Giancarlo Mauri

9.6k total citations
287 papers, 4.7k citations indexed

About

Giancarlo Mauri is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Giancarlo Mauri has authored 287 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Molecular Biology, 84 papers in Computational Theory and Mathematics and 72 papers in Artificial Intelligence. Recurrent topics in Giancarlo Mauri's work include DNA and Biological Computing (86 papers), Advanced biosensing and bioanalysis techniques (51 papers) and Gene Regulatory Network Analysis (40 papers). Giancarlo Mauri is often cited by papers focused on DNA and Biological Computing (86 papers), Advanced biosensing and bioanalysis techniques (51 papers) and Gene Regulatory Network Analysis (40 papers). Giancarlo Mauri collaborates with scholars based in Italy, United States and United Kingdom. Giancarlo Mauri's co-authors include Giulio Pavesi, Graziano Pesole, Daniela Besozzi, Paolo Cazzaniga, Marco S. Nobile, Claudio Zandron, Leonardo Rundo, Paolo Mereghetti, Alberto Leporati and Dario Pescini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Giancarlo Mauri

270 papers receiving 4.5k citations

Peers

Giancarlo Mauri
Comparison fields: 5 of 197
  • Molecular Biology 2.5k
  • Artificial Intelligence 1.0k
  • Computational Theory and Mathematics 810
  • Computer Vision and Pattern Recognition 495
  • Cancer Research 382
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Citations per field, relative to Giancarlo Mauri
Giancarlo Mauri · 1×
Citations per year, relative to Giancarlo Mauri
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Countries citing papers authored by Giancarlo Mauri

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Mauri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Mauri

This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Mauri. A scholar is included among the top collaborators of Giancarlo Mauri 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 Giancarlo Mauri. Giancarlo Mauri 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
# Work Indexed citations
1 3
2 1
3 15
4 2
5 74
6 16
7 5
8 6
9 48
10 21
11 57
12
Inferring causal models of cancer progression with a shrinkage estimator and probability raising
1
13 2
14
Frequency Membrane Systems
2
15 2
16
Using membrane features in P-systems
7
17
Methods for pattern discovery in unaligned biological sequences
5
18
Grammars working on layered strings
2
19
Unambiguous regular trace languages
8
20
A formal basis for performance evaluation of natural language understanding systems
5

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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