Marco Marchesi

43 total papers · 602 total citations
33 papers, 479 citations indexed

About

Marco Marchesi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Mechanical Engineering. According to data from OpenAlex, Marco Marchesi has authored 33 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 17 papers in Computer Networks and Communications and 17 papers in Mechanical Engineering. Recurrent topics in Marco Marchesi's work include Magnetic Field Sensors Techniques (27 papers), Sensor Technology and Measurement Systems (17 papers) and Non-Destructive Testing Techniques (13 papers). Marco Marchesi is often cited by papers focused on Magnetic Field Sensors Techniques (27 papers), Sensor Technology and Measurement Systems (17 papers) and Non-Destructive Testing Techniques (13 papers). Marco Marchesi collaborates with scholars based in Italy, Switzerland and United States. Marco Marchesi's co-authors include E. Dallago, G. Venchi, P. Malcovati, A. Basçhirotto, Pier Andrea Traverso, Aldo Romani, Marco Crescentini, Marco Tartagni, Pietro Siciliano and R. Canegallo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and Industrial & Engineering Chemistry Research.

In The Last Decade

Marco Marchesi

33 papers receiving 464 citations

Author Peers

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

Author						Papers	Cites
Marco Marchesi	409	237	117	56	45	33	479
Hui Yan	268 0.7×	76 0.3×	57 0.5×	12 0.2×	180 4.0×	39	549
DL Paul	305 0.7×	29 0.1×	15 0.1×	67 1.2×	80 1.8×	33	414
Diego Ramı́rez Muñoz	341 0.8×	122 0.5×	83 0.7×	4 0.1×	104 2.3×	26	484
Zhuohong Pan	329 0.8×	44 0.2×	16 0.1×	50 0.9×	4 0.1×	29	419
M. Higaki	376 0.9×	45 0.2×	10 0.1×	50 0.9×	11 0.2×	21	427
Yi Luo	303 0.7×	57 0.2×	66 0.6×	75 1.3×	93 2.1×	51	531
Mohammadreza Amini	178 0.4×	43 0.2×	148 1.3×	3 0.1×	37 0.8×	47	410
R.W. Beatty	406 1.0×	18 0.1×	34 0.3×	9 0.2×	53 1.2×	39	492
Xue Zhang	316 0.8×	21 0.1×	41 0.4×	8 0.1×	87 1.9×	46	520
James E. Winter	101 0.2×	16 0.1×	27 0.2×	48 0.9×	35 0.8×	29	416

Countries citing papers authored by Marco Marchesi

Since Specialization

Citations

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

Fields of papers citing papers by Marco Marchesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Marchesi

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