Andrea Mannocci

18 papers receiving 147 citations

Peers

Andrea Mannocci
Comparison fields: 5 of 39
  • Information Systems and Management 30
  • Statistics, Probability and Uncertainty 15
  • Information Systems 48
  • Computer Science Applications 11
  • Artificial Intelligence 64
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Countries citing papers authored by Andrea Mannocci

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Mannocci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Andrea Mannocci, 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 Andrea Mannocci Line = papers co-authored together Andrea Mannocci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201932
2 201217
3 202115
4 201915
5 202110
6 20179
7
Classifying Research Papers with the Computer Science Ontology
20189
8 20198
9 20148
10 20125
11 20155
12 20215
13 20234
14 20253
15 20183
16 20212
17
Data Searchery - Preliminary Analysis of Data Sources Interlinking.
20131
18
2100 AI: Reflections on the mechanisation of scientific discovery
20171
19 20250
20
L'associazione tra sintomo e ricerca delle IgE specifiche nei pazienti allergici
20060

About Andrea Mannocci

Andrea Mannocci is a scholar working on Artificial Intelligence, Information Systems, Information Systems and Management, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 21 papers that have together received 152 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Scientific Computing and Data Management (7 papers), Research Data Management Practices (5 papers), Data Quality and Management (4 papers), scientometrics and bibliometrics research (4 papers), Advanced Wireless Network Optimization (2 papers), Wireless Networks and Protocols (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Information Systems and Management (30 citations), Statistics, Probability and Uncertainty (15 citations), Information Systems (48 citations), Computer Science Applications (11 citations) and Artificial Intelligence (64 citations). Andrea Mannocci has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Francesco Osborne, Enrico Motta, Paolo Manghi, Angelo A. Salatino, Miriam Baglioni, Aliaksandr Birukou, Albert Banchs, Vincenzo Mancuso, Pablo Serrano and Paul Patras. Their work appears in journals such as Quantitative Science Studies, Data Science Journal, Computer Networks, Program electronic library and information systems and Data Intelligence.

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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