Giovanni Pighizzini

1.3k citations
60 papers · 466 indexed · h-index 12
Topics
semigroups and automata theory (52 papers)DNA and Biological Computing (27 papers)Machine Learning and Algorithms (15 papers)
Journals
SHILAP Revista de lepidopterologíaSIAM Journal on ComputingTheoretical Computer Science
Partner nations
ItalySlovakiaFrance

In The Last Decade

Giovanni Pighizzini

55 papers receiving 451 citations

Peers

Giovanni Pighizzini
Comparison fields: 5 of 36
  • Computational Theory and Mathematics 429
  • Artificial Intelligence 356
  • Molecular Biology 250
  • Computer Networks and Communications 16
  • Hardware and Architecture 13
Replace Alexander Meduna with:
Alexander Meduna Czechia
Dora Giammarresi Italy
Jean-Marc Champarnaud France
Viliam Geffert Slovakia
Michel Latteux France
F. Blanchet-Sadri United States
Christian Choffrut France
Kosaburo Hashiguchi Japan
Djelloul Ziadi France
Luc Boasson France
Giovanni Pighizzini relative to Alexander Meduna Czechia Alexander Meduna's profile →
Citations per field
00.5×
Alexander Meduna · 1×
Citations per year

Countries citing papers authored by Giovanni Pighizzini

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Pighizzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Pighizzini

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Pighizzini. A scholar is included among the top collaborators of Giovanni Pighizzini 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 Giovanni Pighizzini. Giovanni Pighizzini 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
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Recent Trends in Descriptional Complexity of Formal Languages
5
7 8
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9 2
10 11
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12 1
13 26
14 16
15 31
16 11
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About Giovanni Pighizzini

Giovanni Pighizzini is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology, having authored 60 papers that have together received 466 indexed citations. Recurring topics across this work include semigroups and automata theory (52 papers), DNA and Biological Computing (27 papers) and Machine Learning and Algorithms (15 papers). The work is most often cited by research in Computational Theory and Mathematics (429 citations), Artificial Intelligence (356 citations) and Molecular Biology (250 citations). Giovanni Pighizzini has collaborated with scholars based in Italy, Slovakia and France. Frequent co-authors include Carlo Mereghetti, JEFFREY SHALLIT, Viliam Geffert, Donald Sannella, Giuseppe F. Italiano, Jeffrey Shallit, Beatrice Palano, Ming‐Wei Wang, Christian Choffrut and Danilo Bruschi. Their work appears in journals such as SHILAP Revista de lepidopterología, SIAM Journal on Computing and Theoretical Computer Science.

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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