Massimo Narizzano

1.1k citations
23 papers · 377 · h-index 11

Impact in

Papers in

Massimo Narizzano

20 papers receiving 355 citations

Peers

Massimo Narizzano
Comparison fields: 5 of 61
  • Software 65
  • Computational Theory and Mathematics 120
  • Cognitive Neuroscience 115
  • Psychiatry and Mental health 81
  • Neurology 50
Replace Thomas Klotz with:
Thomas Klotz Germany
John V. Guttag United States
Narayanan Krishnamurthy United States
Bernhard H. C. Sputh United Kingdom
Ryan Cunningham United Kingdom
Josefa Díaz‐Álvarez Spain
Yannick Moy France
Mitra Mirzarezaee Iran
Serdar Kadıoğlu United States
Yanbo Wang China
Massimo Narizzano relative to Thomas Klotz Germany Thomas Klotz's profile →
Citations per field
00.5×10×16.2×
Thomas Klotz · 1×
Citations per year

Countries citing papers authored by Massimo Narizzano

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Narizzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Massimo Narizzano, 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 Massimo Narizzano Line = papers co-authored together Massimo Narizzano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 201757
3 200644
4 201542
5 200226
6 201719
7 200618
8 200313
9 200913
10 200712
11 201010
12 20197
13 20197
14 20167
15 20067
16 20173
17 20103
18 20092
19 20112
20 20092

About Massimo Narizzano

Massimo Narizzano is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Computer Networks and Communications and Cognitive Neuroscience, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Formal Methods in Verification (16 papers), Software Testing and Debugging Techniques (6 papers), Logic, programming, and type systems (5 papers), Constraint Satisfaction and Optimization (4 papers), Logic, Reasoning, and Knowledge (3 papers), EEG and Brain-Computer Interfaces (3 papers), Software Reliability and Analysis Research (3 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Software (65 citations), Computational Theory and Mathematics (120 citations), Cognitive Neuroscience (115 citations), Psychiatry and Mental health (81 citations) and Neurology (50 citations). Massimo Narizzano has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Armando Tacchella, Enrico Giunchiglia, Francesco Cardinale, Gabriele Arnulfo, Marco Fato, Luca Pulina, Elena De Momi, J. Matias Palva, Serena Ricci and Martin Tisdall. Their work appears in journals such as BMC Bioinformatics, Robotics and Autonomous Systems, Artificial Intelligence, Neurosurgical FOCUS and Journal of Automated Reasoning.

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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