Erion Çano

593 total citations
9 papers, 255 citations indexed

About

Erion Çano is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Erion Çano has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Signal Processing, 4 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Erion Çano's work include Music and Audio Processing (4 papers), Recommender Systems and Techniques (3 papers) and Speech and Audio Processing (2 papers). Erion Çano is often cited by papers focused on Music and Audio Processing (4 papers), Recommender Systems and Techniques (3 papers) and Speech and Audio Processing (2 papers). Erion Çano collaborates with scholars based in Italy, Germany and Uzbekistan. Erion Çano's co-authors include Maurizio Morisio and Ivan Habernal and has published in prestigious journals such as ACM Computing Surveys, Intelligent Data Analysis and Data Technologies and Applications.

In The Last Decade

Erion Çano

8 papers receiving 243 citations

Peers

Erion Çano
Uri Hanani Israel
Erion Çano
Citations per year, relative to Erion Çano Erion Çano (= 1×) peers Uri Hanani

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-authorship network of co-authors of Erion Çano

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

All Works

9 of 9 papers shown
1.
Çano, Erion, et al.. (2025). A Comprehensive Survey on Legal Summarization: Challenges and Future Directions. ACM Computing Surveys. 58(7). 1–32.
2.
Çano, Erion & Maurizio Morisio. (2018). A data-driven neural network architecture for sentiment analysis. Data Technologies and Applications. 53(1). 2–19. 4 indexed citations
3.
Çano, Erion & Maurizio Morisio. (2018). A deep learning architecture for sentiment analysis. 122–126. 9 indexed citations
4.
Çano, Erion & Maurizio Morisio. (2017). Crowdsourcing Emotions in Music Domain. International Journal of Artificial Intelligence & Applications. 8(4). 25–40. 4 indexed citations
5.
Çano, Erion & Maurizio Morisio. (2017). Music Mood Dataset Creation Based on Last FM Tags. 15–26. 13 indexed citations
6.
Çano, Erion & Maurizio Morisio. (2017). MoodyLyrics. 118–124. 19 indexed citations
7.
Çano, Erion & Maurizio Morisio. (2017). Hybrid recommender systems: A systematic literature review. Intelligent Data Analysis. 21(6). 1487–1524. 196 indexed citations
8.
Çano, Erion. (2016). Cloud-based Recommendation Systems: Applications and Solutions. PORTO Publications Open Repository TOrino (Politecnico di Torino). 4 indexed citations
9.
Çano, Erion & Maurizio Morisio. (2015). Characterization of public datasets for Recommender Systems. 249–257. 6 indexed citations

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