Lorenzo Farina

7.3k citations
104 papers · 5.2k indexed · 2 hit papers · h-index 29
Topics
Bioinformatics and Genomic Networks (26 papers)Stability and Control of Uncertain Systems (17 papers)Gene Regulatory Network Analysis (13 papers)
Partner nations
ItalyUnited StatesRussia

In The Last Decade

Lorenzo Farina

97 papers receiving 4.9k citations

Hit Papers

Positive Linear Systems: Theory and Applications2000202620082017200020002505007501000

Peers

Lorenzo Farina
Comparison fields: 5 of 153
  • Control and Systems Engineering 2.6k
  • Molecular Biology 1.6k
  • Computational Theory and Mathematics 919
  • Computer Networks and Communications 815
  • Plant Science 544
Replace Michael A. Demetriou with:
Michael A. Demetriou United States
Bor‐Sen Chen Taiwan
Julio R. Banga Spain
Aniruddha Datta United States
Yun Zou China
Antonis Papachristodoulou United Kingdom
Kil To Chong South Korea
Guo‐Ping Jiang China
Clyde F. Martin United States
Eva Balsa‐Canto Spain
Lorenzo Farina relative to Michael A. Demetriou United States Michael A. Demetriou's profile →
Citations per field
00.5×10×14.3×
Michael A. Demetriou · 1×
Citations per year

Countries citing papers authored by Lorenzo Farina

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Farina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Farina

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Farina. A scholar is included among the top collaborators of Lorenzo Farina 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 Lorenzo Farina. Lorenzo Farina 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
#WorkIndexed citations
1 1
2 8
3 3
4 6
5 2
6 28
7 4
8 5
9 32
10 7
11 21
12 34
13 10
14 0
15 6
16 209
17 4
18 7
19 5
20
Minimal positive realizations: A survey of recent results and open problems
2

About Lorenzo Farina

Lorenzo Farina is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering, having authored 104 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (26 papers), Stability and Control of Uncertain Systems (17 papers) and Gene Regulatory Network Analysis (13 papers). The work is most often cited by research in Control and Systems Engineering (2.6k citations), Computational Theory and Mathematics (919 citations) and Numerical Analysis (264 citations). Lorenzo Farina has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Sergio Rinaldi, Luca Benvenuti, Paola Paci, Teresa Colombo, Giulia Fiscon, Federica Conte, Mario Pezzotti, Marianna Fasoli, Sara Zenoni and Brian D. O. Anderson. Their work appears in journals such as Bioinformatics, PLoS ONE and The Plant Cell.

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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