Riccardo Ortale

795 total citations
50 papers, 419 citations indexed

About

Riccardo Ortale is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Riccardo Ortale has authored 50 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 22 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Riccardo Ortale's work include Data Mining Algorithms and Applications (13 papers), Data Management and Algorithms (13 papers) and Advanced Database Systems and Queries (12 papers). Riccardo Ortale is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Data Management and Algorithms (13 papers) and Advanced Database Systems and Queries (12 papers). Riccardo Ortale collaborates with scholars based in Italy, India and France. Riccardo Ortale's co-authors include Gianni Costa, Giuseppe Manco, Ettore Ritacco, Alfredo Cuzzocrea, Francesco Folino, Nicola Barbieri, Andrea Pugliese, Mario Cannataro, Carlo Mastroianni and Eugenio Cesario and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Artificial Intelligence.

In The Last Decade

Riccardo Ortale

48 papers receiving 334 citations

Peers

Riccardo Ortale
Comparison fields: 5 of 51
  • Artificial Intelligence 248
  • Information Systems 179
  • Signal Processing 116
  • Computer Networks and Communications 108
  • Statistical and Nonlinear Physics 73
Replace Byron J. Gao with:
Byron J. Gao United States
Gianni Costa Italy
Keivan Kianmehr Canada
Tanveer A. Faruquie India
Xiwu Gu China
Silviu Maniu France
Alessandro Epasto United States
Jalel Akaichi Tunisia
Marie-Aude Aufaure France
Hans Chalupsky United States
Byron J. Gao United States View profile →
Citations per field, relative to Riccardo Ortale
Riccardo Ortale · 1×
Citations per year, relative to Riccardo Ortale
Riccardo Ortale · 1×

Countries citing papers authored by Riccardo Ortale

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Ortale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Ortale

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Ortale. A scholar is included among the top collaborators of Riccardo Ortale 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 Riccardo Ortale. Riccardo Ortale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 11
4 1
5 5
6 5
7 35
8 4
9 2
10 12
11 22
12 7
13 12
14 3
15 22
16 2
17 14
18
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data.
1
19 4
20
RecBoost: A Supervised Approach to Text Segmentation.
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026