Paolo Merialdo

3.6k total citations · 2 hit papers
74 papers, 1.7k citations indexed

About

Paolo Merialdo is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Paolo Merialdo has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Information Systems, 39 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. Recurrent topics in Paolo Merialdo's work include Web Data Mining and Analysis (34 papers), Semantic Web and Ontologies (22 papers) and Advanced Database Systems and Queries (16 papers). Paolo Merialdo is often cited by papers focused on Web Data Mining and Analysis (34 papers), Semantic Web and Ontologies (22 papers) and Advanced Database Systems and Queries (16 papers). Paolo Merialdo collaborates with scholars based in Italy, Canada and United States. Paolo Merialdo's co-authors include Giansalvatore Mecca, Valter Crescenzi, Paolo Atzeni, Donatella Firmani, Denilson Barbosa, Andrea Rossi, Paolo Missier, Paolo Papotti, Mirko Bronzi and Lorenzo Blanco and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of the American Society of Echocardiography and Proceedings of the VLDB Endowment.

In The Last Decade

Paolo Merialdo

72 papers receiving 1.6k citations

Hit Papers

RoadRunner: Towards Automatic Data Extraction from Large ... 2001 2026 2009 2017 2001 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Merialdo Italy 18 1.2k 950 661 254 246 74 1.7k
Stefan Büttcher Canada 13 855 0.7× 742 0.8× 270 0.4× 128 0.5× 293 1.2× 17 1.3k
Klaus Berberich Germany 17 617 0.5× 1.4k 1.5× 271 0.4× 255 1.0× 303 1.2× 72 1.7k
Roi Blanco Spain 20 640 0.5× 805 0.8× 226 0.3× 162 0.6× 167 0.7× 74 1.2k
Altigran S. da Silva Brazil 19 1.1k 0.9× 726 0.8× 507 0.8× 241 0.9× 206 0.8× 55 1.3k
Denilson Barbosa Canada 19 327 0.3× 973 1.0× 375 0.6× 203 0.8× 240 1.0× 77 1.3k
James P. Callan United States 15 1.0k 0.8× 1.4k 1.4× 310 0.5× 99 0.4× 321 1.3× 37 1.9k
Vassilis Christophides Greece 22 758 0.6× 1.4k 1.4× 1.1k 1.7× 275 1.1× 486 2.0× 67 1.8k
Sergey Melnik United States 16 699 0.6× 897 0.9× 664 1.0× 183 0.7× 175 0.7× 25 1.2k
Ralf Schenkel Germany 19 559 0.5× 753 0.8× 520 0.8× 165 0.6× 404 1.6× 102 1.2k
Martin Theobald Germany 20 516 0.4× 1.1k 1.1× 579 0.9× 435 1.7× 469 1.9× 75 1.6k

Countries citing papers authored by Paolo Merialdo

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Merialdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Merialdo

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Merialdo. A scholar is included among the top collaborators of Paolo Merialdo 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 Merialdo. Paolo Merialdo 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.
Firmani, Donatella, et al.. (2021). In Codice Ratio: A crowd-enabled solution for low resource machine transcription of the Vatican Registers. Information Processing & Management. 58(5). 102606–102606. 8 indexed citations
2.
Crescenzi, Valter, et al.. (2019). Hybrid Crowd-Machine Wrapper Inference. ACM Transactions on Knowledge Discovery from Data. 13(5). 1–43. 1 indexed citations
3.
Barbosa, Luciano, Valter Crescenzi, Xin Dong, et al.. (2018). Big Data Integration for Product Specifications.. Iris (Roma Tre University). 41(2). 71–81. 1 indexed citations
4.
Sekhavat, Yoones A., et al.. (2014). Knowledge Base Augmentation using Tabular Data. Iris (Roma Tre University). 1184. 23 indexed citations
5.
Bronzi, Mirko, et al.. (2012). Automatic Evaluation of Relation Extraction Systems on Large-scale. North American Chapter of the Association for Computational Linguistics. 19–24. 3 indexed citations
6.
Crescenzi, Valter, et al.. (2012). Minimizing the Costs of the Training Data for Learning Web Wrappers. Iris (Roma Tre University). 884. 35–40. 1 indexed citations
7.
Crescenzi, Valter & Paolo Merialdo. (2006). Efficient Techniques for Effective Wrapper Induction. Iris (Roma Tre University). 17. 47–47.
8.
Crescenzi, Valter, Giansalvatore Mecca, & Paolo Merialdo. (2004). Improving the expressiveness of ROADRUNNER.. Iris (Roma Tre University). 62–69. 2 indexed citations
9.
Crescenzi, Valter, Giansalvatore Mecca, & Paolo Merialdo. (2004). Handling irregularities in ROADRUNNER. CINECA IRIS Institutional Research Information System (University of Basilicata). 39–44. 3 indexed citations
10.
Crescenzi, Valter, et al.. (2003). Automatic annotation of data extracted from large Web sites.. Iris (Roma Tre University). 359–12. 16 indexed citations
11.
Merialdo, Paolo, Paolo Atzeni, & Giansalvatore Mecca. (2003). Design and development of data-intensive web sites. ACM Transactions on Internet Technology. 3(1). 49–92. 38 indexed citations
12.
Grifoni, Patrizia, et al.. (2002). ATREUS: a model for the conceptual representation of a workflow. 400–405. 1 indexed citations
13.
Crescenzi, Valter, Giansalvatore Mecca, & Paolo Merialdo. (2001). RoadRunner: Towards Automatic Data Extraction from Large Web Sites. Iris (Roma Tre University). 109–118. 547 indexed citations breakdown →
14.
Mecca, Giansalvatore, Paolo Merialdo, & Paolo Atzeni. (1999). Araneus in the Era of XML. CINECA IRIS Institutional Research Information System (University of Basilicata). 22(3). 19–26. 28 indexed citations
15.
Mecca, Giansalvatore, Paolo Merialdo, Paolo Atzeni, & Valter Crescenzi. (1999). The ARANEUS Guide to Web-Site Development. CINECA IRIS Institutional Research Information System (University of Basilicata). 19(44). 167–177. 17 indexed citations
16.
Mecca, Giansalvatore, Paolo Merialdo, Paolo Atzeni, & Valter Crescenzi. (1999). The (Short) Araneus Guide to Web-Site Development. CINECA IRIS Institutional Research Information System (University of Basilicata). 13–18. 17 indexed citations
17.
Mecca, Giansalvatore, et al.. (1998). From Databases to Web-Bases: The ARANEUS Experience. 8 indexed citations
18.
Atzeni, Paolo, et al.. (1997). Structures in the Web.. SEBD. 229–248. 5 indexed citations
19.
Atzeni, Paolo, Giansalvatore Mecca, & Paolo Merialdo. (1997). To Weave the Web. Very Large Data Bases. 206–215. 110 indexed citations
20.
Merialdo, Paolo, et al.. (1989). Integration of Territorial Maps in the Vision System of an Autonomous Land Vehicle. 694–704. 5 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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