This map shows the geographic impact of Fabio Celli'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 Fabio Celli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Celli more than expected).
This network shows the impact of papers produced by Fabio Celli. 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 Fabio Celli. The network helps show where Fabio Celli may publish in the future.
Co-authorship network of co-authors of Fabio Celli
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Celli.
A scholar is included among the top collaborators of Fabio Celli 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 Fabio Celli. Fabio Celli 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
1.
Celli, Fabio, Derwin Suhartono, Vladimir Filipović, et al.. (2025). Twenty Years of Personality Computing: Threats, Challenges and Future Directions. ArXiv.org.
Celli, Fabio & Bruno Lepri. (2018). Is Big Five Better than MBTI? A Personality Computing Challenge Using Twitter Data..31 indexed citations
5.
Celli, Fabio, et al.. (2017). Profilio. 546–550.3 indexed citations
6.
Alam, Firoj, et al.. (2016). The Social Mood of News: Self-reported Annotations to Design Automatic Mood Detection Systems. Institutional Research Information System (Università degli Studi di Trento). 143–152.3 indexed citations
7.
Celli, Fabio, Evgeny A. Stepanov, Massimo Poesio, & Giuseppe Riccardi. (2016). Predicting Brexit: Classifying Agreement is Better than Sentiment and Pollsters. International Conference on Computational Linguistics. 110–118.13 indexed citations
Aker, Ahmet, et al.. (2015). Sheffield-Trento System for Sentiment and Argument Structure Enhanced Comment-to-Article Linking in the Online News Domain.
Celli, Fabio. (2012). Unsupervised Personality Recognition for Social Network Sites. Institutional Research Information System (Università degli Studi di Trento). 59–62.32 indexed citations
17.
Celli, Fabio & Luca Rossi. (2012). The Role of Emotional Stability in Twitter Conversations. Institutional Research Information System (Università degli Studi di Trento). 10–17.29 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.