Valter Crescenzi

21 papers and 542 indexed citations i.

About

Valter Crescenzi is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Valter Crescenzi has authored 21 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 11 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Valter Crescenzi’s work include Web Data Mining and Analysis (16 papers), Algorithms and Data Compression (7 papers) and Data Quality and Management (5 papers). Valter Crescenzi is often cited by papers focused on Web Data Mining and Analysis (16 papers), Algorithms and Data Compression (7 papers) and Data Quality and Management (5 papers). Valter Crescenzi collaborates with scholars based in Italy, United Kingdom and United States. Valter Crescenzi's co-authors include Giansalvatore Mecca, Paolo Merialdo, Paolo Papotti, Paolo Missier, Mirko Bronzi, Alvaro A. A. Fernandes, Lorenzo Blanco, Norman W. Paton, Paolo Atzeni and Thomas Gottron and has published in prestigious journals such as Journal of the ACM, Proceedings of the VLDB Endowment and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Valter Crescenzi i

Fields of papers citing papers by Valter Crescenzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Valter Crescenzi

Since Specialization
Citations

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