Marco Paleari

41 total papers · 586 total citations
26 papers, 385 citations indexed

About

Marco Paleari is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Marco Paleari has authored 26 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Marco Paleari's work include Muscle activation and electromyography studies (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Neuroscience and Neural Engineering (5 papers). Marco Paleari is often cited by papers focused on Muscle activation and electromyography studies (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Neuroscience and Neural Engineering (5 papers). Marco Paleari collaborates with scholars based in Italy, France and United States. Marco Paleari's co-authors include Benoît Huet, Paolo Ariano, Ryad Chellali, Valentina Margaria, Marco Gazzoni, Christine Lisetti, Matteo Stoppa, P. Pandolfi, Alessandro Chiolerio and Danilo Demarchi and has published in prestigious journals such as PLoS ONE, Polymer and Organic Electronics.

In The Last Decade

Marco Paleari

25 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Marco Paleari	184	102	101	91	72	26	385
Samer Al Kork	128 0.7×	93 0.9×	145 1.4×	65 0.7×	26 0.4×	44	432
Taha Beyrouthy	107 0.6×	83 0.8×	135 1.3×	63 0.7×	23 0.3×	39	396
Eduardo Parente Ribeiro	86 0.5×	65 0.6×	141 1.4×	42 0.5×	35 0.5×	50	419
Ashkan Yazdani	72 0.4×	78 0.8×	201 2.0×	118 1.3×	79 1.1×	16	358
Vandad Davoodnia	107 0.6×	43 0.4×	149 1.5×	47 0.5×	28 0.4×	11	336
Long Meng	167 0.9×	54 0.5×	183 1.8×	41 0.5×	25 0.3×	40	376
Mahyar Hamedi	101 0.5×	55 0.5×	304 3.0×	53 0.6×	64 0.9×	22	424
Hany Ferdinando	72 0.4×	81 0.8×	92 0.9×	80 0.9×	49 0.7×	47	374
Koel Das	59 0.3×	61 0.6×	250 2.5×	29 0.3×	42 0.6×	30	377
Lie Yang	30 0.2×	76 0.7×	159 1.6×	57 0.6×	45 0.6×	32	436

Countries citing papers authored by Marco Paleari

Since Specialization

Citations

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

Fields of papers citing papers by Marco Paleari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Paleari

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