Federica Garin

89 total papers · 715 total citations
41 papers, 289 citations indexed

About

Federica Garin is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Federica Garin has authored 41 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 16 papers in Control and Systems Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Federica Garin's work include Distributed Control Multi-Agent Systems (14 papers), Stability and Control of Uncertain Systems (7 papers) and Cooperative Communication and Network Coding (7 papers). Federica Garin is often cited by papers focused on Distributed Control Multi-Agent Systems (14 papers), Stability and Control of Uncertain Systems (7 papers) and Cooperative Communication and Network Coding (7 papers). Federica Garin collaborates with scholars based in France, Italy and United States. Federica Garin's co-authors include Carlos Canudas de Wit, Sandro Zampieri, Ruggero Carli, Fabio Fagnani, Paolo Frasca, Giacomo Como, Karl Henrik Johansson, Damiano Varagnolo, Alain Y. Kibangou and Enrico Lovisari and has published in prestigious journals such as IEEE Transactions on Information Theory, Automatica and IEEE Transactions on Control Systems Technology.

In The Last Decade

Federica Garin

38 papers receiving 267 citations

Author Peers

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

Author						Papers	Cites
Federica Garin	184	122	63	41	33	41	289
Enrico Lovisari	155 0.8×	167 1.4×	36 0.6×	11 0.3×	94 2.8×	27	307
Jian Yang	86 0.5×	60 0.5×	22 0.3×	71 1.7×	2 0.1×	33	260
Yan Li	123 0.7×	168 1.4×	28 0.4×	43 1.0×	9 0.3×	41	318
Ning Li	62 0.3×	255 2.1×	61 1.0×	26 0.6×	8 0.2×	27	326
Yijie Shi	71 0.4×	30 0.2×	16 0.3×	98 2.4×	22 0.7×	45	287
Haifeng Sun	178 1.0×	45 0.4×	153 2.4×	45 1.1×	13 0.4×	28	307
Xihui Chen	53 0.3×	56 0.5×	47 0.7×	111 2.7×	45 1.4×	33	301
Huanli Gao	131 0.7×	265 2.2×	94 1.5×	9 0.2×	48 1.5×	34	329
Ye Ren	48 0.3×	192 1.6×	84 1.3×	28 0.7×	68 2.1×	41	310
Jing Ma	143 0.8×	124 1.0×	96 1.5×	109 2.7×	12 0.4×	34	313

Countries citing papers authored by Federica Garin

Since Specialization

Citations

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

Fields of papers citing papers by Federica Garin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Garin

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Garin. A scholar is included among the top collaborators of Federica Garin 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 Garin. Federica Garin 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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