Marcello La Rosa

79 papers and 3.1k indexed citations i.

About

Marcello La Rosa is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Marcello La Rosa has authored 79 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Management Information Systems, 48 papers in Information Systems and 21 papers in Artificial Intelligence. Recurrent topics in Marcello La Rosa’s work include Business Process Modeling and Analysis (70 papers), QoS-Aware Web Services Composition and Semantic Matching (44 papers) and Semantic Web and Ontologies (16 papers). Marcello La Rosa is often cited by papers focused on Business Process Modeling and Analysis (70 papers), QoS-Aware Web Services Composition and Semantic Matching (44 papers) and Semantic Web and Ontologies (16 papers). Marcello La Rosa collaborates with scholars based in Australia, Estonia and The Netherlands. Marcello La Rosa's co-authors include Marlon Dumas, Jan Mendling, Hajo A. Reijers, Wil M. P. van der Aalst, Raffaele Conforti, Arthur H. M. ter Hofstede, Fabrizio Maria Maggi, Adriano Augusto, Remco Dijkman and Luciano García‐Bañuelos and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and IEEE Transactions on Industrial Informatics.

In The Last Decade

Co-authorship network of co-authors of Marcello La Rosa i

Fields of papers citing papers by Marcello La Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Marcello La Rosa

Since Specialization
Citations

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).

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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