Raffaele Giancarlo

3.3k total citations
89 papers, 1.7k citations indexed

About

Raffaele Giancarlo is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Raffaele Giancarlo has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 50 papers in Molecular Biology and 19 papers in Computational Theory and Mathematics. Recurrent topics in Raffaele Giancarlo's work include Algorithms and Data Compression (51 papers), semigroups and automata theory (16 papers) and Genomics and Phylogenetic Studies (16 papers). Raffaele Giancarlo is often cited by papers focused on Algorithms and Data Compression (51 papers), semigroups and automata theory (16 papers) and Genomics and Phylogenetic Studies (16 papers). Raffaele Giancarlo collaborates with scholars based in Italy, United States and Israel. Raffaele Giancarlo's co-authors include Zvi Galil, Filippo Utro, Alberto Apostolico, Giovanni Manzini, David Eppstein, Paolo Ferragina, Renato M. Capocelli, Giuseppe F. Italiano, Adam L. Buchsbaum and Simona E. Rombo and has published in prestigious journals such as The EMBO Journal, Bioinformatics and IEEE Transactions on Information Theory.

In The Last Decade

Raffaele Giancarlo

85 papers receiving 1.6k citations

Peers

Raffaele Giancarlo

CTM

CNC

Gad M. Landau Israel

Thierry Lecroq France

Alberto Apostolico United States

Amihood Amir United States

Roberto Grossi Italy

Simon J. Puglisi Finland

D. S. Hirschberg United States

Giovanni Manzini Italy

Thomas G. Szymanski United States

Kunsoo Park South Korea

Gad M. Landau Israel

Raffaele Giancarlo

1.5k ×1.3

949 ×1.0

559 ×1.5

CTM

489 ×1.6

168 ×0.8

CNC

Citations per year, relative to Raffaele Giancarlo Raffaele Giancarlo (= 1×) peers Gad M. Landau

Countries citing papers authored by Raffaele Giancarlo

Since Specialization

Citations

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

Fields of papers citing papers by Raffaele Giancarlo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Giancarlo

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Giancarlo. A scholar is included among the top collaborators of Raffaele Giancarlo 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 Raffaele Giancarlo. Raffaele Giancarlo 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

Malchiodi, Dario, et al.. (2024). The role of classifiers and data complexity in learned Bloom filters: insights and recommendations. Journal Of Big Data. 11(1).

Giancarlo, Raffaele, et al.. (2023). Learned Sorted Table Search and Static Indexes in Small-Space Data Models. Data. 8(3). 56–56. 4 indexed citations

Giancarlo, Raffaele, Giovanni Manzini, Antonio Restivo, Giovanna Rosone, & Marinella Sciortino. (2020). The Alternating BWT: An algorithmic perspective. CINECA IRIS Institutial research information system (University of Pisa). 3 indexed citations

Giancarlo, Raffaele, Simona E. Rombo, & Filippo Utro. (2018). DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes. Theoretical Computer Science. 792. 117–130. 4 indexed citations

Giancarlo, Raffaele & Filippo Utro. (2012). Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis. Theoretical Computer Science. 428. 58–79. 12 indexed citations

Giancarlo, Raffaele & Giovanni Manzini. (2011). Combinatorial Pattern Matching : 22nd Annual Symposium, CPM 2011, Palermo, Italy, June 27-29, 2011. Proceedings. DIAL (Catholic University of Leuven). 1 indexed citations

Sala, Anna, Luca Pinello, Giosuè Lo Bosco, et al.. (2011). Genome‐wide characterization of chromatin binding and nucleosome spacing activity of the nucleosome remodelling ATPase ISWI. The EMBO Journal. 30(9). 1766–1777. 46 indexed citations

Ferragina, Paolo, Raffaele Giancarlo, & Giovanni Manzini. (2009). The myriad virtues of Wavelet Trees. Information and Computation. 207(8). 849–866. 26 indexed citations

Buchsbaum, Adam L., Raffaele Giancarlo, & Balázs Rácz. (2008). New results for finding common neighborhoods in massive graphs in the data stream model. Theoretical Computer Science. 407(1-3). 302–309. 2 indexed citations

10.

Giancarlo, Raffaele & Sridhar Hannenhalli. (2007). Algorithms in bioinformatics : 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007 : proceedings. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations

11.

Ferragina, Paolo, Raffaele Giancarlo, Valentina Greco, Giovanni Manzini, & Gabriel Valiente. (2007). Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assessment. BMC Bioinformatics. 8(1). 252–252. 76 indexed citations

12.

Giancarlo, Raffaele, et al.. (2007). A basic analysis toolkit for biological sequences. Algorithms for Molecular Biology. 2(1). 10–10. 3 indexed citations

13.

Buchsbaum, Adam L., Glenn S. Fowler, & Raffaele Giancarlo. (2002). Improving table compression with combinatorial optimization. Symposium on Discrete Algorithms. 213–222. 4 indexed citations

14.

Giancarlo, Raffaele, et al.. (1999). On-line Construction of Two-Dimensional Suffix Trees. Journal of Complexity. 15(1). 72–127. 3 indexed citations

15.

Giancarlo, Raffaele & Roberto Grossi. (1996). On the Construction of Classes of Suffix Trees for Square Matrices: Algorithms and Applications. Information and Computation. 130(2). 151–182. 19 indexed citations

16.

Amir, Amihood, Martı́n Farach-Colton, Zvi Galil, Raffaele Giancarlo, & Kunsoo Park. (1994). Dynamic dictionary matching. Journal of Computer and System Sciences. 49(2). 208–222. 45 indexed citations

17.

Galil, Zvi & Raffaele Giancarlo. (1989). Speeding up dynamic programming with applications to molecular biology. Theoretical Computer Science. 64(1). 107–118. 71 indexed citations

18.

Galil, Zvi & Raffaele Giancarlo. (1988). Data structures and algorithms for approximate string matching. Journal of Complexity. 4(1). 33–72. 88 indexed citations

19.

Galil, Zvi & Raffaele Giancarlo. (1987). Parallel string matching with k mismatches. Theoretical Computer Science. 51(3). 341–348. 11 indexed citations

20.

Rytter, Wojciech & Raffaele Giancarlo. (1987). Optimal parallel parsing of bracket languages. Theoretical Computer Science. 53(2-3). 295–306. 6 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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