Alberto Landi

216 total papers · 1.8k total citations
134 papers, 1.3k citations indexed

About

Alberto Landi is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Alberto Landi has authored 134 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 40 papers in Mechanical Engineering and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Alberto Landi's work include Electrical Contact Performance and Analysis (16 papers), Fault Detection and Control Systems (13 papers) and Railway Systems and Energy Efficiency (13 papers). Alberto Landi is often cited by papers focused on Electrical Contact Performance and Analysis (16 papers), Fault Detection and Control Systems (13 papers) and Railway Systems and Energy Efficiency (13 papers). Alberto Landi collaborates with scholars based in Italy, Switzerland and Belgium. Alberto Landi's co-authors include Luca Sani, Alessandro Balestrino, Marco Laurino, Danilo Menicucci, Paolo Piaggi, Angelo Gemignani, Marco Papi, Graziella Bruno, Gabriele Pannocchia and Fiorenzo Artoni and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and IEEE Transactions on Automatic Control.

In The Last Decade

Alberto Landi

119 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Alberto Landi	293	280	229	170	169	134	1.3k
Rong Liu	159 0.5×	202 0.7×	151 0.7×	131 0.8×	468 2.8×	99	1.7k
Frank Weichert	184 0.6×	197 0.7×	72 0.3×	275 1.6×	258 1.5×	76	1.6k
Amir Shapiro	418 1.4×	417 1.5×	167 0.7×	70 0.4×	585 3.5×	106	1.4k
Bing Ji	122 0.4×	101 0.4×	128 0.6×	126 0.7×	225 1.3×	116	1.8k
Jing Guo	170 0.6×	150 0.5×	144 0.6×	85 0.5×	298 1.8×	136	1.2k
Bingwei He	220 0.8×	201 0.7×	146 0.6×	45 0.3×	243 1.4×	148	1.5k
Qiang Gao	182 0.6×	299 1.1×	169 0.7×	579 3.4×	140 0.8×	132	1.4k
Daehie Hong	593 2.0×	683 2.4×	136 0.6×	49 0.3×	611 3.6×	143	1.8k
Satoshi Suzuki	214 0.7×	393 1.4×	113 0.5×	181 1.1×	546 3.2×	210	1.5k
Yuliang Zhao	165 0.6×	92 0.3×	307 1.3×	77 0.5×	638 3.8×	131	1.6k

Countries citing papers authored by Alberto Landi

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Landi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Landi

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