Gianfranco Fenu

70 total papers · 605 total citations
53 papers, 386 citations indexed

About

Gianfranco Fenu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Gianfranco Fenu has authored 53 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Gianfranco Fenu's work include Advanced Control Systems Optimization (13 papers), Fault Detection and Control Systems (12 papers) and Robot Manipulation and Learning (7 papers). Gianfranco Fenu is often cited by papers focused on Advanced Control Systems Optimization (13 papers), Fault Detection and Control Systems (12 papers) and Robot Manipulation and Learning (7 papers). Gianfranco Fenu collaborates with scholars based in Italy, United Kingdom and Cyprus. Gianfranco Fenu's co-authors include Felice Andrea Pellegrino, Eric Medvet, Gilberto Pin, Thomas Parisini, Franco Blanchini, Giulia Giordano, G. Gaio, M. Lonza, Noel Alpins and Silvia Rinaldi and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.

In The Last Decade

Gianfranco Fenu

48 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Gianfranco Fenu	167	72	55	53	50	53	386
Muhammad Ahsan Ullah	57 0.3×	36 0.5×	123 2.2×	63 1.2×	69 1.4×	39	399
Alexandru Stancu	219 1.3×	41 0.6×	39 0.7×	61 1.2×	18 0.4×	41	381
Anqi Pan	66 0.4×	31 0.4×	35 0.6×	111 2.1×	78 1.6×	43	406
Zi Ma	89 0.5×	52 0.7×	80 1.5×	55 1.0×	42 0.8×	52	359
Magdalena Marciano-Melchor	197 1.2×	38 0.5×	111 2.0×	21 0.4×	113 2.3×	30	368
Zhen Shi	120 0.7×	49 0.7×	45 0.8×	49 0.9×	36 0.7×	58	360
Zhenyu Jiang	111 0.7×	56 0.8×	86 1.6×	40 0.8×	20 0.4×	27	343
Shiqiang Zhu	76 0.5×	121 1.7×	95 1.7×	59 1.1×	70 1.4×	48	362
Christopher Reardon	66 0.4×	47 0.7×	215 3.9×	74 1.4×	35 0.7×	44	399
Omid Mohareri	125 0.7×	42 0.6×	145 2.6×	35 0.7×	23 0.5×	27	376

Countries citing papers authored by Gianfranco Fenu

Since Specialization

Citations

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

Fields of papers citing papers by Gianfranco Fenu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianfranco Fenu

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