Marcello La Rosa
About
In The Last Decade
Marcello La Rosa
109 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Management Information Systems 2.9k
- Information Systems 2.0k
- Artificial Intelligence 1.1k
- Industrial and Manufacturing Engineering 622
- Management Science and Operations Research 540
Countries citing papers authored by Marcello La Rosa
This map shows the geographic impact of Marcello La Rosa'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 Marcello La Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello La Rosa more than expected).
Fields of papers citing papers by Marcello La Rosa
This network shows the impact of papers produced by Marcello La Rosa. 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 Marcello La Rosa. The network helps show where Marcello La Rosa may publish in the future.
Co-authorship network of co-authors of Marcello La Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Marcello La Rosa. A scholar is included among the top collaborators of Marcello La Rosa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcello La Rosa. Marcello La Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 40 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs | 1 |
| 6 | 39 | |
| 7 | Multi-Perspective process model discovery for robotic process automation | 14 |
| 8 | Filtering out infrequent behavior from business process event logs | 52 |
| 9 | Mining business process stages from event logs | 1 |
| 10 | Nirdizati: A web-based tool for predictive process monitoring | 4 |
| 11 | Comparing static and dynamic aspects of patient flows via process model visualisations | 1 |
| 12 | Noise filtering of process execution logs based on outliers detection | 4 |
| 13 | 6 | |
| 14 | Real-time risk monitoring in business processes : a sensor-based approach | 1 |
| 15 | Understanding business process models: The costs and benefits of structuredness | 25 |
| 16 | Discovering characteristics of stochastic collections of process models | 4 |
| 17 | Efficient and accurate retrieval of business process models through indexing (short paper) | 7 |
| 18 | Merging business process models | 41 |
| 19 | Controlled flexibility and lifecycle management of business processes through extensibility | 7 |
| 20 | Beyond Control-Flow: Extending Business Process Configuration to Resources and Objects | 1 |
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.