Laura Bocchi

1.1k citations
22 papers · 115 · h-index 8

Impact in

Papers in

Laura Bocchi

18 papers receiving 112 citations

Peers

Laura Bocchi
Comparison fields: 5 of 15
  • Software 14
  • Information Systems 61
  • Management Information Systems 24
  • Artificial Intelligence 86
  • Computational Theory and Mathematics 38
Replace Eric Madelaine with:
Eric Madelaine France
Pieter Koopman Netherlands
Kaïs Klai France
Hernán Melgratti Italy
Fabrice Kordon France
Peter Y. H. Wong Spain
Jean-Marie Jacquet Belgium
Dimitar P. Guelev Bulgaria
Daniel Yankelevich Argentina
Lucia Pomello Italy
Laura Bocchi relative to Eric Madelaine France Eric Madelaine's profile →
Citations per field
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Citations per year

Countries citing papers authored by Laura Bocchi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Bocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200819
2 201718
3 201511
4 201710
5 201010
6 200610
7 20098
8
Discovering coordination patterns using process mining
20047
9 20114
10 20144
11 20193
12 20173
13 20042
14 20122
15 20181
16 20141
17 20051
18
Infrastructure for Adaptive Workflows in Semantic Grids
20051
19 20240
20 20090

About Laura Bocchi

Laura Bocchi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Information Systems and Computational Theory and Mathematics, having authored 22 papers that have together received 115 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (9 papers), Business Process Modeling and Analysis (7 papers), Logic, programming, and type systems (7 papers), Formal Methods in Verification (6 papers), Advanced Software Engineering Methodologies (6 papers), Distributed systems and fault tolerance (6 papers), Advanced Database Systems and Queries (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Software (14 citations), Information Systems (61 citations), Management Information Systems (24 citations), Artificial Intelligence (86 citations) and Computational Theory and Mathematics (38 citations). Laura Bocchi has collaborated with scholars based in United Kingdom, Italy and Portugal. Frequent co-authors include Nobuko Yoshida, José Luiz Fiadeiro, Antónia Lopes, Paolo Ciancarini, Julien Lange, Rumyana Neykova, Romain Demangeon, Tzu‐Chun Chen, Emilio Tuosto and Rosario Pugliese. Their work appears in journals such as Formal Aspects of Computing, Logical Methods in Computer Science, Service Oriented Computing and Applications, Theoretical Computer Science and Electronic Notes in Theoretical Computer Science.

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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