Marco Comuzzi

3.1k citations
75 papers · 1.6k indexed · 1 hit paper · h-index 19

Marco Comuzzi

73 papers receiving 1.5k citations

Hit Papers

TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent ...270201920262021202350100150200250

Peers

Marco Comuzzi
Comparison fields: 5 of 97
  • Management Information Systems 513
  • Information Systems 662
  • Computer Networks and Communications 636
  • Artificial Intelligence 644
  • Signal Processing 201
Replace Haoyong Lan with:
Haoyong Lan United States
Gottfried Vossen Germany
Avigdor Gal Israel
Zakaria Maamar United Arab Emirates
Bernhard Mitschang Germany
Qinghua Lu Australia
Maria E. Orłowska Australia
Matthias Weidlich Germany
Alberto Trombetta Italy
Willem‐Jan van den Heuvel Netherlands
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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-authorship network

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
#Work
1 20251
2 202412
3 20242
4 20241
5 20232
6 20238
7 20232
8 202320
9 20235
10 20221
11 201743
12 2016118
13 20149
14
MyPHRMachines : personal health desktops in the cloud
20135
15 20132
16
Clearing the sky : understanding SLA elements in cloud computing
20133
17
Describing and verifying monitoring capabilities for SLA-driven service-based systems
20092
18 200619
19
A Broker for Selecting and Provisioning High Quality Syndicated Data.
20054
20 20054

About Marco Comuzzi

Marco Comuzzi is a scholar working on Management Information Systems, Information Systems, Management Science and Operations Research, Health Information Management and Computer Networks and Communications, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (36 papers), Service-Oriented Architecture and Web Services (30 papers), Data Quality and Management (20 papers), Software System Performance and Reliability (12 papers), Advanced Software Engineering Methodologies (10 papers), Mobile Agent-Based Network Management (7 papers), Blockchain Technology Applications and Security (7 papers) and ERP Systems Implementation and Impact (6 papers). The work is most often cited by research in Management Information Systems (513 citations), Information Systems (662 citations), Computer Networks and Communications (636 citations), Artificial Intelligence (644 citations) and Signal Processing (201 citations). Marco Comuzzi has collaborated with scholars based in South Korea, Italy and Netherlands. Frequent co-authors include Bayu Adhi Tama, Barbara Pernici, Kyung-Hyune Rhee, Youcef Djenouri, Pierluigi Plebani, Cinzia Cappiello, Pieter Van Gorp, George Spanoudakis, Danilo Ardagna and Kyriakos Kritikos. Their work appears in journals such as Information Sciences, IEEE Software, Expert Systems with Applications, Enterprise Information Systems and Industrial Management & Data 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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