Federica Bisio

40 total papers · 1.1k total citations
22 papers, 671 citations indexed

About

Federica Bisio is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Federica Bisio has authored 22 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Federica Bisio's work include Machine Learning and ELM (8 papers), Sentiment Analysis and Opinion Mining (6 papers) and Network Security and Intrusion Detection (6 papers). Federica Bisio is often cited by papers focused on Machine Learning and ELM (8 papers), Sentiment Analysis and Opinion Mining (6 papers) and Network Security and Intrusion Detection (6 papers). Federica Bisio collaborates with scholars based in Italy, Singapore and Mexico. Federica Bisio's co-authors include Erik Cambria, Soujanya Poria, Rodolfo Zunino, Paolo Gastaldo, Jie Fu, Iti Chaturvedi, Luca Oneto, Davide Anguita, Alexander Gelbukh and Amir Hussain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Neural Networks.

In The Last Decade

Federica Bisio

22 papers receiving 650 citations

Author Peers

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

Author						Papers	Cites
Federica Bisio	527	108	64	51	51	22	671
Kashfia Sailunaz	340 0.6×	100 0.9×	75 1.2×	37 0.7×	86 1.7×	17	595
Bo Pang	183 0.3×	106 1.0×	90 1.4×	64 1.3×	72 1.4×	29	597
Emily Reif	446 0.8×	70 0.6×	108 1.7×	17 0.3×	36 0.7×	16	775
Yafang Wang	219 0.4×	109 1.0×	177 2.8×	50 1.0×	37 0.7×	51	575
Jaime Carbonell	409 0.8×	74 0.7×	80 1.3×	24 0.5×	20 0.4×	24	636
Lin Yue	493 0.9×	150 1.4×	52 0.8×	12 0.2×	91 1.8×	30	723
Chhavi Sharma	204 0.4×	75 0.7×	41 0.6×	26 0.5×	66 1.3×	30	657
Luwei Xiao	400 0.8×	42 0.4×	94 1.5×	16 0.3×	31 0.6×	26	655
Hai Liu	360 0.7×	307 2.8×	213 3.3×	26 0.5×	30 0.6×	18	701
Lihong Cao	266 0.5×	83 0.8×	73 1.1×	20 0.4×	92 1.8×	58	765

Countries citing papers authored by Federica Bisio

Since Specialization

Citations

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

Fields of papers citing papers by Federica Bisio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Bisio

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

All Works

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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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