Giuseppe Lancia
- Molecular Biology
- Genetics top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Sorin IstrailRobert D. CarrRoméo RizziAlberto CapraraVineet BafnaBrian P. WalenzPaolo SerafiniMark W. Perlin
- Topics
- Gene expression and cancer classification (9 papers)Complexity and Algorithms in Graphs (7 papers)Genetic Associations and Epidemiology (7 papers)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Giuseppe Lancia
45 papers receiving 872 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 543
- Genetics 317
- Artificial Intelligence 190
- Computational Theory and Mathematics 156
- Industrial and Manufacturing Engineering 140
Countries citing papers authored by Giuseppe Lancia
This map shows the geographic impact of Giuseppe Lancia'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 Giuseppe Lancia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Lancia more than expected).
Fields of papers citing papers by Giuseppe Lancia
This network shows the impact of papers produced by Giuseppe Lancia. 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 Giuseppe Lancia. The network helps show where Giuseppe Lancia may publish in the future.
Co-authorship network of co-authors of Giuseppe Lancia
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Lancia. A scholar is included among the top collaborators of Giuseppe Lancia 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 Giuseppe Lancia. Giuseppe Lancia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 36 | |
| 12 | 88 | |
| 13 | 9 | |
| 14 | 71 | |
| 15 | Algorithmic Strategies for the SNP Haplotype Assembly Problem | 14 |
| 16 | SNPs Problems, Algorithms and Complexity | 1 |
| 17 | 15 | |
| 18 | 17 | |
| 19 | 5 | |
| 20 | Toward fully automated genotyping: genotyping microsatellite markers by deconvolution. | 92 |
About Giuseppe Lancia
Giuseppe Lancia is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 49 papers that have together received 942 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Complexity and Algorithms in Graphs (7 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (140 citations), Genetics (317 citations) and Computational Theory and Mathematics (156 citations). Giuseppe Lancia has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Sorin Istrail, Robert D. Carr, Roméo Rizzi, Alberto Caprara, Vineet Bafna, Brian P. Walenz, Paolo Serafini, Mark W. Perlin, Siu Kin Ng and Harvey J. Greenberg. Their work appears in journals such as European Journal of Operational Research, BMC Bioinformatics and SIAM Journal on Computing.
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.