Clara Pizzuti

5.9k total citations
99 papers, 2.6k citations indexed

About

Clara Pizzuti is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Clara Pizzuti has authored 99 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 43 papers in Statistical and Nonlinear Physics and 18 papers in Molecular Biology. Recurrent topics in Clara Pizzuti's work include Complex Network Analysis Techniques (43 papers), Opinion Dynamics and Social Influence (24 papers) and Bioinformatics and Genomic Networks (16 papers). Clara Pizzuti is often cited by papers focused on Complex Network Analysis Techniques (43 papers), Opinion Dynamics and Social Influence (24 papers) and Bioinformatics and Genomic Networks (16 papers). Clara Pizzuti collaborates with scholars based in Italy, India and United States. Clara Pizzuti's co-authors include Fabrizio Angiulli, Francesco Folino, Alessia Amelio, Giandomenico Spezzano, Carmela Comito, Gianluigi Folino, Simona E. Rombo, Stefano Basta, Agostino Forestiero and Annalisa Socievole and has published in prestigious journals such as Bioinformatics, Information Sciences and Artificial Intelligence.

In The Last Decade

Clara Pizzuti

93 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara Pizzuti Italy 27 1.3k 1.1k 488 395 271 99 2.6k
Kamal Berahmand Australia 33 1.2k 1.0× 927 0.9× 340 0.7× 419 1.1× 447 1.6× 54 2.5k
Mohammad Al Hasan United States 21 993 0.8× 710 0.7× 247 0.5× 387 1.0× 292 1.1× 104 2.0k
Usha Nandini Raghavan United States 9 778 0.6× 1.7k 1.6× 598 1.2× 295 0.7× 228 0.8× 11 2.8k
Danai Koutra United States 22 2.0k 1.5× 1.2k 1.1× 793 1.6× 291 0.7× 592 2.2× 93 3.0k
Lijia Ma China 25 815 0.6× 1.2k 1.1× 336 0.7× 511 1.3× 178 0.7× 81 2.5k
Jilles Vreeken Germany 24 1.1k 0.8× 386 0.4× 297 0.6× 185 0.5× 287 1.1× 107 2.2k
Chuxu Zhang United States 21 2.1k 1.6× 715 0.7× 498 1.0× 187 0.5× 421 1.6× 79 3.2k
Xiaofeng He China 22 1.4k 1.1× 447 0.4× 223 0.5× 324 0.8× 847 3.1× 92 2.6k
Parham Moradi Iran 28 1.9k 1.5× 423 0.4× 389 0.8× 397 1.0× 941 3.5× 108 3.2k
Jie Yin Australia 28 1.7k 1.3× 639 0.6× 788 1.6× 165 0.4× 603 2.2× 98 3.6k

Countries citing papers authored by Clara Pizzuti

Since Specialization
Citations

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

Fields of papers citing papers by Clara Pizzuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Pizzuti

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Pizzuti. A scholar is included among the top collaborators of Clara Pizzuti 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 Clara Pizzuti. Clara Pizzuti 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.
2.
Catelli, Rosario, et al.. (2023). Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy. Computers in Biology and Medicine. 158. 106876–106876. 27 indexed citations
3.
Socievole, Annalisa & Clara Pizzuti. (2023). Comparative evaluation of strategies for improving the robustness of complex networks. Applied Network Science. 8(1).
4.
Comito, Carmela & Clara Pizzuti. (2022). Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review. Artificial Intelligence in Medicine. 128. 102286–102286. 90 indexed citations
5.
Pizzuti, Clara & Annalisa Socievole. (2018). A Genetic Algorithm for Improving Robustness of Complex Networks. 514–521. 4 indexed citations
6.
7.
Pizzuti, Clara & Simona E. Rombo. (2011). A Coclustering Approach for Mining Large Protein-Protein Interaction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(3). 717–730. 24 indexed citations
8.
Pizzuti, Clara & Simona E. Rombo. (2008). Discovering meaningful protein-protein interaction modules by a co-clustering based approach.. Nova Science Publishers (Nova Science Publishers, Inc.). 294–301. 1 indexed citations
9.
Angiulli, Fabrizio, Eugenio Cesario, & Clara Pizzuti. (2007). Random walk biclustering for microarray data. Information Sciences. 178(6). 1479–1497. 31 indexed citations
10.
Angiulli, Fabrizio, Eugenio Cesario, & Clara Pizzuti. (2006). A Greedy Search Approach to Co-clustering Sparse Binary Matrices. 363–370. 3 indexed citations
11.
Pizzuti, Clara. (2005). Computing prime implicants by integer programming. 332–336. 12 indexed citations
12.
Angiulli, Fabrizio & Clara Pizzuti. (2004). Top-k closest pairs join query: an approximate algorithm for large high dimensional data. 103–110. 1 indexed citations
13.
Pizzuti, Clara, et al.. (2004). Top-k closest pairs join query: an approximate algorithm for large high dimensional data. 103–110. 1 indexed citations
14.
Folino, Gianluigi, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, & Marco Tomassini. (2003). Diversity analysis in cellular and multipopulation genetic programming. 305–311 Vol.1. 13 indexed citations
15.
Folino, Gianluigi, Clara Pizzuti, & Giandomenico Spezzano. (2002). Combining cellular genetic algorithms and local search for solving satisfiability problems. 192–198. 17 indexed citations
16.
Folino, Gianluigi, Clara Pizzuti, & Giandomenico Spezzano. (1999). A cellular genetic programming approach to classification. Genetic and Evolutionary Computation Conference. 1015–1020. 23 indexed citations
17.
Palopoli, Luigi, Fiora Pirri, & Clara Pizzuti. (1999). Algorithms for selective enumeration of prime implicants. Artificial Intelligence. 111(1-2). 41–72. 22 indexed citations
18.
Pizzuti, Clara, Giandomenico Spezzano, & Domenico Ursino. (1997). A cellular genetic algorithm for satisfiability problems. IOS Press eBooks. 50(4). 408–413. 2 indexed citations
19.
Mayer, Marta Cialdea, Fiora Pirri, & Clara Pizzuti. (1993). Natural properties of abductive hypotheses in three-valued logic. IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations
20.
Saccà, Domenico, et al.. (1987). The Advanced Database Environment of the KIWI System.. IEEE Data(base) Engineering Bulletin. 10(3). 20–27. 4 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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