Paolo Garza

1.8k total citations
111 papers, 1.2k citations indexed

About

Paolo Garza is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Paolo Garza has authored 111 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 44 papers in Information Systems and 29 papers in Signal Processing. Recurrent topics in Paolo Garza's work include Data Mining Algorithms and Applications (38 papers), Data Management and Algorithms (19 papers) and Rough Sets and Fuzzy Logic (15 papers). Paolo Garza is often cited by papers focused on Data Mining Algorithms and Applications (38 papers), Data Management and Algorithms (19 papers) and Rough Sets and Fuzzy Logic (15 papers). Paolo Garza collaborates with scholars based in Italy, France and United States. Paolo Garza's co-authors include Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Alessandro Farasin, Daniele Apiletti, Elisa Quintarelli, Alessandro Fiori, Giulia Bruno and Xin Xiao and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Paolo Garza

104 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paolo Garza Italy	19	492	477	237	176	160	111	1.2k
Sadok Ben Yahia Tunisia	19	612 1.2×	618 1.3×	326 1.4×	238 1.4×	336 2.1×	188	1.6k
Floriana Esposito Italy	20	1.0k 2.0×	455 1.0×	246 1.0×	219 1.2×	163 1.0×	176	1.7k
Vipin Kumar United States	8	527 1.1×	393 0.8×	100 0.4×	200 1.1×	201 1.3×	25	1.2k
Byung-Ro Moon South Korea	17	869 1.8×	163 0.3×	349 1.5×	141 0.8×	190 1.2×	75	1.6k
Yangming Zhou China	20	631 1.3×	116 0.2×	115 0.5×	87 0.5×	115 0.7×	75	1.4k
Marı́a J. Martı́n-Bautista Spain	18	519 1.1×	396 0.8×	181 0.8×	156 0.9×	73 0.5×	84	1.2k
Md. Nasir Sulaiman Malaysia	19	513 1.0×	341 0.7×	69 0.3×	167 0.9×	382 2.4×	138	1.5k
Zijian Zheng United States	18	649 1.3×	729 1.5×	268 1.1×	213 1.2×	148 0.9×	34	1.6k
Mustafa Mat Deris Malaysia	19	434 0.9×	451 0.9×	368 1.6×	146 0.8×	291 1.8×	136	1.4k
Juan Gómez‐Romero Spain	20	504 1.0×	184 0.4×	153 0.6×	131 0.7×	82 0.5×	62	1.1k

Countries citing papers authored by Paolo Garza

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Garza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Garza

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Han, Soyeon Caren, et al.. (2024). 3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. UWA Profiles and Research Repository (University of Western Australia). 15233–15244. 2 indexed citations

Garza, Paolo, et al.. (2024). QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1. 3 indexed citations

Garza, Paolo, et al.. (2024). Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. 63–70.

Cagliero, Luca, et al.. (2023). Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. Expert Systems with Applications. 216. 119493–119493. 18 indexed citations

Cagliero, Luca, et al.. (2022). Transformer-based Non-Verbal Emotion Recognition. 89–94. 1 indexed citations

Cagliero, Luca, et al.. (2022). Leveraging Explainable AI to Support Cryptocurrency Investors. Future Internet. 14(9). 251–251. 11 indexed citations

Apiletti, Daniele, et al.. (2021). Double-Step deep learning framework to improve wildfire severity classification.. 3 indexed citations

Farasin, Alessandro, et al.. (2021). Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction. Applied Sciences. 11(22). 11060–11060. 21 indexed citations

Cagliero, Luca, et al.. (2021). Additional Reviewer Assignment by Means of Weighted Association Rules. IEEE Transactions on Emerging Topics in Computing. 9(1). 329–341. 7 indexed citations

10.

Trevisan, Martino, et al.. (2021). What's my App?. ACM SIGMETRICS Performance Evaluation Review. 48(4). 41–44. 6 indexed citations

11.

Apiletti, Daniele, et al.. (2020). Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. 5786–5788. 9 indexed citations

12.

Cagliero, Luca, et al.. (2020). Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts. Electronics. 9(8). 1322–1322. 8 indexed citations

13.

Farasin, Alessandro, et al.. (2019). Unsupervised Burned Area Estimation through Satellite Tiles: A multimodal approach by means of image segmentation over remote sensing imagery. 2466. 1–10. 3 indexed citations

14.

Baralis, Elena, et al.. (2019). Adaptive Hierarchical Clustering for Petrographic Image Analysis.. EDBT/ICDT Workshops. 2322. 1 indexed citations

15.

Cagliero, Luca, et al.. (2017). Identifying collaborations among researchers: a pattern-based approach. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1888. 56–68. 3 indexed citations

16.

Bianchini, Devis, Paolo Garza, & Elisa Quintarelli. (2015). Characterization and search of web services through intensional knowledge. Journal of Intelligent Information Systems. 47(3). 375–401. 3 indexed citations

17.

Cagliero, Luca & Paolo Garza. (2013). Infrequent Weighted Itemset Mining Using Frequent Pattern Growth. IEEE Transactions on Knowledge and Data Engineering. 26(4). 903–915. 56 indexed citations

18.

Cremonesi, Paolo, Paolo Garza, Elisa Quintarelli, & Roberto Turrin. (2011). Top-N recommendations on Unpopular Items with Contextual Knowledge. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 10 indexed citations

19.

Bruno, Giulia, et al.. (2007). Anomaly Detection in XML databases by means of Association Rules. 3. 387–391. 4 indexed citations

20.

Garza, Paolo, et al.. (2004). DALLAS HIGH FIVE : A VITAL ECONOMIC LINK FOR NORTH TEXAS. 40(2). 1 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.

Explore authors with similar magnitude of impact