

Ciani, Daniele, et al.. (2024). Exploring research trends in modern machine learning through a statistical mechanics lens: An Ising-inspired modeling perspective. Reviews in Mathematical Physics. 37(6).

Minutolo, Aniello, et al.. (2023). I am Robot, Your Health Adviser for Older Adults: Do You Trust My Advice?. International Journal of Social Robotics. 17(5). 883–902. 16 indexed citations

Catelli, Rosario, et al.. (2023). A new Italian Cultural Heritage data set: detecting fake reviews with BERT and ELECTRA leveraging the sentiment. IEEE Access. 1–1. 10 indexed citations

Catelli, Rosario, Hamido Fujita, Giuseppe De Pietro, & Massimo Esposito. (2022). Deceptive reviews and sentiment polarity: Effective link by exploiting BERT. Expert Systems with Applications. 209. 118290–118290. 24 indexed citations

Catelli, Rosario, et al.. (2022). Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews. Expert Systems with Applications. 209. 118246–118246. 14 indexed citations

Silvestri, Stefano, et al.. (2021). BERT syntactic transfer: A computational experiment on Italian, French and English languages. Computer Speech & Language. 71. 101261–101261. 38 indexed citations

10.

Catelli, Rosario, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, & Massimo Esposito. (2020). Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification. Knowledge-Based Systems. 213. 106649–106649. 40 indexed citations

11.

Pota, Marco, Massimo Esposito, Giuseppe De Pietro, & Hamido Fujita. (2020). Best Practices of Convolutional Neural Networks for Question Classification. Applied Sciences. 10(14). 4710–4710. 24 indexed citations

12.

Caggianese, Giuseppe, et al.. (2020). Discovering Leonardo with artificial intelligence and holograms: A user study. Pattern Recognition Letters. 131. 361–367. 18 indexed citations

13.

Pota, Marco, Andrea Pota, Maria Luisa Sirico, & Massimo Esposito. (2020). SARS-CoV-2 Infections and COVID-19 Fatality: Estimation of Infection Fatality Ratio and Current Prevalence. International Journal of Environmental Research and Public Health. 17(24). 9290–9290. 2 indexed citations

14.

Catelli, Rosario, Francesco Gargiulo, Valentina Casola, et al.. (2020). Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set. Applied Soft Computing. 97. 106779–106779. 56 indexed citations

15.

Pota, Marco, Massimo Esposito, Rosario Megna, et al.. (2019). Multivariate fuzzy analysis of brain tissue volumes and relaxation rates for supporting the diagnosis of relapsing-remitting multiple sclerosis. Biomedical Signal Processing and Control. 53. 101591–101591. 4 indexed citations

16.

Esposito, Massimo, et al.. (2019). Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering. Information Sciences. 514. 88–105. 95 indexed citations

17.

Caggianese, Giuseppe, Salvatore Cuomo, Massimo Esposito, et al.. (2018). Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments. IEEE Transactions on Industrial Informatics. 15(1). 517–526. 21 indexed citations

18.

Breschi, Marco, et al.. (2014). La graduale e ritardata transizione in Sardegna. Analisi microanalitica della fecondità delle donne di Alghero al censimento del 1961. 15(2). 49–73. 2 indexed citations

19.

Minutolo, Aniello, Massimo Esposito, & Giuseppe De Pietro. (2012). A Mobile Reasoning System for Supporting the Monitoring of Chronic Diseases. 6 indexed citations

20.

Coronato, Antonio, Giuseppe De Pietro, & Massimo Esposito. (2006). A Semantic Context Service for Smart Offices. 2. 391–399. 14 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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