Stefano Pastore

54 total papers · 488 total citations
42 papers, 356 citations indexed

About

Stefano Pastore is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Stefano Pastore has authored 42 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in Stefano Pastore's work include Low-power high-performance VLSI design (7 papers), Advanced Memory and Neural Computing (6 papers) and Power Transformer Diagnostics and Insulation (6 papers). Stefano Pastore is often cited by papers focused on Low-power high-performance VLSI design (7 papers), Advanced Memory and Neural Computing (6 papers) and Power Transformer Diagnostics and Insulation (6 papers). Stefano Pastore collaborates with scholars based in Italy, Algeria and Israel. Stefano Pastore's co-authors include A. Premoli, Silvano Cincotti, Linda Ponta, A. Contin, Daniele Bosich, Giorgio Sulligoi, Alessandro Pavan, Romeo Danielis, Mariangela Scorrano and G. Giadrossi and has published in prestigious journals such as Sensors, IEEE Transactions on Industry Applications and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Stefano Pastore

37 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
Stefano Pastore	218	81	70	62	42	42	356
Pu Chen	102 0.5×	40 0.5×	29 0.4×	19 0.3×	17 0.4×	46	334
Maximilian Balandat	118 0.5×	10 0.1×	17 0.2×	48 0.8×	6 0.1×	21	301
Zhenda Hu	96 0.4×	52 0.6×	6 0.1×	35 0.6×	12 0.3×	28	310
Xinwei Cao	46 0.2×	24 0.3×	22 0.3×	24 0.4×	30 0.7×	51	390
Zhen Zhen	66 0.3×	9 0.1×	25 0.4×	11 0.2×	37 0.9×	104	350
Lun Li	59 0.3×	7 0.1×	26 0.4×	19 0.3×	6 0.1×	46	328
Daniel Andersson	34 0.2×	69 0.9×	11 0.2×	51 0.8×	181 4.3×	27	328
Peng Peng	35 0.2×	29 0.4×	19 0.3×	16 0.3×	15 0.4×	39	376
Mariam Kiran	94 0.4×	11 0.1×	10 0.1×	12 0.2×	3 0.1×	47	396
Manish Agrawal	161 0.7×	16 0.2×	21 0.3×	3 0.0×	23 0.5×	33	367

Countries citing papers authored by Stefano Pastore

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Pastore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Pastore

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