Gianni Costa

762 citations
45 papers · 358 indexed · h-index 12
Topics
Data Mining Algorithms and Applications (13 papers)Data Management and Algorithms (13 papers)Advanced Database Systems and Queries (11 papers)
Partner nations
ItalyIndiaFrance

In The Last Decade

Gianni Costa

44 papers receiving 285 citations

Peers

Gianni Costa
Comparison fields: 5 of 47
  • Artificial Intelligence 210
  • Information Systems 140
  • Signal Processing 105
  • Computer Networks and Communications 94
  • Statistical and Nonlinear Physics 69
Replace Riccardo Ortale with:
Riccardo Ortale Italy
Hongfei Yan China
Kenneth Wai-Ting Leung Hong Kong
Yantao Jia China
Jalel Akaichi Tunisia
Marcin Sydow Poland
Byron J. Gao United States
Alexis Papadimitriou Greece
Hema Raghavan United States
Gianni Costa relative to Riccardo Ortale Italy Riccardo Ortale's profile →
Citations per field
00.5×1.5×
Riccardo Ortale · 1×
Citations per year

Countries citing papers authored by Gianni Costa

Since Specialization
Citations

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

Fields of papers citing papers by Gianni Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianni Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Gianni Costa. A scholar is included among the top collaborators of Gianni Costa 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 Gianni Costa. Gianni Costa 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
#WorkIndexed citations
1 2
2 1
3 1
4 5
5 5
6 35
7 4
8 2
9 12
10 22
11 6
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
XQueC: pushing queries to compressed XML data (demo)
2

About Gianni Costa

Gianni Costa is a scholar working on Signal Processing, General Social Sciences and Information Systems, having authored 45 papers that have together received 358 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Data Management and Algorithms (13 papers) and Advanced Database Systems and Queries (11 papers). The work is most often cited by research in Signal Processing (105 citations), Artificial Intelligence (210 citations) and Information Systems (140 citations). Gianni Costa has collaborated with scholars based in Italy, India and France. Frequent co-authors include Riccardo Ortale, Giuseppe Manco, Ettore Ritacco, Nicola Barbieri, Yannis Theodoridis, Nikos Pelekis, Roberto Trasarti, Fosca Giannotti, Elio Masciari and Francesco Folino. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Artificial Intelligence.

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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