Erion Çano

593 citations
9 papers · 255 · h-index 5

Impact in

Papers in

Journals
ACM Computing Surveys (1 paper)Intelligent Data Analysis (1 paper)Data Technologies and Applications (1 paper)PORTO Publications Open Repository TOrino (Politecnico di Torino) (1 paper)International Journal of Artificial Intelligence & Applications (1 paper)
Partner nations
ItalyGermanyUzbekistan

In The Last Decade

Erion Çano

8 papers receiving 243 citations

Peers

Erion Çano
Comparison fields: 5 of 41
  • Information Systems 172
  • Signal Processing 44
  • Artificial Intelligence 123
  • Computer Vision and Pattern Recognition 60
  • Computer Science Applications 14
Replace Matthias Braunhofer with:
Matthias Braunhofer Italy
Andy MacFarlane United Kingdom
Alessandro B. Melchiorre Austria
Yanen Li United States
Uri Hanani Israel
Hai-Tao Yu Japan
Oren Sar Shalom Israel
Geoffray Bonnin France
Saverio Perugini United States
Hengliang Luo China
Erion Çano relative to Matthias Braunhofer Italy Matthias Braunhofer's profile →
Citations per field
00.5×
Matthias Braunhofer · 1×
Citations per year

Countries citing papers authored by Erion Çano

Since Specialization
Citations

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

Fields of papers citing papers by Erion Çano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Erion Çano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erion Çano Line = papers co-authored together Erion Çano links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2017196
2 201719
3 201713
4 20189
5 20156
6
Cloud-based Recommendation Systems: Applications and Solutions
20164
7 20174
8 20184
9 20250

About Erion Çano

Erion Çano is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 9 papers that have together received 255 indexed citations. Recurring topics across this work include Music and Audio Processing (4 papers), Recommender Systems and Techniques (3 papers), Speech and Audio Processing (2 papers), Caching and Content Delivery (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Music Technology and Sound Studies (2 papers), Topic Modeling (2 papers) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Information Systems (172 citations), Signal Processing (44 citations), Artificial Intelligence (123 citations), Computer Vision and Pattern Recognition (60 citations) and Computer Science Applications (14 citations). Erion Çano has collaborated with scholars based in Italy, Germany and Uzbekistan. Frequent co-authors include Maurizio Morisio and Ivan Habernal. Their work appears in journals such as ACM Computing Surveys, Intelligent Data Analysis, Data Technologies and Applications, PORTO Publications Open Repository TOrino (Politecnico di Torino) and International Journal of Artificial Intelligence & Applications.

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