Sergio de Cesare

34 papers and 344 indexed citations i.

About

Sergio de Cesare is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Sergio de Cesare has authored 34 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 19 papers in Artificial Intelligence and 16 papers in Management Information Systems. Recurrent topics in Sergio de Cesare’s work include Business Process Modeling and Analysis (16 papers), QoS-Aware Web Services Composition and Semantic Matching (16 papers) and Semantic Web and Ontologies (15 papers). Sergio de Cesare is often cited by papers focused on Business Process Modeling and Analysis (16 papers), QoS-Aware Web Services Composition and Semantic Matching (16 papers) and Semantic Web and Ontologies (15 papers). Sergio de Cesare collaborates with scholars based in United Kingdom, United States and Belgium. Sergio de Cesare's co-authors include Mark Lycett, Ali Ziaee Bigdeli, Muhammad Mustafa Kamal, David Bell, Chris Partridge, Allan Tucker, Gheorghiţă Ghinea, Antonio Merico, Frederik Gailly and Nicola Alessandro Iacovelli and has published in prestigious journals such as Communications of the ACM, Marine Ecology Progress Series and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Sergio de Cesare i

Fields of papers citing papers by Sergio de Cesare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio de Cesare. 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 Sergio de Cesare. The network helps show where Sergio de Cesare may publish in the future.

Countries citing papers authored by Sergio de Cesare

Since Specialization
Citations

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