Massimo Mecella

176 papers receiving 2.0k citations

Peers

Massimo Mecella
Comparison fields: 5 of 122
  • Management Information Systems 739
  • Information Systems 1.1k
  • Computer Networks and Communications 607
  • Artificial Intelligence 768
  • Industrial and Manufacturing Engineering 226
Replace Terry R. Payne with:
Terry R. Payne United Kingdom
Fabio Bellifemine Italy
Alessandro Ricci Italy
Patrick C. K. Hung Canada
Haoyong Lan United States
Agostino Poggi Italy
Andrea Omicini Italy
Alistair Barros Australia
Mark Burstein United States
Mark Klein United States
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Citations per field
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Terry R. Payne · 1×
Citations per year

Countries citing papers authored by Massimo Mecella

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Mecella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic composition of transition-based semantic web services with messaging
2005153
2 2005114
3
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
201183
4 200473
5 201558
6 201954
7 200649
8 200847
9 201546
10 201644
11 201537
12
Automatic Service Composition and Synthesis: the Roman Model.
200836
13 200435
14 201934
15 200533
16 200432
17 200630
18 201329
19 200129
20 200928

About Massimo Mecella

Massimo Mecella is a scholar working on Information Systems, Management Information Systems, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 192 papers that have together received 2.2k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (64 papers), Business Process Modeling and Analysis (55 papers), Context-Aware Activity Recognition Systems (25 papers), Semantic Web and Ontologies (21 papers), Advanced Database Systems and Queries (20 papers), Advanced Software Engineering Methodologies (16 papers), Digital Transformation in Industry (16 papers) and Distributed systems and fault tolerance (12 papers). The work is most often cited by research in Management Information Systems (739 citations), Information Systems (1.1k citations), Computer Networks and Communications (607 citations), Artificial Intelligence (768 citations) and Industrial and Manufacturing Engineering (226 citations). Massimo Mecella has collaborated with scholars based in Italy, Netherlands and Germany. Frequent co-authors include Giuseppe De Giacomo, Daniela Berardi, Diego Calvanese, Andrea Marrella, Carlo Batini, Francesco Leotta, Claudio Di Ciccio, Maurizio Lenzerini, Tiziana Catarci and Massimiliano de Leoni. Their work appears in journals such as Software Practice and Experience, Software & Systems Modeling, Acta Astronautica, Future Internet and International Journal on Digital Libraries.

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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