Luca Cernuzzi

965 citations
77 papers · 620 · h-index 14

Impact in

Papers in

    • Service-Oriented Architecture and Web Services 16
    • Web Applications and Data Management 12
    • Mobile and Web Applications 7
    • Multi-Agent Systems and Negotiation 10
    • Advanced Software Engineering Methodologies 7

Luca Cernuzzi

68 papers receiving 594 citations

Peers

Luca Cernuzzi
Comparison fields: 5 of 100
  • Neuropsychology and Physiological Psychology 21
  • Management Information Systems 105
  • Software 46
  • Human-Computer Interaction 51
  • Information Systems 166
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Citations per field
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Citations per year

Countries citing papers authored by Luca Cernuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Cernuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Cernuzzi, 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 Cernuzzi Line = papers co-authored together Luca Cernuzzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 200566
3 201840
4 202134
5
The Gaia methodology: basic concepts and extensions
200433
6 200632
7 200122
8 201419
9 202118
10 201917
11 200616
12 200416
13 201115
14 201614
15 202013
16 200911
17 201411
18 20239
19 20118
20 20167

About Luca Cernuzzi

Luca Cernuzzi is a scholar working on Information Systems, Artificial Intelligence, Software, Management Information Systems and Communication, having authored 77 papers that have together received 620 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (16 papers), Web Applications and Data Management (12 papers), Multi-Agent Systems and Negotiation (10 papers), Business Process Modeling and Analysis (9 papers), Advanced Software Engineering Methodologies (7 papers), Mobile and Web Applications (7 papers), Model-Driven Software Engineering Techniques (7 papers) and Open Source Software Innovations (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (21 citations), Management Information Systems (105 citations), Software (46 citations), Human-Computer Interaction (51 citations) and Information Systems (166 citations). Luca Cernuzzi has collaborated with scholars based in Paraguay, Italy and Spain. Frequent co-authors include Franco Zambonelli, Fabio Casati, Marcos Báez, Francisco Ibarra, Massimo Cossentino, Thomas Juan, Leon Sterling, Jorge Saldivar, Óscar Pastor and Jaime Sánchez. Their work appears in journals such as IEEE Internet Computing, Journal of Systems and Software, Engineering Applications of Artificial Intelligence, Big Data & Society and American Behavioral Scientist.

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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