Luca Pireddu

1.4k citations
28 papers · 387 indexed · h-index 10

Luca Pireddu

25 papers receiving 362 citations

Peers

Luca Pireddu
Comparison fields: 5 of 76
  • Information Systems and Management 106
  • Computer Networks and Communications 86
  • Molecular Biology 250
  • Health Informatics 4
  • Computational Theory and Mathematics 44
Replace Aleksi Kallio with:
Aleksi Kallio Finland
Samuel Lampa Sweden
Rafael C. Jiménez United Kingdom
George Potamias Greece
Steve McKeever United Kingdom
Jerven Bolleman Switzerland
Julianus Pfeuffer Germany
Pietro Pinoli Italy
Łukasz Łaciński United States
Matúš Kalaš Norway
Luca Pireddu relative to Aleksi Kallio Finland Aleksi Kallio's profile →
Citations per field
00.5×
Aleksi Kallio · 1×
Citations per year

Countries citing papers authored by Luca Pireddu

Since Specialization
Citations

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

Fields of papers citing papers by Luca Pireddu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Luca Pireddu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Pireddu Line = papers co-authored together Luca Pireddu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20248
4 202314
5 20231
6 20217
7 20203
8 20172
9 201616
10 201541
11 20149
12 20130
13 20131
14 20123
15 201193
16 201113
17 201010
18 200852
19 200620
20 20057

About Luca Pireddu

Luca Pireddu is a scholar working on Information Systems and Management, Health Informatics, Computer Networks and Communications, Biophysics and Molecular Biology, having authored 28 papers that have together received 387 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (15 papers), Genomics and Phylogenetic Studies (10 papers), Advanced Data Storage Technologies (7 papers), Research Data Management Practices (5 papers), Gene expression and cancer classification (4 papers), Machine Learning in Bioinformatics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Information Systems and Management (106 citations), Computer Networks and Communications (86 citations), Molecular Biology (250 citations), Health Informatics (4 citations) and Computational Theory and Mathematics (44 citations). Luca Pireddu has collaborated with scholars based in Italy, Germany and Finland. Frequent co-authors include Gianluigi Zanetti, Simone Leo, Aleksi Kallio, Eija Korpelainen, Keijo Heljanko, André Schumacher, Matteo Floris, Stefano Moro, Duane Szafron and P. Lu. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Molecular Informatics, Scientific Reports and Nature Communications.

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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