Marco Comuzzi

3.2k citations
115 papers · 2.2k · 2 hit papers · h-index 23

Impact in

Papers in

Marco Comuzzi

106 papers receiving 2.0k citations

Marco Comuzzi's Hit Papers

TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System 2019 · 298 citations
2980+4+8Years since publication50100150200250

Peers

Marco Comuzzi
Comparison fields: 5 of 98
  • Management Information Systems 755
  • Information Systems 1.0k
  • Computer Networks and Communications 841
  • Artificial Intelligence 860
  • Signal Processing 241
Replace Haoyong Lan with:
Haoyong Lan United States
Colin Fidge Australia
Ruth Breu Austria
Chiara Ghidini Italy
Fran Casino Spain
Hye-Young Paik Australia
Zakaria Maamar United Arab Emirates
Faı̈ez Gargouri Tunisia
Qinghua Lu Australia
Aditya Ghose Australia
Marco Comuzzi relative to Haoyong Lan United States Haoyong Lan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marco Comuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Comuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
Hit paper breakdown →
2019298
2
A survey on service quality description
Hit paper breakdown →
2013273
3 2016135
4 2007118
5 2017102
6 200994
7 200991
8 201754
9 201953
10 201951
11 200649
12 201045
13 201941
14 201339
15 202329
16 201729
17 200629
18 201129
19 202126
20 201526

About Marco Comuzzi

Marco Comuzzi is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research, having authored 115 papers that have together received 2.2k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (55 papers), Service-Oriented Architecture and Web Services (43 papers), Data Quality and Management (26 papers), Software System Performance and Reliability (15 papers), Blockchain Technology Applications and Security (12 papers), Advanced Software Engineering Methodologies (11 papers), Big Data and Business Intelligence (9 papers) and Data Stream Mining Techniques (8 papers). The work is most often cited by research in Management Information Systems (755 citations), Information Systems (1.0k citations), Computer Networks and Communications (841 citations), Artificial Intelligence (860 citations) and Signal Processing (241 citations). Marco Comuzzi has collaborated with scholars based in South Korea, Italy and Netherlands. Frequent co-authors include Barbara Pernici, Bayu Adhi Tama, Kyung-Hyune Rhee, Youcef Djenouri, Pierluigi Plebani, Cinzia Cappiello, George Spanoudakis, Pieter Van Gorp, Kyriakos Kritikos and Danilo Ardagna. Their work appears in journals such as Information Sciences, IEEE Software, Enterprise Information Systems, Expert Systems with Applications and Information Systems.

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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