Andrea Burattin

3.6k citations
45 papers · 575 indexed · h-index 13

Andrea Burattin

40 papers receiving 546 citations

Peers

Andrea Burattin
Comparison fields: 5 of 61
  • Management Information Systems 458
  • Information Systems 281
  • Industrial and Manufacturing Engineering 86
  • Management Science and Operations Research 106
  • Artificial Intelligence 181
Replace Raffaele Conforti with:
Raffaele Conforti Australia
Christian Stahl Germany
Kees van Hee Netherlands
Daniela Grigori France
Henrik Leopold Netherlands
Jun-Jang Jeng United States
Ralf Laue Germany
Ken Laskey United States
Injun Choi South Korea
Devis Bianchini Italy
Andrea Burattin relative to Raffaele Conforti Australia Raffaele Conforti's profile →
Citations per field
00.5×1.6×
Raffaele Conforti · 1×
Citations per year

Countries citing papers authored by Andrea Burattin

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Burattin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20231
5 20236
6 20231
7 20231
8 20217
9
MQTT-XES: Real-time Telemetry for Process Event Data
20202
10 20206
11 20202
12 202015
13
Integrated, Ubiquitous and Collaborative Process Mining with Chat Bots
20191
14 20183
15 201870
16
Online Conformance Checking for Petri Nets and Event Streams
20172
17 201552
18
Data Streams in ProM 6: A Single-Node Architecture
20144
19 201320
20 201224

About Andrea Burattin

Andrea Burattin is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 45 papers that have together received 575 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (39 papers), Service-Oriented Architecture and Web Services (17 papers), Semantic Web and Ontologies (13 papers), Big Data and Business Intelligence (4 papers), Advanced Database Systems and Queries (4 papers), Petri Nets in System Modeling (4 papers), Software Engineering Research (3 papers) and Flexible and Reconfigurable Manufacturing Systems (3 papers). The work is most often cited by research in Management Information Systems (458 citations), Information Systems (281 citations) and Industrial and Manufacturing Engineering (86 citations). Andrea Burattin has collaborated with scholars based in Denmark, Italy and Switzerland. Frequent co-authors include Alessandro Sperduti, Fabrizio Maria Maggi, Massimiliano de Leoni, Mirko Polato, Wil M. P. van der Aalst, Barbara Weber, Marta Cimitile, Marcos Sepúlveda, Jorge Muñoz-Gama and Tijs Slaats. Their work appears in journals such as Expert Systems with Applications, International Journal of Environmental Research and Public Health 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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