Federico Corraro

110 total papers · 1.0k total citations
91 papers, 810 citations indexed

About

Federico Corraro is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Federico Corraro has authored 91 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Aerospace Engineering, 26 papers in Control and Systems Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Federico Corraro's work include Air Traffic Management and Optimization (32 papers), Aerospace and Aviation Technology (32 papers) and Target Tracking and Data Fusion in Sensor Networks (17 papers). Federico Corraro is often cited by papers focused on Air Traffic Management and Optimization (32 papers), Aerospace and Aviation Technology (32 papers) and Target Tracking and Data Fusion in Sensor Networks (17 papers). Federico Corraro collaborates with scholars based in Italy, France and Germany. Federico Corraro's co-authors include Umberto Ciniglio, Salvatore Luongo, Ciro Carbone, Roberto Palumbo, M. Ariola, Vittorio Di Vito, G. Ambrosino, A. Pironti, Antonio Moccia and Domenico Accardo and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, Journal of Guidance Control and Dynamics and Journal of Aircraft.

In The Last Decade

Federico Corraro

87 papers receiving 779 citations

Author Peers

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

Author						Papers	Cites
Federico Corraro	675	281	205	105	96	91	810
Victor Cheng	747 1.1×	183 0.7×	339 1.7×	43 0.4×	105 1.1×	82	967
Hakan Temeltaş	301 0.4×	280 1.0×	369 1.8×	47 0.4×	89 0.9×	101	806
Jonathan Rogers	537 0.8×	100 0.4×	286 1.4×	33 0.3×	174 1.8×	127	999
Tiauw Hiong Go	599 0.9×	105 0.4×	339 1.7×	34 0.3×	29 0.3×	67	855
Zhe Wu	514 0.8×	177 0.6×	133 0.6×	21 0.2×	49 0.5×	80	771
Manuel Soler	714 1.1×	122 0.4×	114 0.6×	155 1.5×	38 0.4×	68	923
José Raúl Azinheira	757 1.1×	230 0.8×	380 1.9×	80 0.8×	38 0.4×	54	1.0k
Ashwin P. Dani	339 0.5×	440 1.6×	407 2.0×	25 0.2×	148 1.5×	76	997
Venanzio Cichella	467 0.7×	397 1.4×	272 1.3×	72 0.7×	35 0.4×	69	812
C.R. Weisbin	378 0.6×	272 1.0×	209 1.0×	12 0.1×	109 1.1×	97	732

Countries citing papers authored by Federico Corraro

Since Specialization

Citations

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

Fields of papers citing papers by Federico Corraro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Corraro

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