Marino Segnan

24 papers and 341 indexed citations i.

About

Marino Segnan is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Marino Segnan has authored 24 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 13 papers in Artificial Intelligence and 10 papers in Management Information Systems. Recurrent topics in Marino Segnan’s work include QoS-Aware Web Services Composition and Semantic Matching (11 papers), Business Process Modeling and Analysis (10 papers) and Personal Information Management and User Behavior (8 papers). Marino Segnan is often cited by papers focused on QoS-Aware Web Services Composition and Semantic Matching (11 papers), Business Process Modeling and Analysis (10 papers) and Personal Information Management and User Behavior (8 papers). Marino Segnan collaborates with scholars based in Italy. Marino Segnan's co-authors include Liliana Ardissono, Giovanna Petrone, Anna Goy, Pietro Torasso, Giovanni Petrone, Antonio Di Leva, Michele Sonnessa, A. Goy, Claudia Picardi and Luca Console and has published in prestigious journals such as Communications of the ACM, Future Generation Computer Systems and The Computer Journal.

In The Last Decade

Co-authorship network of co-authors of Marino Segnan i

Fields of papers citing papers by Marino Segnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marino Segnan

Since Specialization
Citations

This map shows the geographic impact of Marino Segnan'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 Marino Segnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marino Segnan 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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2025