Marco Comerio

536 citations
37 papers · 222 · h-index 8

Impact in

Papers in

Marco Comerio

34 papers receiving 204 citations

Peers

Marco Comerio
Comparison fields: 5 of 29
  • Management Information Systems 71
  • Information Systems 176
  • Artificial Intelligence 106
  • Computer Networks and Communications 69
  • Management Science and Operations Research 33
Replace Orlando Belo with:
Orlando Belo Portugal
Christian Zirpins Germany
Nacer Boudjlida France
Ajantha Dahanayake Netherlands
Thomi Pilioura Greece
Amjad Umar United States
Frederik Gailly Belgium
Emanuele Storti Italy
Michael Spahn Germany
Scott A. Moore United States
Marco Comerio relative to Orlando Belo Portugal Orlando Belo's profile →
Citations per field
00.5×1.7×
Orlando Belo · 1×
Citations per year

Countries citing papers authored by Marco Comerio

Since Specialization
Citations

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

Fields of papers citing papers by Marco Comerio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200826
2 200821
3
NON-FUNCTIONAL PROPERTIES IN WEB SERVICES
200620
4 201218
5 201216
6 200711
7 201111
8 20079
9 20117
10 20097
11 20096
12 20136
13
Semantic Web Service Discovery and Selection: a Test Bed Scenario
20086
14 20106
15 20225
16 20154
17 20234
18 20044
19 20154
20 20134

About Marco Comerio

Marco Comerio is a scholar working on Information Systems, Artificial Intelligence, Management Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 37 papers that have together received 222 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (24 papers), Semantic Web and Ontologies (14 papers), Business Process Modeling and Analysis (9 papers), Web Data Mining and Analysis (6 papers), Advanced Database Systems and Queries (5 papers), Data Quality and Management (5 papers), Mobile Agent-Based Network Management (3 papers) and Cloud Data Security Solutions (3 papers). The work is most often cited by research in Management Information Systems (71 citations), Information Systems (176 citations), Artificial Intelligence (106 citations), Computer Networks and Communications (69 citations) and Management Science and Operations Research (33 citations). Marco Comerio has collaborated with scholars based in Italy, Switzerland and Austria. Frequent co-authors include Flavio De Paoli, Matteo Palmonari, Andrea Maurino, Carlo Batini, Schahram Dustdar, G. R. Gangadharan, Luca Panziera, Hong‐Linh Truong, Emanuele Della Valle and Dario Cerizza. Their work appears in journals such as Semantic Web, PLoS ONE, Data & Knowledge Engineering, Journal of Visual Languages & Computing and Journal of Systems and Software.

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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