Federico Bianchi

78 total papers · 1.7k total citations
28 papers, 660 citations indexed

About

Federico Bianchi is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Federico Bianchi has authored 28 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in Information Systems. Recurrent topics in Federico Bianchi's work include Topic Modeling (15 papers), Natural Language Processing Techniques (9 papers) and Advanced Bandit Algorithms Research (3 papers). Federico Bianchi is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (9 papers) and Advanced Bandit Algorithms Research (3 papers). Federico Bianchi collaborates with scholars based in Italy, United States and Switzerland. Federico Bianchi's co-authors include James Zou, Mert Yüksekgönül, Zhi Huang, Thomas J. Montine, Dirk Hovy, Debora Nozza, E. V. Kovlakov, Jacob Biamonte, S. S. Straupe and S. P. Kulik and has published in prestigious journals such as Nature, Nature Medicine and Scientific Reports.

In The Last Decade

Federico Bianchi

26 papers receiving 642 citations

Hit Papers

A visual–language foundat... 2023 2026 2024 2023 2023 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Federico Bianchi 420 112 106 69 63 28 660
Shan Carter 399 0.9× 192 1.7× 32 0.3× 8 0.1× 43 0.7× 10 649
Joichi Ito 332 0.8× 56 0.5× 139 1.3× 4 0.1× 152 2.4× 33 639
Ning Xie 266 0.6× 102 0.9× 25 0.2× 12 0.2× 19 0.3× 20 580
Markus Plass 393 0.9× 84 0.8× 181 1.7× 4 0.1× 142 2.3× 23 675
Weixin Liang 347 0.8× 88 0.8× 63 0.6× 5 0.1× 187 3.0× 20 745
Peng Qi 479 1.1× 90 0.8× 26 0.2× 20 0.3× 51 0.8× 31 675
Zhiqiang Hu 302 0.7× 157 1.4× 72 0.7× 30 0.4× 12 0.2× 51 751
Neil Thompson 139 0.3× 32 0.3× 11 0.1× 19 0.3× 19 0.3× 28 645
Richard Tomsett 262 0.6× 36 0.3× 22 0.2× 3 0.0× 49 0.8× 17 608
Thomas C. King 131 0.3× 73 0.7× 9 0.1× 71 1.0× 55 0.9× 15 563

Countries citing papers authored by Federico Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Bianchi

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

All Works

Loading papers...

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