Riccardo Dondi

723 total citations
27 papers, 267 citations indexed

About

Riccardo Dondi is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Riccardo Dondi has authored 27 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 12 papers in Artificial Intelligence. Recurrent topics in Riccardo Dondi's work include Genomics and Phylogenetic Studies (9 papers), Genome Rearrangement Algorithms (9 papers) and Algorithms and Data Compression (6 papers). Riccardo Dondi is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genome Rearrangement Algorithms (9 papers) and Algorithms and Data Compression (6 papers). Riccardo Dondi collaborates with scholars based in Italy, France and Canada. Riccardo Dondi's co-authors include Paola Bonizzoni, Gianluca Della Vedova, Yuri Pirola, Nadia El-Mabrouk, Manuel Lafond, Gunnar W. Klau, Stéphane Vialette, Nadia Pisanti, Guillaume Fertin and Simone Zaccaria and has published in prestigious journals such as Bioinformatics, Theoretical Computer Science and Journal of Computer and System Sciences.

In The Last Decade

Riccardo Dondi

26 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riccardo Dondi Italy 11 178 111 97 44 38 27 267
Lee A. Newberg United States 10 225 1.3× 66 0.6× 69 0.7× 39 0.9× 24 0.6× 23 325
Felipe Llinares-López Switzerland 11 174 1.0× 68 0.6× 102 1.1× 28 0.6× 36 0.9× 14 352
Janne H. Korhonen Finland 8 138 0.8× 38 0.3× 64 0.7× 77 1.8× 25 0.7× 20 325
Tzvika Hartman Israel 10 177 1.0× 192 1.7× 174 1.8× 26 0.6× 112 2.9× 16 324
Alexandru I. Tomescu Finland 11 236 1.3× 44 0.4× 147 1.5× 121 2.8× 33 0.9× 68 437
Nicolas Wicker France 9 156 0.9× 43 0.4× 76 0.8× 16 0.4× 16 0.4× 24 295
Marta Kasprzak Poland 14 386 2.2× 63 0.6× 190 2.0× 68 1.5× 30 0.8× 50 469
Christine Sinoquet France 7 119 0.7× 99 0.9× 57 0.6× 12 0.3× 18 0.5× 18 245
H. K. Dai United States 6 251 1.4× 35 0.3× 81 0.8× 11 0.3× 31 0.8× 18 347
Laurent Bulteau France 8 95 0.5× 111 1.0× 76 0.8× 39 0.9× 71 1.9× 30 221

Countries citing papers authored by Riccardo Dondi

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Dondi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Dondi

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Dondi. A scholar is included among the top collaborators of Riccardo Dondi 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 Riccardo Dondi. Riccardo Dondi 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.
Bureš, Tomáš, Riccardo Dondi, Johann Gamper, et al.. (2021). SOFSEM 2021: Theory and Practice of Computer Science. Lecture notes in computer science. 4 indexed citations
2.
Dondi, Riccardo, Manuel Lafond, & Céline Scornavacca. (2019). Reconciling multiple genes trees via segmental duplications and losses. Algorithms for Molecular Biology. 14(1). 7–7. 10 indexed citations
3.
Lafond, Manuel, Riccardo Dondi, & Nadia El-Mabrouk. (2016). The link between orthology relations and gene trees: a correction perspective. Algorithms for Molecular Biology. 11(1). 4–4. 17 indexed citations
4.
Bonizzoni, Paola, Riccardo Dondi, Gunnar W. Klau, et al.. (2016). On the Minimum Error Correction Problem for Haplotype Assembly in Diploid and Polyploid Genomes. Journal of Computational Biology. 23(9). 718–736. 20 indexed citations
5.
Beretta, Stefano, Mauro Castelli, & Riccardo Dondi. (2015). Correcting gene tree by removal and modification: Tractability and approximability. Journal of Discrete Algorithms. 33. 115–129.
6.
Batini, Carlo, et al.. (2015). A Clustering Algorithm for Planning the Integration Process of a Large Number of Conceptual Schemas. Journal of Computer Science and Technology. 30(1). 214–224. 4 indexed citations
7.
Pirola, Yuri, Simone Zaccaria, Riccardo Dondi, et al.. (2015). HapCol: accurate and memory-efficient haplotype assembly from long reads. Bioinformatics. 32(11). 1610–1617. 26 indexed citations
8.
Blin, Guillaume, Paola Bonizzoni, Riccardo Dondi, Roméo Rizzi, & Florian Sikora. (2014). Complexity insights of the Minimum Duplication problem. Theoretical Computer Science. 530. 66–79. 3 indexed citations
9.
Beerenwinkel, Niko, Stefano Beretta, Paola Bonizzoni, Riccardo Dondi, & Yuri Pirola. (2014). Covering Pairs in Directed Acyclic Graphs. The Computer Journal. 58(7). 1673–1686. 3 indexed citations
10.
Dondi, Riccardo, Nadia El-Mabrouk, & Krister M. Swenson. (2013). Gene tree correction for reconciliation and species tree inference: Complexity and algorithms. Journal of Discrete Algorithms. 25. 51–65. 13 indexed citations
11.
Dondi, Riccardo, Guillaume Fertin, & Stéphane Vialette. (2012). Finding approximate and constrained motifs in graphs. Theoretical Computer Science. 483. 10–21. 5 indexed citations
12.
Bonizzoni, Paola, Chiara Braghin, Riccardo Dondi, & Gabriella Trucco. (2012). The binary perfect phylogeny with persistent characters. Theoretical Computer Science. 454. 51–63. 15 indexed citations
13.
Bonizzoni, Paola, Gianluca Della Vedova, & Riccardo Dondi. (2011). A randomized PTAS for the minimum Consensus Clustering with a fixed number of clusters. Theoretical Computer Science. 429. 36–45. 1 indexed citations
14.
Dondi, Riccardo. (2011). New results for the Longest Haplotype Reconstruction problem. Discrete Applied Mathematics. 160(9). 1299–1310. 1 indexed citations
15.
Bonizzoni, Paola, Gianluca Della Vedova, Riccardo Dondi, Yuri Pirola, & Roméo Rizzi. (2010). Pure Parsimony Xor Haplotyping. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(4). 598–610. 2 indexed citations
16.
Bonizzoni, Paola, Gianluca Della Vedova, Riccardo Dondi, et al.. (2007). Exemplar Longest Common Subsequence. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(4). 535–543. 18 indexed citations
17.
Bonizzoni, Paola, Gianluca Della Vedova, Riccardo Dondi, & Tao Jiang. (2007). On the Approximation of Correlation Clustering and Consensus Clustering. Journal of Computer and System Sciences. 74(5). 671–696. 14 indexed citations
18.
Bonizzoni, Paola, Gianluca Della Vedova, & Riccardo Dondi. (2007). Anonymizing Binary Tables is APX-hard. 1 indexed citations
19.
Bonizzoni, Paola, Gianluca Della Vedova, & Riccardo Dondi. (2005). Reconciling a gene tree to a species tree under the duplication cost model. Theoretical Computer Science. 347(1-2). 36–53. 45 indexed citations
20.
Boselli, Roberto, Flavio De Paoli, & Riccardo Dondi. (2003). Knowledge Organization and Retrieval in the MILK System. BOA (University of Milano-Bicocca). 372–376. 7 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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